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Hits 1 – 14 of 14

1	Hitting the right paraphrases in good time
	Stanley Kok; Chris Brockett
	In: http://www.aclweb.org/anthology/N/N10/N10-1017.pdf (2010)
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2	Hitting the right paraphrases in good time
	Stanley Kok; Chris Brockett
	In: http://ai.cs.washington.edu/www/media/papers/naacl10.pdf (2010)
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3	Correcting ESL errors using phrasal smt techniques
	Chris Brockett; William B. Dolan; Michael Gamon
	In: http://www.mt-archive.info/Coling-ACL-2006-Brockett.pdf (2006)
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4	Correcting ESL errors using phrasal smt techniques
	Chris Brockett; William B. Dolan; Michael Gamon
	In: http://acl.ldc.upenn.edu/P/P06/P06-1032.pdf (2006)
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5	Unsupervised construction of large paraphrase corpora: Exploiting massively parallel news sources
	Bill Dolan; Chris Quirk; Chris Brockett
	In: http://www.mt-archive.info/Coling-2004-Dolan.pdf (2004)
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6	Unsupervised construction of large paraphrase corpora: Exploiting massively parallel news sources
	Bill Dolan; Chris Quirk; Chris Brockett
	In: http://research.microsoft.com/nlp/publications/paraphrase_coling.pdf (2004)
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7	Monolingual machine translation for paraphrase generation
	Chris Quirk; Chris Brockett; William Dolan
	In: http://acl.ldc.upenn.edu/acl2004/emnlp/pdf/Quirk.pdf (2004)
	Abstract: We apply statistical machine translation (SMT) tools to generate novel paraphrases of input sentences in the same language. The system is trained on large volumes of sentence pairs automatically extracted from clustered news articles available on the World Wide Web. Alignment Error Rate (AER) is measured to gauge the quality of the resulting corpus. A monotone phrasal decoder generates contextual replacements. Human evaluation shows that this system outperforms baseline paraphrase generation techniques and, in a departure from previous work, offers better coverage and scalability than the current best-of-breed paraphrasing approaches. 1
	URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.127.6207 http://acl.ldc.upenn.edu/acl2004/emnlp/pdf/Quirk.pdf
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8	EnglishJapanese Example-Based Machine Translation Using Abstract Linguistic Representations
	Chris Brockett; Takako Aikawa; Anthony Aue...
	In: http://acl.ldc.upenn.edu/coling2002/workshops/data/w07/w07-04.pdf (2002)
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9	Automatically Harvesting Katakana-English Term Pairs from Search Engine Query Logs
	Eric Brill; Gary Kacmarcik; Chris Brockett
	In: http://research.microsoft.com/~brill/Pubs/NLPRS2001.pdf (2001)
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10	Robust Segmentation of Japanese Text into a Lattice for Parsing
	Gary Kacmarcik; Chris Brockett; Hisami Suzuki
	In: http://acl.ldc.upenn.edu/C/C00/C00-1057.pdf (2000)
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11	Robust Segmentation of Japanese Text into a Lattice for Parsing
	Gary Kacmarcik; Chris Brockett; Hisami Suzuki
	In: http://aclweb.org/anthology/C/C00/C00-1057.pdf
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12	Microsoft Research at DUC2006: Task-Focused Summarization with Sentence Simplification and Lexical Expansion
	Lucy V; Hisami Suzuki; Chris Brockett
	In: http://duc.nist.gov/pubs/2006papers/duc2006_MSR_final.pdf
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13	Monolingual Machine Translation for Paraphrase Generation
	Chris Quirk; Chris Brockett; William Dolan
	In: http://www.mt-archive.info/EMNLP-2004-Quirk.pdf
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14	Monolingual Machine Translation for Paraphrase Generation
	Chris Quirk; Chris Brockett; William Dolan
	In: http://research.microsoft.com/pubs/69170/paraphrase_emnlp_2004_corrected.pdf
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