What is it? Disambiguating the different readings of the pronoun 'it'

Sharid Loáiciga, Liane Guillou, Christian Hardmeier

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

In this paper, we address the problem of predicting one of three functions for the English pronoun `it': anaphoric, event reference or pleonastic. This disambiguation is valuable in the context of machine translation and coreference resolution. We present experiments using a MAXENT classifier trained on gold-standard data and self-training experiments of an RNN trained on silver-standard data, annotated using the MAXENT classifier. Lastly, we report on an analysis of the strengths of these two models.
Original languageEnglish
Title of host publicationProceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
Place of PublicationCopenhagen, Denmark
PublisherAssociation for Computational Linguistics
Pages1336-1342
Number of pages7
ISBN (Print)978-1-945626-97-5
DOIs
Publication statusPublished - 1 Sept 2017
EventEMNLP 2017: Conference on Empirical Methods in Natural Language Processing - Copenhagen, Denmark
Duration: 7 Sept 201711 Sept 2017
http://emnlp2017.net/index.html
http://emnlp2017.net/

Conference

ConferenceEMNLP 2017: Conference on Empirical Methods in Natural Language Processing
Abbreviated titleEMNLP 2017
Country/TerritoryDenmark
CityCopenhagen
Period7/09/1711/09/17
Internet address

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