Title
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering.
Abstract
Answer selection and knowledge base question answering (KBQA) are two important tasks of question answering (QA) systems. Existing methods solve these two tasks separately, which requires large number of repetitive work and neglects the rich correlation information between tasks. In this paper, we tackle answer selection and KBQA tasks simultaneously via multi-task learning (MTL), motivated by the following motivations. First, both answer selection and KBQA can be regarded as a ranking problem, with one at text-level while the other at knowledge-level. Second, these two tasks can benefit each other: answer selection can incorporate the external knowledge from knowledge base (KB), while KBQA can be improved by learning contextual information from answer selection. To fulfill the goal of jointly learning these two tasks, we propose a novel multi-task learning scheme that utilizes multi-view attention learned from various perspectives to enable these tasks to interact with each other as well as learn more comprehensive sentence representations. The experiments conducted on several real-world datasets demonstrate the effectiveness of the proposed method, and the performance of answer selection and KBQA is improved. Also, the multi-view attention scheme is proved to be effective in assembling attentive information from different representational perspectives.
Year
Venue
Field
2018
THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE
Contextual information,Multi-task learning,Question answering,Ranking,Computer science,Knowledge base question answering,Artificial intelligence,Natural language processing,Knowledge base,Sentence
DocType
Volume
Citations 
Journal
abs/1812.02354
0
PageRank 
References 
Authors
0.34
0
8
Name
Order
Citations
PageRank
Yang Deng1113.78
Yuexiang Xie242.45
yaliang li362950.87
Min Yang47720.41
Nan Du550352.49
Wei Fan64205253.58
Lei Kai715738.17
Ying Shen855.49