Publications

This page lists selected papers by lab members - see also a complete list of Amir's publications

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[ link ] [ link ]
[DOI]

@inproceedings{lin-zeldes-2024-gumsley,
    title = "{GUM}sley: Evaluating Entity Salience in Summarization for 12 {E}nglish Genres",
    author = "Lin, Jessica  and
      Zeldes, Amir",
    editor = "Graham, Yvette  and
      Purver, Matthew",
    booktitle = "Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = mar,
    year = "2024",
    address = "St. Julian{'}s, Malta",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.eacl-long.158",
    pages = "2575--2588",
    abstract = "As NLP models become increasingly capable of understanding documents in terms of coherent entities rather than strings, obtaining the most salient entities for each document is not only an important end task in itself but also vital for Information Retrieval (IR) and other downstream applications such as controllable summarization. In this paper, we present and evaluate GUMsley, the first entity salience dataset covering all named and non-named salient entities for 12 genres of English text, aligned with entity types, Wikification links and full coreference resolution annotations. We promote a strict definition of salience using human summaries and demonstrate high inter-annotator agreement for salience based on whether a source entity is mentioned in the summary. Our evaluation shows poor performance by pre-trained SOTA summarization models and zero-shot LLM prompting in capturing salient entities in generated summaries. We also show that predicting or providing salient entities to several model architectures enhances performance and helps derive higher-quality summaries by alleviating the entity hallucination problem in existing abstractive summarization.",
}
@inproceedings{zhu-etal-2023-incorporating,
    title = "Incorporating Singletons and Mention-based Features in Coreference Resolution via Multi-task Learning for Better Generalization",
    author = "Zhu, Yilun  and
      Peng, Siyao  and
      Pradhan, Sameer  and
      Zeldes, Amir",
    editor = "Park, Jong C.  and
      Arase, Yuki  and
      Hu, Baotian  and
      Lu, Wei  and
      Wijaya, Derry  and
      Purwarianti, Ayu  and
      Krisnadhi, Adila Alfa",
    booktitle = "Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)",
    month = nov,
    year = "2023",
    address = "Nusa Dua, Bali",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.ijcnlp-short.14",
    pages = "121--130",
}
@inproceedings{liu-etal-2023-whats,
    title = "What{'}s Hard in {E}nglish {RST} Parsing? Predictive Models for Error Analysis",
    author = "Liu, Yang Janet  and
      Aoyama, Tatsuya  and
      Zeldes, Amir",
    editor = "Stoyanchev, Svetlana  and
      Joty, Shafiq  and
      Schlangen, David  and
      Dusek, Ondrej  and
      Kennington, Casey  and
      Alikhani, Malihe",
    booktitle = "Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue",
    month = sep,
    year = "2023",
    address = "Prague, Czechia",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.sigdial-1.3",
    pages = "31--42",
    abstract = "Despite recent advances in Natural Language Processing (NLP), hierarchical discourse parsing in the framework of Rhetorical Structure Theory remains challenging, and our understanding of the reasons for this are as yet limited. In this paper, we examine and model some of the factors associated with parsing difficulties in previous work: the existence of implicit discourse relations, challenges in identifying long-distance relations, out-of-vocabulary items, and more. In order to assess the relative importance of these variables, we also release two annotated English test-sets with explicit correct and distracting discourse markers associated with gold standard RST relations. Our results show that as in shallow discourse parsing, the explicit/implicit distinction plays a role, but that long-distance dependencies are the main challenge, while lack of lexical overlap is less of a problem, at least for in-domain parsing. Our final model is able to predict where errors will occur with an accuracy of 76.3{\%} for the bottom-up parser and 76.6{\%} for the top-down parser.",
}
@inproceedings{braud-etal-2023-disrpt,
    title = "The {DISRPT} 2023 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification",
    author = "Braud, Chlo{\'e}  and
      Liu, Yang Janet  and
      Metheniti, Eleni  and
      Muller, Philippe  and
      Rivi{\`e}re, Laura  and
      Rutherford, Attapol  and
      Zeldes, Amir",
    booktitle = "Proceedings of the 3rd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2023)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "The Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.disrpt-1.1",
    doi = "10.18653/v1/2023.disrpt-1.1",
    pages = "1--21",
    abstract = "In 2023, the third iteration of the DISRPT Shared Task (Discourse Relation Parsing and Treebanking) was held, dedicated to the underlying units used in discourse parsing across formalisms. Following the success of the 2019and 2021 tasks on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification, this iteration has added 10 new corpora, including 2 new languages (Thai and Italian) and 3 discourse treebanks annotated in the discourse dependency representation in addition to the previously included frameworks: RST, SDRT, and PDTB. In this paper, we review the data included in the Shared Task, which covers 26 datasets across 13 languages, survey and compare submitted systems, and report on system performance on each task for both annotated and plain-tokenized versions of the data.",
}
@inproceedings{aoyama-etal-2023-gentle,
    title = "{GENTLE}: A Genre-Diverse Multilayer Challenge Set for {E}nglish {NLP} and Linguistic Evaluation",
    author = "Aoyama, Tatsuya  and
      Behzad, Shabnam  and
      Gessler, Luke  and
      Levine, Lauren  and
      Lin, Jessica  and
      Liu, Yang Janet  and
      Peng, Siyao  and
      Zhu, Yilun  and
      Zeldes, Amir",
    booktitle = "Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.law-1.17",
    doi = "10.18653/v1/2023.law-1.17",
    pages = "166--178",
