Semi Supervised Preposition-Sense Disambiguation using Multilingual Data [article]

Hila Gonen, Yoav Goldberg
2016 arXiv   pre-print
Prepositions are very common and very ambiguous, and understanding their sense is critical for understanding the meaning of the sentence. Supervised corpora for the preposition-sense disambiguation task are small, suggesting a semi-supervised approach to the task. We show that signals from unannotated multilingual data can be used to improve supervised preposition-sense disambiguation. Our approach pre-trains an LSTM encoder for predicting the translation of a preposition, and then incorporates
more » ... the pre-trained encoder as a component in a supervised classification system, and fine-tunes it for the task. The multilingual signals consistently improve results on two preposition-sense datasets.
arXiv:1611.08813v1 fatcat:wkjpkoyfbvfrtjhlkitn33xwge