@article{Tremper-Frank-2013.212,
 abstract = {In contrast to classical lexical semantic relations between verbs, such as antonymy, synonymy or hypernymy, presupposition is a lexically triggered semantic relation that is not well covered in existing lexical resources. It is also understudied in the field of corpus-based methods of learning semantic relations. Yet, presupposition is very important for semantic and discourse analysis tasks, given the implicit information that it conveys. In this paper we present a corpus-based method for acquiring presupposition-triggering verbs along with verbal relata that express their presupposed meaning. We approach this difficult task using a discriminative classification method that jointly determines and distinguishes a broader set of inferential semantic relations between verbs.
The present paper focuses on important methodological aspects of our work: (i) a discriminative analysis of the semantic properties of the chosen set of relations, (ii) the selection of features for corpus-based classification and (iii) design decisions for the manual annotation of fine-grained semantic relations between verbs. (iv) We present the results of a practical annotation effort leading to a gold standard resource for our relation inventory, and (v) we report results for automatic classification of our target set of fine-grained semantic relations, including presupposition. We achieve a classification performance of 55\% F1-score, a 100\% improvement over a best-feature baseline.},
 author = {Galina Tremper and Anette Frank},
 day = {19},
 doi = {10.5087/dad.2013.212},
 issue = {2},
 journal = {Dialogue \& Discourse},
 month = {07},
 pages = {282--322},
 title = {A Discriminative Analysis of Fine-Grained Semantic Relations including Presupposition: Annotation and Classification},
 url = {https://journals.uic.edu/ojs/index.php/dad/article/view/10776},
 volume = {4},
 year = {2013}
}