    abstract = "We present GENTLE, a new mixed-genre English challenge corpus totaling 17K tokens and consisting of 8 unusual text types for out-of-domain evaluation: dictionary entries, esports commentaries, legal documents, medical notes, poetry, mathematical proofs, syllabuses, and threat letters. GENTLE is manually annotated for a variety of popular NLP tasks, including syntactic dependency parsing, entity recognition, coreference resolution, and discourse parsing. We evaluate state-of-the-art NLP systems on GENTLE and find severe degradation for at least some genres in their performance on all tasks, which indicates GENTLE{'}s utility as an evaluation dataset for NLP systems.",
}
@inproceedings{liu-zeldes-2023-gumsum,
    title = "{GUMS}um: Multi-Genre Data and Evaluation for {E}nglish Abstractive Summarization",
    author = "Liu, Yang Janet  and
      Zeldes, Amir",
    booktitle = "Findings of the Association for Computational Linguistics: ACL 2023",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.findings-acl.593",
    doi = "10.18653/v1/2023.findings-acl.593",
    pages = "9315--9327",
    abstract = "Automatic summarization with pre-trained language models has led to impressively fluent results, but is prone to {`}hallucinations{'}, low performance on non-news genres, and outputs which are not exactly summaries. Targeting ACL 2023{'}s {`}Reality Check{'} theme, we present GUMSum, a small but carefully crafted dataset of English summaries in 12 written and spoken genres for evaluation of abstractive summarization. Summaries are highly constrained, focusing on substitutive potential, factuality, and faithfulness. We present guidelines and evaluate human agreement as well as subjective judgments on recent system outputs, comparing general-domain untuned approaches, a fine-tuned one, and a prompt-based approach, to human performance. Results show that while GPT3 achieves impressive scores, it still underperforms humans, with varying quality across genres. Human judgments reveal different types of errors in supervised, prompted, and human-generated summaries, shedding light on the challenges of producing a good summary.",
}
@inproceedings{liu-zeldes-2023-cant,
    title = "Why Can{'}t Discourse Parsing Generalize? A Thorough Investigation of the Impact of Data Diversity",
    author = "Liu, Yang Janet  and
      Zeldes, Amir",
    booktitle = "Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics",
    month = may,
    year = "2023",
    address = "Dubrovnik, Croatia",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.eacl-main.227",
    pages = "3112--3130",
    abstract = "Recent advances in discourse parsing performance create the impression that, as in other NLP tasks, performance for high-resource languages such as English is finally becoming reliable. In this paper we demonstrate that this is not the case, and thoroughly investigate the impact of data diversity on RST parsing stability. We show that state-of-the-art architectures trained on the standard English newswire benchmark do not generalize well, even within the news domain. Using the two largest RST corpora of English with text from multiple genres, we quantify the impact of genre diversity in training data for achieving generalization to text types unseen during training. Our results show that a heterogeneous training regime is critical for stable and generalizable models, across parser architectures. We also provide error analyses of model outputs and out-of-domain performance. To our knowledge, this study is the first to fully evaluate cross-corpus RST parsing generalizability on complete trees, examine between-genre degradation within an RST corpus, and investigate the impact of genre diversity in training data composition.",
}
@inproceedings{lin-2022-leveraging,
    title = "Leveraging World Knowledge in Implicit Hate Speech Detection",
    author = "Lin, Jessica",
    editor = "Biester, Laura  and
      Demszky, Dorottya  and
      Jin, Zhijing  and
      Sachan, Mrinmaya  and
      Tetreault, Joel  and
      Wilson, Steven  and
      Xiao, Lu  and
      Zhao, Jieyu",
    booktitle = "Proceedings of the Second Workshop on NLP for Positive Impact (NLP4PI)",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, United Arab Emirates (Hybrid)",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.nlp4pi-1.4",
    doi = "10.18653/v1/2022.nlp4pi-1.4",
    pages = "31--39",
    abstract = "While much attention has been paid to identifying explicit hate speech, implicit hateful expressions that are disguised in coded or indirect language are pervasive and remain a major challenge for existing hate speech detection systems. This paper presents the first attempt to apply Entity Linking (EL) techniques to both explicit and implicit hate speech detection, where we show that such real world knowledge about entity mentions in a text does help models better detect hate speech, and the benefit of adding it into the model is more pronounced when explicit entity triggers (e.g., rally, KKK) are present. We also discuss cases where real world knowledge does not add value to hate speech detection, which provides more insights into understanding and modeling the subtleties of hate speech.",
}
@inproceedings{zeldes-etal-2022-second,
    title = "A Second Wave of {UD} {H}ebrew Treebanking and Cross-Domain Parsing",
    author = "Zeldes, Amir  and
      Howell, Nick  and
      Ordan, Noam  and
      Ben Moshe, Yifat",
    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, United Arab Emirates",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.emnlp-main.292",
    pages = "4331--4344",
    abstract = "Foundational Hebrew NLP tasks such as segmentation, tagging and parsing, have relied to date on various versions of the Hebrew Treebank (HTB, Sima{'}an et al. 2001). However, the data in HTB, a single-source newswire corpus, is now over 30 years old, and does not cover many aspects of contemporary Hebrew on the web. This paper presents a new, freely available UD treebank of Hebrew stratified from a range of topics selected from Hebrew Wikipedia. In addition to introducing the corpus and evaluating the quality of its annotations, we deploy automatic validation tools based on grew (Guillaume, 2021), and conduct the first cross domain parsing experiments in Hebrew. We obtain new state-of-the-art (SOTA) results on UD NLP tasks, using a combination of the latest language modelling and some incremental improvements to existing transformer based approaches. We also release a new version of the UD HTB matching annotation scheme updates from our new corpus.",
