@article{tremper-frank-2013-discriminative,
    title = "A Discriminative Analysis of Fine-Grained Semantic Relations including Presupposition: Annotation and Classification",
    author = "Tremper, Galina  and
      Frank, Anette",
    editor = "Fern{\'a}ndez, Raquel  and
      Dipper, Stefanie  and
      Zinsmeister, Heike  and
      Webber, Bonnie",
    journal = "Dialogue {\&} Discourse",
    volume = "4",
    year = "2013",
    url = "https://preview.aclanthology.org/ingest-dnd/2013.dnd-4.4/",
    doi = "10.5087/dad.2013.212",
    pages = "282--322",
    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."
}