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        <title>Classification of telicity using cross-linguistic annotation projection</title>
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    <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.</abstract>
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%0 Conference Proceedings
%T Classification of telicity using cross-linguistic annotation projection
%A Friedrich, Annemarie
%A Gateva, Damyana
%Y Palmer, Martha
%Y Hwa, Rebecca
%Y Riedel, Sebastian
%S Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F friedrich-gateva-2017-classification
%X 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.
%R 10.18653/v1/D17-1271
%U https://aclanthology.org/D17-1271
%U https://doi.org/10.18653/v1/D17-1271
%P 2559-2565

Markdown (Informal)

[Classification of telicity using cross-linguistic annotation projection](https://aclanthology.org/D17-1271) (Friedrich & Gateva, EMNLP 2017)

• Classification of telicity using cross-linguistic annotation projection (Friedrich & Gateva, EMNLP 2017)

ACL

• Annemarie Friedrich and Damyana Gateva. 2017. Classification of telicity using cross-linguistic annotation projection. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 2559–2565, Copenhagen, Denmark. Association for Computational Linguistics.