}	
@inproceedings{peng-etal-2022-gcdt,
    title = "{GCDT}: A {C}hinese {RST} Treebank for Multigenre and Multilingual Discourse Parsing",
    author = "Peng, Siyao  and
      Liu, Yang Janet  and
      Zeldes, Amir",
    booktitle = "Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)",
    month = nov,
    year = "2022",
    address = "Online only",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.aacl-short.47",
    pages = "382--391",
    abstract = "A lack of large-scale human-annotated data has hampered the hierarchical discourse parsing of Chinese. In this paper, we present GCDT, the largest hierarchical discourse treebank for Mandarin Chinese in the framework of Rhetorical Structure Theory (RST). GCDT covers over 60K tokens across five genres of freely available text, using the same relation inventory as contemporary RST treebanks for English. We also report on this dataset{'}s parsing experiments, including state-of-the-art (SOTA) scores for Chinese RST parsing and RST parsing on the English GUM dataset, using cross-lingual training in Chinese and English with multilingual embeddings.",
}					 
@inproceedings{zabokrtsky-etal-2022-findings,
    title = "Findings of the Shared Task on Multilingual Coreference Resolution",
    author = "\v{Z}abokrtsk\'{y}, Zden\'{e}k  and
      Konop\'{i}k, Miloslav  and
      Nedoluzhko, Anna  and
      Nov\'{a}k, Michal  and
      Ogrodniczuk, Maciej  and
      Popel, Martin  and
      Pra\v{z}\'{a}k, Ond\v{r}ej  and
      Sido, Jakub  and
      Zeman, Daniel  and
      Zhu, Yilun",
    booktitle = "Proceedings of the CRAC 2022 Shared Task on Multilingual Coreference Resolution",
    month = oct,
    year = "2022",
    address = "Gyeongju, Republic of Korea",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.crac-mcr.1",
    pages = "1--17",
    abstract = "This paper presents an overview of the shared task on multilingual coreference resolution associated with the CRAC 2022 workshop. Shared task participants were supposed to develop trainable systems capable of identifying mentions and clustering them according to identity coreference. The public edition of CorefUD 1.0, which contains 13 datasets for 10 languages, was used as the source of training and evaluation data. The CoNLL score used in previous coreference-oriented shared tasks was used as the main evaluation metric. There were 8 coreference prediction systems submitted by 5 participating teams; in addition, there was a competitive Transformer-based baseline system provided by the organizers at the beginning of the shared task. The winner system outperformed the baseline by 12 percentage points (in terms of the CoNLL scores averaged across all datasets for individual languages).",
}
@inproceedings{levine-2022-sharing,
    title = "Sharing Data by Language Family: Data Augmentation for {R}omance Language Morpheme Segmentation",
    author = "Levine, Lauren",
    booktitle = "Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology",
    month = jul,
    year = "2022",
    address = "Seattle, Washington",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.sigmorphon-1.12",
    pages = "117--123",
    abstract = "This paper presents a basic character level sequence-to-sequence approach to morpheme segmentation for the following Romance languages: French, Italian, and Spanish. We experiment with adding a small set of additional linguistic features, as well as with sharing training data between sister languages for morphological categories with low performance in single language base models. We find that while the additional linguistic features were generally not helpful in this instance, data augmentation between sister languages did help to raise the scores of some individual morphological categories, but did not consistently result in an overall improvement when considering the aggregate of the categories.",
}								 
@inproceedings{nedoluzhko-et-al-2022-corefud,
	address = {Marseille, France},
	title = {{CorefUD} 1.0: Coreference Meets {U}niversal {D}ependencies},
	url = {https://aclanthology.org/2022.lrec-1.520/},
	abstract = {Recent advances in standardization for annotated language resources have led to successful large scale efforts, such as the Universal Dependencies (UD) project for multilingual syntactically annotated data. By comparison, the important task of coreference resolution, which clusters multiple mentions of entities in a text, has yet to be standardized in terms of data formats or annotation guidelines. In this paper we present CorefUD, a multilingual collection of corpora and a standardized format for coreference resolution, compatible with morphosyntactic annotations in the UD framework and including facilities for related tasks such as named entity recognition, which forms a first step in the direction of convergence for coreference resolution across languages.},
	booktitle = {Proceedings of {LREC2022}},
	publisher = {European Language Resources Association},
	author = {Nedoluzhko, Anna and Nov\'{a}k, Michal and Popel, Martin and \v{Z}abokrtsk\'{y}, Zden\v{e}k and Zeldes, Amir and Zeman, Daniel },
	month = jun,
	year = {2022},
	pages = {4859--4872},
}
@inproceedings{gessler_midas_2022,
	address = {Marseille, France},
	title = {Midas {Loop}: {A} {Prioritized} {Human}-in-the-{Loop} {Annotation} for {Large} {Scale} {Multilayer} {Data}},
	url = {https://aclanthology.org/2022.lawxvi-1.13},
