Title
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.
Year
Venue
DocType
2017
international joint conference on natural language processing
Conference
Volume
Citations 
PageRank 
abs/1709.06033
0
0.34
References 
Authors
14
5
Name
Order
Citations
PageRank
Dai Quoc Nguyen110713.49
Dat Quoc Nguyen224625.87
Cuong Chu3142.36
Stefan Thater475638.54
Manfred Pinkal5111669.77