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» Learning for Semantic Parsing
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HRI
2010
ACM
14 years 4 months ago
Following directions using statistical machine translation
—Mobile robots that interact with humans in an intuitive way must be able to follow directions provided by humans in unconstrained natural language. In this work we investigate h...
Cynthia Matuszek, Dieter Fox, Karl Koscher
EELC
2006
154views Languages» more  EELC 2006»
14 years 1 months ago
Unify and Merge in Fluid Construction Grammar
Research into the evolution of grammar requires that we employ formalisms and processing mechanisms that are powerful enough to handle features found in human natural languages. Bu...
Luc Steels, Joachim De Beule
LREC
2010
180views Education» more  LREC 2010»
13 years 11 months ago
A Comprehensive Resource to Evaluate Complex Open Domain Question Answering
We describe two corpora of question and answer pairs collected for complex, open-domain Question Answering (QA) to enable answer classification and re-ranking experiments. We deli...
Silvia Quarteroni, Alessandro Moschitti
ACL
2006
13 years 11 months ago
Bootstrapping Path-Based Pronoun Resolution
We present an approach to pronoun resolution based on syntactic paths. Through a simple bootstrapping procedure, we learn the likelihood of coreference between a pronoun and a can...
Shane Bergsma, Dekang Lin
NAACL
2003
13 years 11 months ago
WordFreak: An Open Tool for Linguistic Annotation
WordFreak is a natural language annotation tool that has been designed to be easy to extend to new domains and tasks. Specifically, a plug-in architecture has been developed whic...
Thomas S. Morton, Jeremy LaCivita