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» Models of Metaphor in NLP
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MLCW
2005
Springer
14 years 3 months ago
Learning Textual Entailment on a Distance Feature Space
Textual Entailment recognition is a very difficult task as it is one of the fundamental problems in any semantic theory of natural language. As in many other NLP tasks, Machine Lea...
Maria Teresa Pazienza, Marco Pennacchiotti, Fabio ...
COLING
2008
13 years 11 months ago
Explaining Similarity of Terms
Computing the similarity between entities is a core component of many NLP tasks such as measuring the semantic similarity of terms for generating a distributional thesaurus. In th...
Vishnu Vyas, Patrick Pantel
LREC
2010
155views Education» more  LREC 2010»
13 years 11 months ago
A Named Entity Labeler for German: Exploiting Wikipedia and Distributional Clusters
Named Entity Recognition is a relatively well-understood NLP task, with many publicly available training resources and software for English. Other languages tend to be underserved...
Grzegorz Chrupala, Dietrich Klakow
EMNLP
2004
13 years 11 months ago
Scaling Web-based Acquisition of Entailment Relations
Paraphrase recognition is a critical step for natural language interpretation. Accordingly, many NLP applications would benefit from high coverage knowledge bases of paraphrases. ...
Idan Szpektor, Hristo Tanev, Ido Dagan, Bonaventur...
EMNLP
2006
13 years 11 months ago
Domain Adaptation with Structural Correspondence Learning
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...
John Blitzer, Ryan T. McDonald, Fernando Pereira