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Question Answering from Frequently Asked Question Files: Experiences with the FAQ Finder System
Question Answering from Frequently Asked Question Files: Experiences with the FAQ Finder System
Relevance based language models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Task orientation in question answering
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Learning to find answers to questions on the Web
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Domain-specific FAQ retrieval using independent aspects
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Learning how to answer questions using trivia games
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Finding semantically similar questions based on their answers
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Retrieving answers from frequently asked questions pages on the web
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Finding similar questions in large question and answer archives
Proceedings of the 14th ACM international conference on Information and knowledge management
Learning strategies for story comprehension: a reinforcement learning approach
ICML '05 Proceedings of the 22nd international conference on Machine learning
Automatic question answering using the web: Beyond the Factoid
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Retrieval models for question and answer archives
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Tapping on the potential of q&a community by recommending answer providers
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A classification-based approach to question answering in discussion boards
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EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
AUG: a combined classification and clustering approach for web people disambiguation
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HSI'09 Proceedings of the 2nd conference on Human System Interactions
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
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SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Proceedings of the 19th international conference on World wide web
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
Clickthrough-based translation models for web search: from word models to phrase models
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
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WAIM'10 Proceedings of the 11th international conference on Web-age information management
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WAIM'10 Proceedings of the 11th international conference on Web-age information management
Adaptive algorithm based on clustering techniques for custom reading plans
CIMMACS '10 Proceedings of the 9th WSEAS international conference on computational intelligence, man-machine systems and cybernetics
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ACM Transactions on Asian Language Information Processing (TALIP)
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Question answering using statistical language modelling
Computer Speech and Language
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Frontiers of Computer Science in China
A simple word trigger method for social tag suggestion
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
ACM Transactions on Information Systems (TOIS)
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FAQtory: A framework to provide high-quality FAQ retrieval systems
Expert Systems with Applications: An International Journal
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EACL 2012 Proceedings of the Joint Workshop on Exploiting Synergies between Information Retrieval and Machine Translation (ESIRMT) and Hybrid Approaches to Machine Translation (HyTra)
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A high-performance FAQ retrieval method using minimal differentiator expressions
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International Journal of Software Science and Computational Intelligence
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WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
A cloud of FAQ: A highly-precise FAQ retrieval system for the Web 2.0
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Learning regular expressions to template-based FAQ retrieval systems
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This paper investigates whether a machine can automatically learn the task of finding, within a large collection of candidate responses, the answers to questions. The learning process consists of inspecting a collection of answered questions and characterizing the relation between question and answer with a statistical model. For the purpose of learning this relation, we propose two sources of data: Usenet FAQ documents and customer service call-center dialogues from a large retail company. We will show that the task of “answer-finding” differs from both document retrieval and tradition question-answering, presenting challenges different from those found in these problems. The central aim of this work is to discover, through theoretical and empirical investigation, those statistical techniques best suited to the answer-finding problem.