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Recognizing Textual Entailment by Generality Using Informative Asymmetric Measures and Multiword Unit Identification to Summarize Ephemeral Clusters.

, , , and . Web Intelligence, page 284-287. IEEE Computer Society, (2011)

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GTE-Rank: Searching for Implicit Temporal Query Results., , , and . CIKM, page 2081-2083. ACM, (2014)GTE: a distributional second-order co-occurrence approach to improve the identification of top relevant dates in web snippets., , , and . CIKM, page 2035-2039. ACM, (2012)Learning Lexical-Semantic Relations Using Intuitive Cognitive Links., , , , and . ECIR (1), volume 11437 of Lecture Notes in Computer Science, page 3-18. Springer, (2019)Disambiguating Implicit Temporal Queries by Clustering Top Relevant Dates in Web Snippets., , , and . Web Intelligence, page 1-8. IEEE Computer Society, (2012)Does natural selection apply to natural language processing? an experiment for multiword unit extraction., and . SMC, page 205-212. IEEE, (2001)Enriching temporal query understanding through date identification: how to tag implicit temporal queries?, , , and . TempWeb, page 41-48. ACM, (2012)The 2nd HistoInformatics Workshop - Introduction., , , and . SocInfo Workshops, volume 8852 of Lecture Notes in Computer Science, page 229-233. Springer, (2014)Exploring the Role of Artificial Intelligence in Mental Health., , , , , , and . ICDM (Workshops), page 1289-1298. IEEE, (2023)Using ephemeral clustering and query logs to organize web image search results on mobile devices., and . IMMPD@ACM Multimedia, page 33-38. ACM, (2011)Topic Segmentation Algorithms for Text Summarization and Passage Retrieval: An Exhaustive Evaluation., , and . AAAI, page 1334-1339. AAAI Press, (2007)