Question Answering
We focus on question answering on opinion texts such as reviews and product QA.
Review Reading Comprehension (RRC)
check this repository and paper.
Review Conversational Reading Comprehension (RCRC)
check this repository and paper.
Complementary Entity Recognition (CER)
We have the following paper for this topic:
Dual Attention Network for Product Compatibility and Function Satisfiability Analysis
AAAI Conference on Artificial Intelligence (AAAI 2018)
(This paper focuses on complementary aspect extraction and polarity classification from question-answering pairs)
Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
[paper], [dataset], [bib], [slides]
Product Function Need Recognition via Semi-supervised Attention Network
IEEE International Conference on Big Data 2017 (IEEE Bigdata 2017)
Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
[paper], [dataset], [bib]
Mining Compatible/Incompatible Entities from Question and Answering via Yes/No Answer Classification using Distant Label Expansion
arXiv preprint arXiv:1612.04499
Hu Xu, Lei Shu, Jingyuan Zhang, Philip S. Yu
[paper], [dataset], [bib]
CER: Complementary Entity Recognition via Knowledge Expansion on Large Unlabeled Product Reviews
(Previous title: Sentence-level Extraction of Complementary Entities using Large Unlabeled Product Reviews)
IEEE International Conference on Big Data 2016 (IEEE Bigdata 2016)
Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
[paper], [slides], [data], [bib]