Community-Based Question Answering via Asymmetric Multi-Faceted Ranking Network Learning

Nowadays the community-based question answering (CQA) site has become the popular Internet-based web service, which has accumulated millions of questions and their posted answers over time. Thus, the question answering becomes an essential problem in CQA site, which ranks the high-quality answers to the given questions. Currently, most of the existing works consider the problem of question answering as text matching task that ranks the answers based on their semantic relevance, while ignoring the authority of answerers to the given question. In this paper, we consider the problem of community-based question answering from the viewpoint of asymmetric multi-faceted ranking network learning. We propose a novel asymmetric multi-faceted ranking network learning framework for question answering by exploiting both answers’ relative quality rank to given questions and the answerers’ following relations in CQA sites. We then develop an asymmetric multi-faceted ranking network learning method with recurrent neural networks for communitybased question answering. The extensive experiments on a large-scale dataset from a real world CQA site show that our method achieves better performance than other state-of-theart solutions to the problem.

[1]  Xiaolong Wang,et al.  Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering , 2015, ACL.

[2]  Yueting Zhuang,et al.  User Preference Learning for Online Social Recommendation , 2016, IEEE Transactions on Knowledge and Data Engineering.

[3]  Christopher Meek,et al.  Semantic Parsing for Single-Relation Question Answering , 2014, ACL.

[4]  Chun Chen,et al.  Mapping Users across Networks by Manifold Alignment on Hypergraph , 2014, AAAI.

[5]  Zhoujun Li,et al.  Improving Recommendation of Tail Tags for Questions in Community Question Answering , 2016, AAAI.

[6]  Qiaozhu Mei,et al.  PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks , 2015, KDD.

[7]  Di Wang,et al.  A Long Short-Term Memory Model for Answer Sentence Selection in Question Answering , 2015, ACL.

[8]  Wilfred Ng,et al.  Expert Finding for Question Answering via Graph Regularized Matrix Completion , 2015, IEEE Transactions on Knowledge and Data Engineering.

[9]  Jürgen Schmidhuber,et al.  Long Short-Term Memory , 1997, Neural Computation.

[10]  Richard Socher,et al.  A Neural Network for Factoid Question Answering over Paragraphs , 2014, EMNLP.

[11]  Deli Zhao,et al.  Network Representation Learning with Rich Text Information , 2015, IJCAI.

[12]  Eugene Agichtein,et al.  Discovering authorities in question answer communities by using link analysis , 2007, CIKM '07.

[13]  Jure Leskovec,et al.  node2vec: Scalable Feature Learning for Networks , 2016, KDD.

[14]  Steven Skiena,et al.  DeepWalk: online learning of social representations , 2014, KDD.

[15]  Ben He,et al.  Question-answer topic model for question retrieval in community question answering , 2012, CIKM.

[16]  Jeffrey Dean,et al.  Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.

[17]  Yi Zheng,et al.  Weakly-Supervised Deep Learning for Customer Review Sentiment Classification , 2016, IJCAI.

[18]  Le Song,et al.  Discriminative Embeddings of Latent Variable Models for Structured Data , 2016, ICML.

[19]  Danah Boyd,et al.  Social Network Sites: Definition, History, and Scholarship , 2007, J. Comput. Mediat. Commun..

[20]  Mingzhe Wang,et al.  LINE: Large-scale Information Network Embedding , 2015, WWW.

[21]  Xuanjing Huang,et al.  Convolutional Neural Tensor Network Architecture for Community-Based Question Answering , 2015, IJCAI.

[22]  Huiping Sun,et al.  CQArank: jointly model topics and expertise in community question answering , 2013, CIKM.

[23]  Quoc V. Le,et al.  Sequence to Sequence Learning with Neural Networks , 2014, NIPS.

[24]  Yueting Zhuang,et al.  Learning of Multimodal Representations With Random Walks on the Click Graph , 2016, IEEE Transactions on Image Processing.

[25]  Jian Pei,et al.  Asymmetric Transitivity Preserving Graph Embedding , 2016, KDD.

[26]  Zhiwei Sun,et al.  Question/Answer Matching for CQA System via Combining Lexical and Sequential Information , 2015, AAAI.

[27]  Quoc V. Le,et al.  Distributed Representations of Sentences and Documents , 2014, ICML.

[28]  Peter Kulchyski.  and , 2015 .

[29]  Ming Zhou,et al.  Question Answering over Freebase with Multi-Column Convolutional Neural Networks , 2015, ACL.

[30]  Po Hu,et al.  Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering , 2015, ACL.

[31]  Hang Li,et al.  Convolutional Neural Network Architectures for Matching Natural Language Sentences , 2014, NIPS.

[32]  Yueting Zhuang,et al.  Expert Finding for Community-Based Question Answering via Ranking Metric Network Learning , 2016, IJCAI.

[33]  Yueting Zhuang,et al.  Community-Based Question Answering via Heterogeneous Social Network Learning , 2016, AAAI.

[34]  Shengrui Wang,et al.  Identifying authoritative actors in question-answering forums: the case of Yahoo! answers , 2008, KDD.

[35]  Charu C. Aggarwal,et al.  Heterogeneous Network Embedding via Deep Architectures , 2015, KDD.