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» Learning Semantic Correspondences with Less Supervision
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ACL
2011
12 years 8 months ago
Semi-Supervised Frame-Semantic Parsing for Unknown Predicates
We describe a new approach to disambiguating semantic frames evoked by lexical predicates previously unseen in a lexicon or annotated data. Our approach makes use of large amounts...
Dipanjan Das, Noah A. Smith
ACL
2008
13 years 6 months ago
A Supervised Learning Approach to Automatic Synonym Identification Based on Distributional Features
Distributional similarity has been widely used to capture the semantic relatedness of words in many NLP tasks. However, various parameters such as similarity measures must be hand...
Masato Hagiwara
ACL
2011
12 years 8 months ago
Learning Dependency-Based Compositional Semantics
Compositional question answering begins by mapping questions to logical forms, but training a semantic parser to perform this mapping typically requires the costly annotation of t...
Percy Liang, Michael I. Jordan, Dan Klein
MIE
2008
131views Healthcare» more  MIE 2008»
13 years 6 months ago
Supervised Approach to Recognize Question Type in a QA System for Health
Many attempts have been made in the QA domain but no system applicable to the field of health is currently available on the Internet. This paper describes a bilingual French/Engli...
Sarah Cruchet, Arnaud Gaudinat, Célia Boyer
EMNLP
2010
13 years 3 months ago
Holistic Sentiment Analysis Across Languages: Multilingual Supervised Latent Dirichlet Allocation
In this paper, we develop multilingual supervised latent Dirichlet allocation (MLSLDA), a probabilistic generative model that allows insights gleaned from one language's data...
Jordan L. Boyd-Graber, Philip Resnik