Kendall's advanced theory of statistics
Kendall's advanced theory of statistics
Overview of the second text retrieval conference (TREC-2)
TREC-2 Proceedings of the second conference on Text retrieval conference
A re-examination of text categorization methods
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
An Evaluation of Statistical Approaches to Text Categorization
Information Retrieval
Task orientation in question answering
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
The impact of corpus size on question answering performance
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic models of information retrieval based on measuring the divergence from randomness
ACM Transactions on Information Systems (TOIS)
Features of documents relevant to task- and fact- oriented questions
Proceedings of the eleventh international conference on Information and knowledge management
The Alternating Decision Tree Learning Algorithm
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Finding content-bearing terms using term similarities
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Word selection for EBMT based on monolingual similarity and translation confidence
HLT-NAACL-PARALLEL '03 Proceedings of the HLT-NAACL 2003 Workshop on Building and using parallel texts: data driven machine translation and beyond - Volume 3
Adapting the naive bayes classifier to rank procedural texts
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
Addressing how-to questions using a spoken dialogue system: a viable approach?
KRAQ '09 Proceedings of the 2009 Workshop on Knowledge and Reasoning for Answering Questions
Adapting the naive bayes classifier to rank procedural texts
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
Towards domain independent why text segment classification based on bag of function words
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
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This paper addresses the problem of automatically retrieving answers for how-to questions, focusing on those that inquire about the procedure for achieving a specific goal. For such questions, typical information retrieval methods, based on key word matching, are better suited to detecting the content of the goal (e.g., 'installing a Windows XP server') than the general nature of the desired information (i.e., procedural, a series of steps for achieving this goal). We suggest dividing the process of retrieving answers for such questions into two stages, with each stage focusing on modeling one aspect of a how-to question. We compare the two-stage approach with two alternative approaches: a baseline approach that only uses the content of the goal to retrieve relevant documents and another approach that explores the potential of automatic query expansion. The result of the experiment shows that the two-stage approach significantly outperforms the baseline but achieves similar result with the systems using automatic query expansion techniques. We analyze the reason and also present some future work.