Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Modern Information Retrieval
Webpage Importance Analysis Using Conditional Markov Random Walk
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Reranking answers for definitional QA using language modeling
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Using random walks for question-focused sentence retrieval
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Multi-perspective question answering using the OpQA corpus
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Soft pattern matching models for definitional question answering
ACM Transactions on Information Systems (TOIS)
Multi-document summarization using cluster-based link analysis
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
A generation model to unify topic relevance and lexicon-based sentiment for opinion retrieval
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Assessing the role of discourse references in entailment inference
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Modeling semantic relevance for question-answer pairs in web social communities
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
A unified graph model for sentence-based opinion retrieval
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Recognising entailment within discourse
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Deep Learning Approaches to Semantic Relevance Modeling for Chinese Question-Answer Pairs
ACM Transactions on Asian Language Information Processing (TALIP)
ETF: extended tensor factorization model for personalizing prediction of review helpfulness
Proceedings of the fifth ACM international conference on Web search and data mining
Mining slang and urban opinion words and phrases from cQA services: an optimization approach
Proceedings of the fifth ACM international conference on Web search and data mining
Summarizing and extracting online public opinion from blog search results
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part I
Mining wikipedia and yahoo! answers for question expansion in opinion QA
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
An effective approach for topic-specific opinion summarization
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
Mining feature-opinion pairs and their reliability scores from web opinion sources
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
Active learning for imbalanced sentiment classification
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Why question answering using sentiment analysis and word classes
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Answering opinion questions on products by exploiting hierarchical organization of consumer reviews
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Power walk: revisiting the random surfer
Proceedings of the 18th Australasian Document Computing Symposium
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Opinion Question Answering (Opinion QA), which aims to find the authors' sentimental opinions on a specific target, is more challenging than traditional fact-based question answering problems. To extract the opinion oriented answers, we need to consider both topic relevance and opinion sentiment issues. Current solutions to this problem are mostly ad-hoc combinations of question topic information and opinion information. In this paper, we propose an Opinion PageRank model and an Opinion HITS model to fully explore the information from different relations among questions and answers, answers and answers, and topics and opinions. By fully exploiting these relations, the experiment results show that our proposed algorithms outperform several state of the art baselines on benchmark data set. A gain of over 10% in F scores is achieved as compared to many other systems.