	abstract = {Large scale annotation of rich multilayer corpus data is expensive and time consuming, motivating approaches that integrate high quality automatic tools with active learning in order to prioritize human labeling of hard cases. A related challenge in such scenarios is the concurrent management of automatically annotated data and human annotated data, particularly where different subsets of the data have been corrected for different types of annotation and with different levels of confidence. In this paper we present Midas Loop, a collaborative, version-controlled online annotation environment for multilayer corpus data which includes integrated provenance and confidence metadata for each piece of information at the document, sentence, token and annotation level. We present a case study on improving annotation quality in an existing multilayer parse bank of English called AMALGUM, focusing on active learning in corpus preprocessing, at the surprisingly challenging level of sentence segmentation. Our results show improvements to state-of-the-art sentence segmentation and a promising workflow for getting "silver" data to approach gold standard quality.},
	booktitle = {Proceedings of {The} 16th {Lingusitic} {Annotation} {Workshop} ({LAW}-{XVI}) within {LREC2022}},
	publisher = {European Language Resources Association},
	author = {Gessler, Luke and Levine, Lauren and Zeldes, Amir},
	month = jun,
	year = {2022},
	pages = {103--110},
}
@inproceedings{gessler-zeldes-2022-microbert,
    title = "{M}icro{BERT}: Effective Training of Low-resource Monolingual {BERT}s through Parameter Reduction and Multitask Learning",
    author = "Gessler, Luke  and
      Zeldes, Amir",
    editor = {Ataman, Duygu  and
      Gonen, Hila  and
      Ruder, Sebastian  and
      Firat, Orhan  and
      G{\"u}l Sahin, G{\"o}zde  and
      Mirzakhalov, Jamshidbek},
    booktitle = "Proceedings of the 2nd Workshop on Multi-lingual Representation Learning (MRL)",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, United Arab Emirates (Hybrid)",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.mrl-1.9",
    doi = "10.18653/v1/2022.mrl-1.9",
    pages = "86--99",
    abstract = "BERT-style contextualized word embedding models are critical for good performance in most NLP tasks, but they are data-hungry and therefore difficult to train for low-resource languages. In this work, we investigate whether a combination of greatly reduced model size and two linguistically rich auxiliary pretraining tasks (part-of-speech tagging and dependency parsing) can help produce better BERTs in a low-resource setting. Results from 7 diverse languages indicate that our model, MicroBERT, is able to produce marked improvements in downstream task evaluations, including gains up to 18{\%} for parser LAS and 11{\%} for NER F1 compared to an mBERT baseline, and we achieve these results with less than 1{\%} of the parameter count of a multilingual BERT base{--}sized model. We conclude that training very small BERTs and leveraging any available labeled data for multitask learning during pretraining can produce models which outperform both their multilingual counterparts and traditional fixed embeddings for low-resource languages.",
}
@inproceedings{lin-zeldes-2021-wikigum,
    title = {{W}iki{GUM}: Exhaustive Entity Linking for Wikification in 12 Genres},
    author = {Jessica Lin and Amir Zeldes},
    booktitle = {Proceedings of The Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop (LAW-DMR 2021)},
    month = nov,
    year = {2021},
    address = {Punta Cana, Dominican Republic},
    url = {https://aclanthology.org/2021.law-1.18},
    pages = {170--175},
    comment = {paper}
}
@InProceedings{ZeldesEtAl2021,
  author    = {Amir Zeldes and Yang Janet Liu and Mikel Iruskieta and Philippe Muller and Chlo\'{e} Braud and Sonia Badene},
  booktitle = "Proceedings of the 2nd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2021)",
  title     = {The {DISRPT} 2021 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification},
  year      = {2021},
  address   = {Punta Cana, Dominican Republic},
  pages     = {1--12},
  url = {https://aclanthology.org/2021.disrpt-1.1},
  comment = {paper}
}
@inproceedings{gessler-etal-2021-discodisco,
    title = "{D}is{C}o{D}is{C}o at the {DISRPT}2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective Detection",
    author = "Gessler, Luke and
      Behzad, Shabnam  and
      Liu, Yang Janet  and
      Peng, Siyao  and
      Zhu, Yilun  and
      Zeldes, Amir",
    booktitle = "Proceedings of the 2nd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2021)",
    month = nov,
    year = "2021",
    address = "Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.disrpt-1.6",
    pages = "51--62",
    comment = {paper}
}
@inproceedings{zhu-etal-2021-anatomy,
    title = {Anatomy of {O}nto{GUM}{---}{A}dapting {GUM} to the {O}nto{N}otes Scheme to Evaluate Robustness of {SOTA} Coreference Algorithms},
    author = {Yilun Zhu and Sameer Pradhan and Amir Zeldes},
    booktitle = {Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC 2021)},
    month = nov,
    year = {2021},
    address = {Punta Cana, Dominican Republic},
    url = {https://aclanthology.org/2021.crac-1.15},
    pages = {141--149},
    comment = {paper}
}										
@InProceedings{ZhuEtAl2021,
  author    = {Yilun Zhu and Sameer Pradhan and Amir Zeldes},
  booktitle = {Proceedings of ACL-IJCNLP 2021},
  title     = {{OntoGUM}: Evaluating Contextualized {SOTA} Coreference Resolution on 12 More Genres},
  year      = {2021},
  address   = {Bangkok, Thailand},
  pages     = {461--467},
  url       = {https://aclanthology.org/2021.acl-short.59.pdf},
  comment = {paper}
}
@InProceedings{ManningEtAl2021,
  author    = {Emma Manning and Nathan Schneider and Amir Zeldes},
  booktitle = {Fifth Workshop on Teaching NLP at NAACL 2021},
  title     = {A Balanced and Broadly Targeted Computational Linguistics Curriculum},
  year      = {2021},
  address   = {Mexico City, Mexico},
  pages     = {65--69},
  url       = {https://www.aclweb.org/anthology/2021.teachingnlp-1.11/},
  comment = {paper}
}
@InProceedings{GesslerEtAl2021,
  author    = {Luke Gessler and Siyao Peng and Yang Liu and Yilun Zhu and Shabnam Behzad and Amir Zeldes},
  booktitle = {Proceedings of the Society for Computation in Linguistics (SCiL), Vol. 4},
  title     = {Overview of {AMALGUM} -- Large Silver Quality Annotations across {E}nglish Genres},
  year      = {2021},
  address   = {online},
  pages     = {434--437},
  url       = {https://scholarworks.umass.edu/scil/vol4/iss1/53/},
  comment = {paper}
}
@InProceedings{ZeldesMartinTu2020,
  author    = {Amir Zeldes and Lance Martin and Sichang Tu},
  booktitle = {Proceedings of the SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2020)},
