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» Cost-Sensitive Learning in Answer Extraction
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EMNLP
2010
14 years 7 months ago
Learning First-Order Horn Clauses from Web Text
Even the entire Web corpus does not explicitly answer all questions, yet inference can uncover many implicit answers. But where do inference rules come from? This paper investigat...
Stefan Schoenmackers, Jesse Davis, Oren Etzioni, D...
ACL
2008
14 years 11 months ago
Large Scale Acquisition of Paraphrases for Learning Surface Patterns
Paraphrases have proved to be useful in many applications, including Machine Translation, Question Answering, Summarization, and Information Retrieval. Paraphrase acquisition meth...
Rahul Bhagat, Deepak Ravichandran
AI
2005
Springer
14 years 9 months ago
Unsupervised named-entity extraction from the Web: An experimental study
The KNOWITALL system aims to automate the tedious process of extracting large collections of facts (e.g., names of scientists or politicians) from the Web in an unsupervised, doma...
Oren Etzioni, Michael J. Cafarella, Doug Downey, A...
CSUR
2006
135views more  CSUR 2006»
14 years 9 months ago
Adaptive information extraction
The growing availability of on-line textual sources and the potential number of applications of knowledge acquisition from textual data has lead to an increase in Information Extr...
Jordi Turmo, Alicia Ageno, Neus Català
78
Voted
PASTE
2010
ACM
15 years 2 months ago
Extracting compiler provenance from program binaries
We present a novel technique that identifies the source compiler of program binaries, an important element of program provenance. Program provenance answers fundamental questions...
Nathan E. Rosenblum, Barton P. Miller, Xiaojin Zhu