Paper: Latent Anaphora Resolution for Cross-Lingual Pronoun Prediction

ACL ID D13-1037
Title Latent Anaphora Resolution for Cross-Lingual Pronoun Prediction
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2013
Authors

This paper addresses the task of predicting the correct French translations of third-person sub- ject pronouns in English discourse, a problem that is relevant as a prerequisite for machine translation and that requires anaphora resolu- tion. We present an approach based on neu- ral networks that models anaphoric links as latent variables and show that its performance is competitive with that of a system with sep- arate anaphora resolution while not requiring any coreference-annotated training data. This demonstrates that the information contained in parallel bitexts can successfully be used to ac- quire knowledge about pronominal anaphora in an unsupervised way. 1 Motivation When texts are translated from one language into another, the translation reconstructs the meaning or function of t...