  title     = {Exhaustive Entity Recognition for {C}optic: Challenges And Solutions},
  year      = {2020},
  address   = {Barcelona, Spain},
  pages     = {19--28},
  url       = {https://www.aclweb.org/anthology/2020.latechclfl-1.3.pdf},
  comment = {paper}
}
@Article{ZeldesLiu2020,
  author  = {Amir Zeldes and Yang Liu},
  journal = {Dialogue and Discourse},
  title   = {A Neural Approach to Discourse Relation Signal Detection},
  year    = {2020},
  number  = {2},
  pages   = {1-33},
  volume  = {11},
  comment = {paper},
  url     = {https://journals.uic.edu/ojs/index.php/dad/article/view/11372/9733},
}
@InProceedings{GesslerEtAl2020,
  author    = {Luke Gessler and Siyao Peng and Yang Liu and Yilun Zhu and Shabnam Behzad and Amir Zeldes},
  booktitle = {Proceedings of LREC 2020},
  title     = {{AMALGUM} - A Free, Balanced, Multilayer {E}nglish Web Corpus},
  year      = {2020},
  address   = {Marseille, France},
  pages     = {5267--5275},
  comment = {paper},
  url       = {https://www.aclweb.org/anthology/2020.lrec-1.648.pdf},
}
@Article{SchroederZeldes2020,
  author  = {Caroline T. Schroeder and Amir Zeldes},
  journal = {Journal of Data Mining and Digital Humanities. Special Issue on Collecting, Preserving, and Disseminating Endangered Cultural Heritage for New Understandings through Multilingual Approaches},
  title   = {A Collaborative Ecosystem for Digital {C}optic Studies},
  year    = {2020},
  pages   = {1--9},
  comment = {paper},
  url     = {https://jdmdh.episciences.org/6797/pdf},
}
@InProceedings{SanguinettiBoscoCassidyEtAl2020,
  author    = {Manuela Sanguinetti and Cristina Bosco and Lauren Cassidy and \"{O}zlem Çetinoǧlu and Alessandra Teresa Cignarella and Teresa Lynn and Ines Rehbein and Josef Ruppenhofer and Djam\'{e} Seddah and Amir Zeldes},
  booktitle = {Proceedings of LREC 2020},
  title     = {Treebanking User-Generated Content: A Proposal for a Unified Representation in {U}niversal {D}ependencies},
  year      = {2020},
  address   = {Marseille, France},
  pages     = {5240--5250},
  comment = {paper},
  url       = {https://www.aclweb.org/anthology/2020.lrec-1.645.pdf},
}
@inproceedings{behzad-zeldes-2020-cross,
    title = "A Cross-Genre Ensemble Approach to Robust {R}eddit Part of Speech Tagging",
    author = "Shabnam Behzad and
      Amir Zeldes",
    booktitle = "Proceedings of the 12th Web as Corpus Workshop",
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://www.aclweb.org/anthology/2020.wac-1.7",
    pages = "50--56",
    language = "English",
    ISBN = "979-10-95546-68-9",
    comment = {paper}
}
@InProceedings{YuZhuLiuEtAl2019,
  author    = {Yue Yu and Yilun Zhu and Yang Liu and Yan Liu and Siyao Peng and Mackenzie Gong and Amir Zeldes},
  title     = {GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection},
  booktitle = {Proceedings of Discourse Relation Treebanking and Parsing (DISRPT 2019)},
  year      = {2019},
  pages     = {133--143},
  address   = {Minneapolis, MN},
  url = {https://www.aclweb.org/anthology/W19-2717},
  comment = {paper}
}

@InProceedings{ZeldesDasMazieroEtAl2019,
  author    = {Amir Zeldes and Debopam Das and Erick Galani Maziero and Juliano Desiderato Antonio and Mikel Iruskieta},
  title     = {{The DISRPT 2019 Shared Task} on Elementary Discourse Unit Segmentation and Connective Detection},
  booktitle = {Proceedings of Discourse Relation Treebanking and Parsing (DISRPT 2019)},
  year      = {2019},
  address   = {Minneapolis, MN},
  pages = {97--104},
  url = {https://www.aclweb.org/anthology/W19-2713},
  comment = {paper}
}

@InProceedings{GesslerLiuZeldes2019Signals,
  author    = {Luke Gessler and Yang Liu and Amir Zeldes},
  title     = {A Discourse Signal Annotation System for RST Trees},
  year      = {2019},
  booktitle = {Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019},
  address   = {Minneapolis, MN},
  url = {https://aclweb.org/anthology/papers/W/W19/W19-2708/},
  pages = {56--61},
  comment = {paper}
}

@article{liu2019discourse,
  title={Discourse Relations and Signaling Information: Anchoring Discourse Signals in RST-DT},
  author={Yang Liu and Amir Zeldes},
  journal={Proceedings of the Society for Computation in Linguistics},
  volume={2},
  number={1},
  pages={314--317},
  year={2019}
}

@InProceedings{Gessler2019computel,
 title={{Developing without developers: choosing labor-saving tools for language documentation apps}},
  author={Luke Gessler},
  journal={{Proceedings of the 3rd Workshop on the Use of Computational Methods in the Study of Endangered Languages}},
  volume={1},
  pages={6--13},
  year={2019},
  url={https://computel-workshop.org/wp-content/uploads/2019/02/CEL3_book_papers_draft.pdf#page=18},
  comment={paper}
}

@InProceedings{ZeldesAbramsUDW2018,
  author    = {Amir Zeldes and Mitchell Abrams},
  title     = {The {C}optic Universal Dependency Treebank},
  year      = {2018},
  booktitle = {Proceedings of the Universal Dependencies Workshop 2018 (UDW 2018)},										
  address   = {Brussels, Belgium},
  url = {http://aclweb.org/anthology/W18-6022},
  pages = {192-201},
  comment = {paper}
}
@InProceedings{Zeldes2018SIGMORPHON,
  author    = {Amir Zeldes},
  title     = {A Characterwise Windowed Approach to {H}ebrew Morphological Segmentation},
  booktitle = {Proceedings of the 15th {SIGMORPHON} Workshop on Computational Research in Phonetics, Phonology, and Morphology},
  year      = {2018},
  address   = {Brussels, Belgium},
  pages = {101-110},
  url = {http://aclweb.org/anthology/W18-5811},
  comment = {paper}
}
@InProceedings{Zeldes2018AACL,
  author    = {Amir Zeldes},
  title     = {A Multi-Dimensional Analysis of {RST} Discourse Relations in Eight Genres},
  booktitle = {14th American Association of Corpus Linguistics Conference (AACL 2018)},
  year      = {2018},
  address   = {Atlanta, GA},
  url = {https://gucorpling.org/amir/pdf/AACL_2018_MD_RST.pdf},
  comment = {abstract}
}
@InProceedings{PengZeldes2018AACL,
  author    = {Siyao Peng and Amir Zeldes},
  title     = {Validating and Merging a Growing Multilayer Corpus – the Case of {GUM}},
  booktitle = {14th American Association of Corpus Linguistics Conference (AACL 2018)},
  year      = {2018},
  address   = {Atlanta, GA},
