Sequence to Sequence Learning for Event Prediction
Abstract
This paper presents an approach to the task of predicting an event description from a preceding sentence in a text. Our approach explores sequence-to-sequence learning using a bidirectional multi-layer recurrent neural network. Our approach substantially outperforms previous work in terms of the BLEU score on two datasets derived from WikiHow and DeScript respectively. Since the BLEU score is not easy to interpret as a measure of event prediction, we complement our study with a second evaluation that exploits the rich linguistic annotation of gold paraphrase sets of events.
- Publication:
-
arXiv e-prints
- Pub Date:
- September 2017
- DOI:
- 10.48550/arXiv.1709.06033
- arXiv:
- arXiv:1709.06033
- Bibcode:
- 2017arXiv170906033N
- Keywords:
-
- Computer Science - Computation and Language
- E-Print:
- To appear in Proceedings of IJCNLP 2017