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.- Anthology ID:
- D17-1137
- Volume:
- Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Month:
- September
- Year:
- 2017
- Address:
- Copenhagen, Denmark
- Editors:
- Martha Palmer, Rebecca Hwa, Sebastian Riedel
- Venue:
- EMNLP
- SIG:
- SIGDAT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1325–1331
- Language:
- URL:
- https://aclanthology.org/D17-1137
- DOI:
- 10.18653/v1/D17-1137
- Cite (ACL):
- Sharid Loáiciga, Liane Guillou, and Christian Hardmeier. 2017. What is it? Disambiguating the different readings of the pronoun ‘it’. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 1325–1331, Copenhagen, Denmark. Association for Computational Linguistics.
- Cite (Informal):
- What is it? Disambiguating the different readings of the pronoun ‘it’ (Loáiciga et al., EMNLP 2017)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/D17-1137.pdf