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

Sharid Loáiciga; Liane Guillou; Christian Hardmeier

doi:10.18653/v1/D17-1137

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

Sharid Loáiciga, Liane Guillou, Christian Hardmeier

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

Abstract

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.

Originalsprog	Engelsk
Titel	Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
Antal sider	7
Publikationsdato	1 sep. 2017
Sider	1325–1331
ISBN (Trykt)	978-1-945626-97-5
DOI	https://doi.org/10.18653/v1/D17-1137
Status	Udgivet - 1 sep. 2017
Udgivet eksternt	Ja

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10.18653/v1/D17-1137

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What is it? Disambiguating the different readings of the pronoun 'it'. / Loáiciga, Sharid; Guillou, Liane; Hardmeier, Christian.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. 2017. s. 1325–1331.

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

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AB - 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.

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

Abstract

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