@inproceedings{loaiciga-etal-2017-disambiguating,
    title = "What is it? Disambiguating the different readings of the pronoun `it'",
    author = "Lo{\'a}iciga, Sharid  and
      Guillou, Liane  and
      Hardmeier, Christian",
    editor = "Palmer, Martha  and
      Hwa, Rebecca  and
      Riedel, Sebastian",
    booktitle = "Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing",
    month = sep,
    year = "2017",
    address = "Copenhagen, Denmark",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/D17-1137/",
    doi = "10.18653/v1/D17-1137",
    pages = "1325--1331",
    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."
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%0 Conference Proceedings
%T What is it? Disambiguating the different readings of the pronoun ‘it’
%A Loáiciga, Sharid
%A Guillou, Liane
%A Hardmeier, Christian
%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 loaiciga-etal-2017-disambiguating
%X 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.
%R 10.18653/v1/D17-1137
%U https://aclanthology.org/D17-1137/
%U https://doi.org/10.18653/v1/D17-1137
%P 1325-1331
Markdown (Informal)
[What is it? Disambiguating the different readings of the pronoun ‘it’](https://aclanthology.org/D17-1137/) (Loáiciga et al., EMNLP 2017)
ACL