@inproceedings{friedrich-gateva-2017-classification,
    title = "Classification of telicity using cross-linguistic annotation projection",
    author = "Friedrich, Annemarie  and
      Gateva, Damyana",
    editor = "Palmer, Martha  and
      Hwa, Rebecca  and
      Riedel, Sebastian",
    booktitle = "Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing",
    month = sep,
    year = "2017",
    address = "Copenhagen, Denmark",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/D17-1271/",
    doi = "10.18653/v1/D17-1271",
    pages = "2559--2565",
    abstract = "This paper addresses the automatic recognition of telicity, an aspectual notion. A telic event includes a natural endpoint ({``}she walked home''), while an atelic event does not ({``}she walked around''). Recognizing this difference is a prerequisite for temporal natural language understanding. In English, this classification task is difficult, as telicity is a covert linguistic category. In contrast, in Slavic languages, aspect is part of a verb{'}s meaning and even available in machine-readable dictionaries. Our contributions are as follows. We successfully leverage additional silver standard training data in the form of projected annotations from parallel English-Czech data as well as context information, improving automatic telicity classification for English significantly compared to previous work. We also create a new data set of English texts manually annotated with telicity."
}