A compare-aggregate model for matching text sequences

A compare-aggregate model for matching text sequences

Many NLP tasks including machine comprehension, answer selection and text entailment require the comparison between sequences. Matching the important units between sequences is a key to solve these problems. In this paper, we present a general "compare-aggregate" framework that performs wo...

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Bibliographic Details
Main Authors: WANG, Shuohang, Jing JIANG
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2017
Subjects:
Natural language processing
Deep learning
Artificial Intelligence and Robotics
Databases and Information Systems
Online Access:https://ink.library.smu.edu.sg/sis_research/3653
https://ink.library.smu.edu.sg/context/sis_research/article/4655/viewcontent/14._Apr03_2017___A_Compare__Aggregate_Model_For_Matching_Text_Sequences__ICLR2017_.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/3653
https://ink.library.smu.edu.sg/context/sis_research/article/4655/viewcontent/14._Apr03_2017___A_Compare__Aggregate_Model_For_Matching_Text_Sequences__ICLR2017_.pdf

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