The authors are participants in a project, called "FrameNet" which is aimed at building a large computer lexicon of contemporary written English and making it accessible through the World Wide Web for both computational and lexicographic interests. In the process of designing this resource, we have to keep in mind how it can serve its intended applications. A prerequisite to most imaginable NLP applications is word sense disambiguation (WSD), the automatic process by which a word in a linguistic context can be (probabilistically) assigned its locally intended meaning. This paper will introduce FrameNet and will characterize a facility, based on its tools and data, that could in principle be directed to WSD efforts, and will suggest how both...
1. Information on syntactic and semantic properties of verbs, which are traditionally considered as ...
Word sense disambiguation (WSD) is a computational linguistics task likely to benefit from the tradi...
Natural Language is highly ambiguous, on every level. This article describes a fast broad-coverage s...
The authors are participants in a project, called "FrameNet" which is aimed at building a large comp...
This paper reports on the design of a lexical database for English which is currently under construc...
The study of lexical semantics has produced a systematic analysis of binary relationships between co...
This paper examines extending a database of English verbs, grouped into syntactico-seman...
The FrameNet lexical database yields information about collocations and multiword expressions in var...
The Berkeley FrameNet Project (http://www.icsi.berkeley.edu/~framenet) is building an on-line lexica...
Natural language is highly ambiguous, with the same word having different meanings depending on the ...
An important problem in Natural Language Processing is identifying the correct sense of a word in a ...
The unavailability of very large corpora with semantically disambiguated words is a major limitation...
Comunicació presentada a COLING 2016: the 26th International Conference on Computational Linguistics...
Natural Language Processing systems crucially depend on the availability of lexical and conceptual k...
Semantic web applications leveraging NLP can benefit from easy access to expressive lexical resource...
1. Information on syntactic and semantic properties of verbs, which are traditionally considered as ...
Word sense disambiguation (WSD) is a computational linguistics task likely to benefit from the tradi...
Natural Language is highly ambiguous, on every level. This article describes a fast broad-coverage s...
The authors are participants in a project, called "FrameNet" which is aimed at building a large comp...
This paper reports on the design of a lexical database for English which is currently under construc...
The study of lexical semantics has produced a systematic analysis of binary relationships between co...
This paper examines extending a database of English verbs, grouped into syntactico-seman...
The FrameNet lexical database yields information about collocations and multiword expressions in var...
The Berkeley FrameNet Project (http://www.icsi.berkeley.edu/~framenet) is building an on-line lexica...
Natural language is highly ambiguous, with the same word having different meanings depending on the ...
An important problem in Natural Language Processing is identifying the correct sense of a word in a ...
The unavailability of very large corpora with semantically disambiguated words is a major limitation...
Comunicació presentada a COLING 2016: the 26th International Conference on Computational Linguistics...
Natural Language Processing systems crucially depend on the availability of lexical and conceptual k...
Semantic web applications leveraging NLP can benefit from easy access to expressive lexical resource...
1. Information on syntactic and semantic properties of verbs, which are traditionally considered as ...
Word sense disambiguation (WSD) is a computational linguistics task likely to benefit from the tradi...
Natural Language is highly ambiguous, on every level. This article describes a fast broad-coverage s...