Selection and information: a class-based approach to lexical relationships
Selection and information: a class-based approach to lexical relationships
Lexical cohesion computed by thesaural relations as an indicator of the structure of text
Computational Linguistics
A statistical profile of the Named Entity task
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Disambiguation of proper names in text
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
An information extraction core system for real world German text processing
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Identifying topics by position
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Automatic detection of text genre
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Multi-paragraph segmentation of expository text
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Recognizing text genres with simple metrics using discriminant analysis
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
University of Manitoba: description of the NUBA system as used for MUC-5
MUC5 '93 Proceedings of the 5th conference on Message understanding
The Penn Treebank: annotating predicate argument structure
HLT '94 Proceedings of the workshop on Human Language Technology
Towards multidocument summarization by reformulation: progress and prospects
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Summarizing scientific articles: experiments with relevance and rhetorical status
Computational Linguistics - Summarization
Automatic verb classification based on statistical distributions of argument structure
Computational Linguistics
Automatic verb classification using distributions of grammatical features
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Exploring the use of linguistic features in domain and genre classification
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Learning to find answers to questions on the Web
ACM Transactions on Internet Technology (TOIT)
Boosting variant recognition with light semantics
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Clustering verbs semantically according to their alternation behaviour
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Verb class disambiguation using informative priors
Computational Linguistics
Experiments on the choice of features for learning verb classes
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Inducing German semantic verb classes from purely syntactic subcategorisation information
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Clustering polysemic subcategorization frame distributions semantically
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Term recognition using technical dictionary hierarchy
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
What's yours and what's mine: determining intellectual attribution in scientific text
EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13
GIST-IT: summarizing email using linguistic knowledge and machine learning
HLTKM '01 Proceedings of the workshop on Human Language Technology and Knowledge Management - Volume 2001
Assigning verbs to semantic classes via WordNet
SEMANET '02 Proceedings of the 2002 workshop on Building and using semantic networks - Volume 11
Experiments on the Automatic Induction of German Semantic Verb Classes
Computational Linguistics
Automatic recognition of German news focusing on future-directed beliefs and intentions
Computer Speech and Language
A corpus-based analysis of argument realization by preposition structures
Natural Language Engineering
Extended lexical-semantic classification of English verbs
CLS '04 Proceedings of the HLT-NAACL Workshop on Computational Lexical Semantics
A supervised algorithm for verb disambiguation into VerbNet classes
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Improving Persian information retrieval systems using stemming and part of speech tagging
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
A computational model of logical metonymy
ACM Transactions on Speech and Language Processing (TSLP) - Special issue on multiword expressions: From theory to practice and use, part 2
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We present results of two methods for assessing the event profile of news articles as a function of verb type. The unique contribution of this research is the focus on the role of verbs, rather than nouns. Two algorithms are presented and evaluated, one of which is shown to accurately discriminate documents by type and semantic properties, i.e. the event profile. The initial method, using WordNet (Miller et al. 1990), produced multiple cross-classification of articles, primarily due to the bushy nature of the verb tree coupled with the sense disambiguation problem. Our second approach using English Verb Classes and Alternations (EVCA) Levin (1993) showed that monosemous categorization of the frequent verbs in WSJ made it possible to usefully discriminate documents. For example, our results show that articles in which communication verbs predominate tend to be opinion pieces, whereas articles with a high percentage of agreement verbs tend to be about mergers or legal cases. An evaluation is performed on the results using Kendall's τ. We present convincing evidence for using verb semantic classes as a discriminant in document classification.