SOTAVerified

Classification of telicity using cross-linguistic annotation projection

2017-09-01EMNLP 2017Code Available0· sign in to hype

Annemarie Friedrich, Damyana Gateva

Code Available — Be the first to reproduce this paper.

Reproduce

Code

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.

Tasks

Reproductions