Web-scale information extraction in knowitall: (preliminary results)
Proceedings of the 13th international conference on World Wide Web
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Learning surface text patterns for a Question Answering system
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Generating query substitutions
Proceedings of the 15th international conference on World Wide Web
Random walks on the click graph
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Paraphrase recognition via dissimilarity significance classification
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Finding Comparative Facts and Aspects for Judging the Credibility of Uncertain Facts
WISE '09 Proceedings of the 10th International Conference on Web Information Systems Engineering
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In this paper, we propose a method to search the Web for sentence substitutions for a given sentence query. Our method uses only lexico-syntactic patterns dynamically generated from the input sentence query to collect sentence substitutions from the Web on demand. Experimental results show that our method works well and can be used to obtain sentence substitutions for rare sentence queries as well as for popular sentence queries. It is also shown that our method can collect various types of sentence substitutions such as paraphrases, generalized sentences, detailed sentences, and comparative sentences. Our method searches for sentence substitutions whose expressions appear most frequently on the Web. Therefore, even if users issue the sentence query by which Web search engines return no or few search results for some reasons, our method enables users to collect more Web pages about the given sentence query or the sentences related to the query.