  url = {https://gucorpling.org/amir/pdf/AACL2018_gum_abstract.pdf},
  comment = {abstract}
}
@InProceedings{FederKupreyevManningEtAl2018,
  author    = {Frank Feder and Maxim Kupreyev and Emma Manning and Caroline T. Schroeder and Amir Zeldes},
  title     = {A Linked {C}optic Dictionary Online},
  booktitle = {Proceedings of LaTeCH 2018 - The 11th SIGHUM Workshop at COLING2018},
  year      = {2018},
  address   = {Santa Fe, NM},
  pages = {12-21},
  url = {http://aclweb.org/anthology/W18-4502},
  comment = {paper}
}
@InProceedings{PengZeldes2018COLING,
  author    = {Siyao Peng and Amir Zeldes},
  title     = {All Roads Lead to {UD}: Converting Stanford and Penn Parses to {E}nglish Universal Dependencies with Multilayer Annotations},
  booktitle = {{COLING} 2018 Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions ({LAW-MWE-CxG-2018})},
  year      = {2018},
  address   = {Santa Fe, NM},
  pages = {167-177},
  url = {http://aclweb.org/anthology/W18-4918},
  comment = {paper}
}
@InCollection{Zeldes2018SC,
  author    = {Amir Zeldes},
  title     = {Compounds and Productivity in Advanced {L2} {G}erman Writing: A Constructional Approach},
  booktitle = {Usage-inspired L2 Instruction: Researched Pedagogy},
  year      = {2018},
  editor    = {Lourdes Ortega and Andrea Tyler and Mariko Uno and Hae In Park},
  note      = {3},
  publisher = {John Benjamins},
  pages     = {237-265},
  url = {https://gucorpling.org/amir/pdf/Compounds_and_Productivity_Zeldes_revised.pdf},
  comment = {prepub version},
  doi = {https://doi.org/10.1075/lllt.49.11zel},
  address   = {Amsterdam}
 }
@InProceedings{Zeldes2018CRAC,
  author    = {Amir Zeldes},
  title     = {A Predictive Model for Notional Anaphora in {E}nglish},
  booktitle = {{NAACL} 2018 Workshop on Computational Models of Reference, Anaphora, and Coreference ({CRAC})},
  year      = {2018},
  address   = {New Orleans, LA},
  pages = {34-43},
  url = {http://aclweb.org/anthology/W18-0704},
  comment = {paper}
}
@InProceedings{MacAvaneyZeldes2018,
  author    = {Sean MacAvaney and Amir Zeldes},
  title     = {A Deeper Look into Dependency-Based Word Embeddings},
  booktitle = {NAACL 2018 Student Research Workshop},
  year      = {2018},
  pages = {40-45},
  url = {http://aclweb.org/anthology/N18-4006},
  address   = {New Orleans, LA}
}
@article{Simpson_etal,
  author={Sean Simpson and Nikki Adams and Claudia M. Brugman and Thomas J. Conners},
  title={Detecting Novel and Emerging Drug Terms Using Natural Language Processing: A Social Media Corpus Study},
  journal={Journal of Medical Internet Research: Public Health and Surveillance},
  year={2018},
  volume={4},
  number={1},
  pages={e2},
  url={http://publichealth.jmir.org/2018/1/e2/}
}
@InCollection{Simpson_2017,
  author = {Belew Anna and Sean Simpson},
  title = {{Language extinction then and now}},
  booktitle = {{Cataloguing the Endangered Languages of the World}},
  year = {2018},
  editor = {Lyle Campbell and Anna Belew},
  publisher = {Taylor and Francis},
  address={Abingdon}
}

@InCollection{Simpson_2017a,
  author = {Raina Heaton and Sean Simpson},
  title = {{How ELCat Serves Communities whose Languages are at Risk}},
  booktitle = {{Cataloguing the Endangered Languages of the World}},
  year = {2018},
  editor = {Lyle Campbell and John Van Way and Anna Belew},
  publisher = {Taylor and Francis},
  address={Abingdon}
}
@InCollection{Belew_2017,
  author = {Anna Belew and Sean Simpson},
  title = {{The Status of the World's Endangered Languages}},
  booktitle = {{The Oxford Handbook of Endangered Languages}},
  year = {2018},
  editor = {Lyle Campbell and Kenneth Regh},
  publisher = {Oxford University Press},
  address={Oxford}
}
@InProceedings{Zeldes2018GURT,
  author    = {Amir Zeldes},
  title     = {A Neural Approach to Discourse Relation Signaling},
  booktitle = {Georgetown University Round Table (GURT) 2018: Approaches to Discourse},
  year      = {2018},
  address   = {Washington, DC},
  url = {https://gucorpling.org/amir/pdf/neural_DR_abstract_GURT2018.pdf},
  comment = {abstract},
  url2 = {https://gucorpling.org/amir/pdf/RST_GURT2018_final.pdf},
  comment2 = {slides}
}

@InProceedings{Simpson2017,
  author = {Sean Simpson},
  title = {{Reconstructing Thread Structure For Reddit Comments}},
  journal = {{Mid-Atlantic Student Colloquium on Speech, Language and Learning (MASC-SLL)}},
  address = {{Washington, DC}},
  year = {2017}
}

@PhdThesis{Zhang2017,
  type = {PhD Thesis},
  title = {Mining Linguistic Tone Patterns Using Fundamental Frequency Time-Series Data},
  author = {Shuo Zhang},
  school = {Georgetown University},
  url = {https://repository.library.georgetown.edu/handle/10822/1047816},
  year = {2017}
}

@InProceedings{Zeldes2017a,
  author    = {Amir Zeldes},
  title     = {A Distributional View of Discourse Encapsulation: Multifactorial Prediction of Coreference Density in {RST}},
  booktitle = {6th Workshop on Recent Advances in RST and Related Formalisms at INLG},
  year      = {2017},
  pages     = {20-28},
  address   = {Santiago de Compostela, Spain},
  url = {http://aclweb.org/anthology/W17-3603},
  comment = {paper}
}
@InProceedings{ZhangZeldes2017,
  author    = {Shuo Zhang and Amir Zeldes},
  title     = {{GitDOX}: A Linked Version Controlled Online {XML} Editor for Manuscript Transcription},
  booktitle = {Proceedings of FLAIRS-30},
  year      = {2017},
  pages     = {619-623},
  address   = {Marco Island, FL},
  url = {https://gucorpling.org/amir/pdf/GitDOX_A_Linked_Version_Controlled_Online_XML_Editor_prepub.pdf},
  comment = {paper}
}
@Article{Zeldes2017b,
  author    = {Amir Zeldes},
  title     = {The {GUM} Corpus: Creating Multilayer Resources in the Classroom},
  journal   = {Language Resources and Evaluation},
  year      = {2017},
  volume    = {51},
  number    = {3},
  pages     = {581-612},
  url = {https://gucorpling.org/amir/pdf/GUM_paper_prepub.pdf},
  comment = {prepub version},
  doi = {http://dx.doi.org/10.1007/s10579-016-9343-x},
  url2 = {http://rdcu.be/uONb},
  comment2 = {read online}
}
@Article{GaetaZeldes2017,
  author    = {Livio Gaeta and Amir Zeldes},
  title     = {Between {VP} and {NN}: On the Constructional Types of German -er Compounds},
  journal   = {Constructions and Frames},
