Sequence to Sequence Learning for Event Prediction

Autor:	Nguyen, Dai Quoc, Nguyen, Dat Quoc, Chu, Cuong Xuan, Thater, Stefan, Pinkal, Manfred
Rok vydání:	2017
Předmět:	Computer Science - Computation and Language
Druh dokumentu:	Working Paper
Popis:	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. Comment: To appear in Proceedings of IJCNLP 2017
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1709.06033 Zobrazit plný text záznamu View this record from Arxiv