Attention-based Pairwise Multi-Perspective Convolutional Neural Network for Answer Selection in Question Answering

09/03/2019
by   Jamshid Mozafari, et al.
0

Over the past few years, question answering and information retrieval systems have become widely used. These systems attempt to find the answer of the asked questions from raw text sources. A component of these systems is Answer Selection which selects the most relevant answer from candidate answers. Syntactic similarities were mostly used to compute the similarity, but in recent works, deep neural networks have been used which have made a significant improvement in this field. In this research, a model is proposed to select the most relevant answers to the factoid question from the candidate answers. The proposed model ranks the candidate answers in terms of semantic and syntactic similarity to the question, using convolutional neural networks. In this research, Attention mechanism and Sparse feature vector use the context-sensitive interactions between questions and answer sentence. Wide convolution increases the importance of the interrogative word. Pairwise ranking is used to learn differentiable representations to distinguish positive and negative answers. Our model indicates strong performance on the TrecQA beating previous state-of-the-art systems by 2.62 while using the benefits of no additional syntactic parsers and external tools. The results show that using context-sensitive interactions between question and answer sentences can help to find the correct answer more accurately.

READ FULL TEXT

page 1

page 2

page 3

page 4

06/01/2019

Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems

In the area of community question answering (CQA), answer selection and ...
04/05/2016

Modeling Relational Information in Question-Answer Pairs with Convolutional Neural Networks

In this paper, we propose convolutional neural networks for learning an ...
08/05/2018

Combining Graph-based Dependency Features with Convolutional Neural Network for Answer Triggering

Answer triggering is the task of selecting the best-suited answer for a ...
02/06/2018

Question-Answer Selection in User to User Marketplace Conversations

Sellers in user to user marketplaces can be inundated with questions fro...
10/10/2020

MS-Ranker: Accumulating Evidence from Potentially Correct Candidates for Answer Selection

As conventional answer selection (AS) methods generally match the questi...
04/19/2016

M^2S-Net: Multi-Modal Similarity Metric Learning based Deep Convolutional Network for Answer Selection

Recent works using artificial neural networks based on distributed word ...

Please sign up or login with your details

Forgot password? Click here to reset