  year      = {2017},
  volume    = {9},
  number    = {1},
  url = {https://gucorpling.org/amir/pdf/Between_VP_and_NN_prepub.pdf},
  comment = {prepub version},
  doi = {https://doi.org/10.1075/cf.9.1.01gae}
}
@PhdThesis{simonsondiss17,
    title={Investigations of the Properties of Narrative Schemas},
    author={Dan Simonson},
	type={PhD Thesis},
    year={2017},
    school={Georgetown University}
}
@Article{SpalekZeldes2017,
  author    = {Katharina Spalek and Amir Zeldes},
  title     = {Converging Evidence for the Relevance of Alternative Sets: Data from {NP}s with Focus Sensitive Particles in {G}erman},
  journal   = {Language and Cognition},
  year      = {2017},
  volume    = {9},
  number    = {1},
  pages     = {24-51},
  doi = {http://dx.doi.org/10.1017/langcog.2015.12},
  url = {https://gucorpling.org/amir/pdf/alternatives_prepub.pdf},
  comment = {prepub version}
}
@InProceedings{RankLyricsPoster,
  author = {Shuo Zhang},
  title = {Rank{L}yrics: A ranking-based approach to automatic song lyrics generation},
  year = {2017},
  booktitle = {6th Mid-Atlantic Student Colloquium on Speech, Language, and Learning}, 
  address= {George Washington University, Washington DC}
}
@Article{OdebrechtEtAl2017,
  author    = {Carolin Odebrecht and Malte Belz and Amir Zeldes and Anke L\"{u}deling},
  title     = {{RIDGES} Herbology - Designing a Diachronic Multi-Layer Corpus},
  journal   = {Language Resources and Evaluation},
  year      = {2017},
  volume    = {51},
  number    = {3},
  pages     = {695-725},
  doi       = {10.1007/s10579-016-9374-3},
  url = {https://gucorpling.org/corpling/dx.doi.org/10.1007/s10579-016-9374-3},
  comment = {prepub version},
  url2 = {http://www.readcube.com/articles/10.1007/s10579-016-9374-3},
  comment2 = {read online}
}
@InProceedings{ZeldesSimonson2016,
  author    = {Amir Zeldes and Dan Simonson},
  title     = {Different Flavors of {GUM}: Evaluating Genre and Sentence Type Effects on Multilayer Corpus Annotation Quality},
  booktitle = {Proceedings of LAW X – The 10th Linguistic Annotation Workshop},
  year      = {2016},
  pages     = {68-78},
  address   = {Berlin},
  url = {https://aclweb.org/anthology/W/W16/W16-1709.pdf},
  comment = {paper}
}
@article{Kirtley_etal,
  author = {Joelle Kirtley and Katie Drager and James Grama and Sean Simpson},
  title = {An acoustic analysis of the vowels of Hawai‘i English},
  journal = {Journal of the International Phonetic Association},
  volume = {46},
  number = {1},
  pages={79-97},
  year = {2016},
  url = {https://www.cambridge.org/core/journals/journal-of-the-international-phonetic-association/article/div-classtitlean-acoustic-analysis-of-the-vowels-of-hawaii-englishdiv/3738B709E9967BA01B873DACF6FD7086}
}
@InProceedings{ZeldesSchroeder2016,
  author    = {Amir Zeldes and Caroline T. Schroeder},
  title     = {An {NLP} Pipeline for {C}optic},
  booktitle = {Proceedings of the 10th ACL SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH2016)},
  year      = {2016},
  pages     = {146-155},
  address   = {Berlin},
  url = {http://aclweb.org/anthology/W/W16/W16-2119.pdf},
  comment = {paper}
}
@InProceedings{Zeldes2016b,
  author    = {Amir Zeldes},
  title     = {{rstWeb} - A Browser-based Annotation Interface for Rhetorical Structure Theory and Discourse Relations},
  booktitle = {Proceedings of NAACL-HLT 2016 System Demonstrations},
  year      = {2016},
  pages     = {1-5},
  address   = {San Diego, CA},
  url = {http://aclweb.org/anthology/N/N16/N16-3001.pdf},
  comment = {paper}
}
@InProceedings{ZeldesZhang2016,
  author    = {Amir Zeldes and Shuo Zhang},
  title     = {When Annotation Schemes Change Rules Help: A Configurable Approach to Coreference Resolution beyond {OntoNotes}},
  booktitle = {Proceedings of the NAACL2016 Workshop on Coreference Resolution Beyond OntoNotes (CORBON)},
  year      = {2016},
  pages     = {92-101},
  address   = {San Diego, CA},
  url = {http://aclweb.org/anthology/W/W16/W16-0713.pdf},
  comment = {paper}
}
@InProceedings{Zeldes2016d,
  author    = {Amir Zeldes},
  title     = {A Quantitative Approach to Syntactic Alternations in {S}ahidic},
  booktitle = {11th Congress of the International Association of Coptic Studies (IACS 2016)},
  year      = {2016},
  address   = {Claremont, CA}
}
@InProceedings{W16-2001,
  author = {Shuo Zhang},
  title = {Mining Linguistic Tone Patterns with Symbolic Representation},
  booktitle = {Proceedings of the 14th {SIGMORPHON} Workshop on Computational Research in Phonetics, Phonology, and Morphology},
  year = {2016},
  pages = {1-9},
  address = {Berlin, Germany},
  doi = {https://doi.org/10.18653/v1/W16-2001},
  url = {http://www.aclweb.org/anthology/W16-2001}
}
@InProceedings{simonsondavis2016,
  author    = {Dan Simonson and Anthony Davis},
  title     = {{NASTEA}: Investigating Narrative Schemas through Annotated Entities},
  booktitle = {{Proceedings of the Second Workshop on Computing News Storylines (CNS 2016)
                at EMNLP 2016}},
  year      = {2016},
  address   = {Austin, Texas},
  pages     = {57-66},
  url       = {http://aclweb.org/anthology/W16-5707}
}
@Article{SchroederZeldes2015,
  author    = {Caroline T. Schroeder and Amir Zeldes},
  title     = {Raiders of the Lost Corpus},
  journal   = {Digital Humanities Quarterly},
  year      = {2016},
  volume    = {10},
  number    = {2},
  url       = {http://digitalhumanities.org/dhq/vol/10/2/000247/000247.html},
}
@Article{Zeldes2016c,
  author    = {Amir Zeldes},
  title     = {Probabilistic Pragmatics and Probabilistic Experience},
  journal   = {Zeitschrift f\"{u}r Sprachwissenschaft},
  year      = {2016},
  volume    = {35},
  number    = {1},
  pages     = {109-116},
  doi       = {http://dx.doi.org/10.1515/zfs-2016-0008},
  url = {https://gucorpling.org/amir/pdf/prob_prag_zeldes_2016.pdf},
  comment = {prepub version}
}
@Article{KrauseZeldes2014,
  title                    = {{ANNIS3}: A New Architecture for Generic Corpus Query and Visualization},
  author                   = {Thomas Krause and Amir Zeldes},
  journal                  = {Digital Scholarship in the Humanities},
  voume = {31},
  number = {1},
  pages={118-139},
  year                     = {2016},
  note                     = {2},
