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Improving the Performance of the Random Walk Model for Answering Complex Questions.

, and . ACL (2), page 9-12. The Association for Computer Linguistics, (2008)

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A reinforcement learning framework for answering complex questions., , and . IUI, page 307-310. ACM, (2011)A SVM-Based Ensemble Approach to Multi-Document Summarization., , and . Canadian AI, volume 5549 of Lecture Notes in Computer Science, page 199-202. Springer, (2009)Neural sentence fusion for diversity driven abstractive multi-document summarization., , , and . Comput. Speech Lang., (2019)Topic Detection Using Lexical Chains.. IEA/AIE, volume 2070 of Lecture Notes in Computer Science, page 552-558. Springer, (2001)Experiments in Topic Detection.. LREC, European Language Resources Association, (2002)Summarizing Documents in Context: Modeling the User's Information Need.. FinTAL, volume 4139 of Lecture Notes in Computer Science, page 625-631. Springer, (2006)Exploiting Syntactic and Shallow Semantic Kernels to Improve Random Walks for Complex Question Answering., and . ICTAI (2), page 123-130. IEEE Computer Society, (2008)978-0-7695-3440-4.Answering Complex Questions Using Query-Focused Summarization Technique., and . ICTAI (2), page 131-134. IEEE Computer Society, (2008)978-0-7695-3440-4.Towards Automatic Topical Question Generation., and . COLING, page 475-492. Indian Institute of Technology Bombay, (2012)Scalable generation of texts using causal and temporal expansions of sentences.. Nat. Lang. Eng., 7 (3): 191-205 (2001)