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» Crowdsourcing Inference-Rule Evaluation
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SIGIR
2011
ACM
12 years 10 months ago
Learning to rank from a noisy crowd
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
Abhimanu Kumar, Matthew Lease
JCDL
2011
ACM
374views Education» more  JCDL 2011»
12 years 10 months ago
Comparative evaluation of text- and citation-based plagiarism detection approaches using guttenplag
Various approaches for plagiarism detection exist. All are based on more or less sophisticated text analysis methods such as string matching, fingerprinting or style comparison. I...
Bela Gipp, Norman Meuschke, Jöran Beel
TPHOL
1999
IEEE
13 years 11 months ago
Lifted-FL: A Pragmatic Implementation of Combined Model Checking and Theorem Proving
Combining theorem proving and model checking o ers the tantalizing possibility of e ciently reasoning about large circuits at high levels of abstraction. We have constructed a syst...
Mark Aagaard, Robert B. Jones, Carl-Johan H. Seger
AAAI
2007
13 years 10 months ago
Semantic Inference at the Lexical-Syntactic Level
Semantic inference is an important component in many natural language understanding applications. Classical approaches to semantic inference rely on complex logical representation...
Roy Bar-Haim, Ido Dagan, Iddo Greental, Eyal Shnar...
RE
2006
Springer
13 years 7 months ago
Using Domain Ontology as Domain Knowledge for Requirements Elicitation
Domain knowledge is one of crucial factors to get a great success in requirements elicitation of high quality, and only domain experts, not requirements analysts, have it. We prop...
Haruhiko Kaiya, Motoshi Saeki