  doi                      = {http://dx.doi.org/10.1093/llc/fqu057},
  url                      = {https://gucorpling.org/amir/pdf/ANNIS3_DSH_prepub.pdf},
  comment = {prepub version}
}
@TechReport{ZeldesSchroeder2013,
  title                    = {SCRIPTORIUM Part-of-Speech Tagsets for {S}ahidic {C}optic. Version: 1.2.0_2018.07.03},
  author                   = {Amir Zeldes and Caroline T. Schroeder},
  address              = {Georgetown University and University of the Pacific},
  year                     = {2018},
  note                     = {9},
  url                      = {https://github.com/CopticScriptorium/tagger-part-of-speech/raw/master/scriptorium_tagset_documentation.pdf}
}
@TechReport{ZeldesUDCoptic2016,
  author                   = {Amir Zeldes},
 title = {{C}optic Universal Dependency Guidelines. Version 1.1.0-2016-10-19},
 address= {Georgetown University},
 url = {https://github.com/CopticScriptorium/corpora/raw/master/coptic-treebank/Coptic_universal_dependencies_guidelines.pdf}
}
@InCollection{LuedelingRitzStedeEtAl2016,
  author    = {Anke L\"{u}deling and Julia Ritz and Manfred Stede and Amir Zeldes},
  title     = {Corpus Linguistics and Information Structure Research},
  booktitle = {The Oxford Handbook of Information Structure},
  year      = {2016},
  editor    = {Caroline F\'{e}ry and Shinichiro Ichihara},
  note      = {3},
  publisher = {Oxford University Press},
  pages     = {599-617},
  doi = {https://dx.doi.org/10.1093/oxfordhb/9780199642670.013.013},
  address   = {Oxford}
 }
 @TechReport{CASL_tech_2015,
  author = {Thomas J. Conners and Claudia M. Brugman and Paul Rodrigues and Sean Simpson},
  title = {{Summary of register properties from a corpus of Jakarta Indonesian Twitter}},
  journal = {{Center for Advanced Study of Language}},
  address = {{University of Maryland}},
  year = {2015}
}
@Article{LeeEtAl2015,
  title                    = {{CityU} Corpus of Essay Drafts of {E}nglish Language Learners: A Corpus of Textual Revision in Second Language Writing},
  author                   = {John Lee and Chak Yan Yeung and Amir Zeldes and Marc Reznicek and Anke Lüdeling and Jonathan Webster},
  journal                  = {Language Resources and Evaluation},
  year                     = {2015},
  note                     = {2},
  number                   = {3},
  pages                    = {659-683},
  volume                   = {49},
  doi                      = {http://link.springer.com/article/10.1007/s10579-015-9301-z},
  url                      = {https://gucorpling.org/amir/pdf/annis_cityu_prepub.pdf},
  comment = {prepub version}
}
@inproceedings{simonsondavis2015,
  title={Interactions between Narrative Schemas and Document Categories},
  author={Dan Simonson and Anthony Davis},
  booktitle={{Proceedings of the First Computing News Storylines Workshop (CnewS) at ACL-IJCNLP 2015}},
  pages={1-10},
  year={2015},
  url={http://www.aclweb.org/anthology/W15-4501}
}
@InProceedings{SPMPoster,
  author = {Shuo Zhang},
  title = {Analyze Linguistic Tone Patterns Using Time-Series Data Mining Techniques},
  year = {2015},
  booktitle = {15th Workshop on Computational Phonology and Morphology ({CompMorPhon15})},
  address= {Chicago}
}
@Article{ZeldesSchroeder2015,
  title                    = {Computational Methods for Coptic: Developing and Using Part-of-Speech Tagging for Digital Scholarship in the Humanities},
  author                   = {Amir Zeldes and Caroline T. Schroeder},
  journal                  = {Digital Scholarship in the Humanities},
  year                     = {2015},
  note                     = {2},
  number                   = {1},
  pages                    = {164-176},
  volume                   = {31},
  url                      = {https://gucorpling.org/amir/pdf/Computational_Methods_for_Coptic_prepub.pdf},
  doi = {http://dx.doi.org/10.1093/llc/fqv057},
  comment = {prepub version}
}
@Article{RomaryZeldesZipserer2015,
  title                    = {&lt;tiger2/&gt; - Serialising the ISO SynAF Syntactic Object Model},
  author                   = {Laurent Romary and Amir Zeldes and Florian Zipser},
  journal                  = {Language Resources and Evaluation},
  year                     = {2015},
  note                     = {2},
  pages                    = {1-18},
  volume                   = {49},
  doi                      = {http://dx.doi.org/10.1007/s10579-014-9288-x}
}
@InCollection{PetrovaZeldes2015,
  title                    = {How exceptional is CP recursion in Germanic OV languages? Corpus-based evidence from Middle Low German},
  author                   = {Svetlana Petrova and Amir Zeldes},
  booktitle                = {Historical Corpora: Challenges and Perspectives},
  publisher                = {Narr},
  year                     = {2015},
  address                  = {Tübingen},
  editor                   = {Jost Gippert and Ralf Gehrke},
  note                     = {3},
  pages                    = {151-164},
  series                   = {Korpuslinguistik und interdisziplinäre Perspektiven auf Sprache 5},
  url                      = {https://books.google.com/books?id=7anlBgAAQBAJ&lpg=PP1&pg=PA151#v=onepage&q&f=false},
  comment = {Google Books}
}
@InProceedings{Zeldes2015a,
  title                    = {Duplicitous Diabolos: Parallel Witness Encoding in Quantitative Studies of Coptic Manuscripts},
  author                   = {Amir Zeldes},
  booktitle                = {Proceedings of Balisage, Symposium on Cultural Heritage Markup. Balisage Series on Markup Technologies, vol. 16},
  year                     = {2015},
  address                  = {Washington, DC},
  note                     = {4},
  url                      = {http://www.balisage.net/Proceedings/vol16/print/Zeldes01/BalisageVol16-Zeldes01.html},
  comment = {link}
}
@InProceedings{Zeldes2015,
  title                    = {Tagging the Desert Fathers: Part of Speech Analysis in Sahidic Coptic Corpora},
  author                   = {Amir Zeldes},
  booktitle                = {43rd Annual North American Conference on Afroasiatic Linguistics (NACAL2015), 13-15.2.2015},
  year                     = {2015},
  address                  = {Washington, DC},
  note                     = {4},
}

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