• Publications
  • Influence
Verbnet: a broad-coverage, comprehensive verb lexicon
TLDR
We created VerbNet, a verb lexicon compatible with Word-Net but with explicitly stated syntactic and semantic information, using Levin verb classes to systematically construct lexical entries. Expand
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Class-Based Construction of a Verb Lexicon
TLDR
We present an approach to building a verb lexicon compatible with WordNet but with explicitly stated syntactic and semantic information, using verb classes to systematically construct lexical entries. Expand
  • 456
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  • PDF
Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications
TLDR
We describe and evaluate our system, the clinical Text Analysis and Knowledge Extraction System (cTAKES), released open-source at http://www.ohnlp.org. Expand
  • 1,291
  • 62
  • PDF
A large-scale classification of English verbs
TLDR
Lexical classifications have proved useful in supporting various natural language processing (NLP) tasks. Expand
  • 218
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Extending VerbNet with Novel Verb Classes
TLDR
Korhonen and Briscoe (2004) proposed a significant extension of Levin’s classification which incorporates 57 novel classes for verbs not covered (comprehensively) by Levin. Expand
  • 165
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Argument Realization
  • K. Schuler
  • Computer Science
  • Computational Linguistics
  • 2006
TLDR
Argument Realization presents a thorough survey of current theories that deal with the relationship between verbs and their arguments. Expand
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Investigating Regular Sense Extensions Based on Intersective Levin Classes
TLDR
In this paper we specifically address questions of polysemy with respect to verbs, and how regular extensions of meaning can be achieved through the adjunction of particular syntactic phrases. Expand
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  • 10
  • PDF
Automatically extracting cancer disease characteristics from pathology reports into a Disease Knowledge Representation Model
TLDR
We introduce an extensible and modifiable knowledge representation model to represent cancer disease characteristics in a comparable and consistent fashion using natural language processing principles, machine learning and rules. Expand
  • 130
  • 9
A Machine Translation System from English to American Sign Language
TLDR
We prototype a machine translation system from English to American Sign Language (ASL), taking into account not only linguistic but also visual and spatial information associated with ASL signs. Expand
  • 150
  • 9
  • PDF
Conditional Random Fields and Support Vector Machines for Disorder Named Entity Recognition in Clinical Texts
TLDR
We present a comparative study between two machine learning methods, Conditional Random Fields and Support Vector Machines for clinical named entity recognition. Expand
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