Classification of telicity using cross-linguistic annotation projection

Annemarie Friedrich, Damyana Gateva
2017 Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing  
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
more » ... s. 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.
doi:10.18653/v1/d17-1271 dblp:conf/emnlp/FriedrichG17 fatcat:dakkkcglrrgwtnsmtsrw5adqme