Memory and context for language interpretation
Memory and context for language interpretation
An intelligent analyzer and understander of English
Communications of the ACM
Responding intelligently to unparsable inputs
Computational Linguistics
Computational Linguistics
Towards a dictionary support environment for real time parsing
EACL '85 Proceedings of the second conference on European chapter of the Association for Computational Linguistics
Limited domain systems for language teaching
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
Detecting patterns in a Lexical Data Base
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
PHRAN: a knowledge-based natural language understander
ACL '80 Proceedings of the 18th annual meeting on Association for Computational Linguistics
A taxonomy for English nouns and verbs
ACL '81 Proceedings of the 19th annual meeting on Association for Computational Linguistics
Lexical semantic techniques for corpus analysis
Computational Linguistics - Special issue on using large corpora: II
Topical clustering of MRD senses based on information retrieval techniques
Computational Linguistics - Special issue on word sense disambiguation
A multi-purpose interface to an on-line dictionary
EACL '87 Proceedings of the third conference on European chapter of the Association for Computational Linguistics
Disambiguating and interpreting verb definitions
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Acquisition of semantic information from an on-line dictionary
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 1
Extraction of semantic information from an ordinary English dictionary and its evaluation
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
On the acquisition of conceptual definitions via textual modelling of meaning paraphrases
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 4
Automatic Extraction of Hyponymy-Hypernymy Lexical Relations between Nouns from a Spanish Dictionary
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part I
Ontology development for health care in India
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Enriching thesauri with hierarchical relationships by pattern matching in dictionaries
FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
Corpus-Driven hyponym acquisition for turkish language
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
Web 2.0, Language Resources and standards to automatically build a multilingual Named Entity Lexicon
Language Resources and Evaluation
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This paper shows how dictionary word sense definitions can be analysed by applying a hierarchy of phrasal patterns. An experimental system embodying this mechanism has been implemented for processing definitions from the Longman Dictionary of Contemporary English. A property of this dictionary, exploited by the system, is that it uses a restricted vocabulary in its word sense definitions. The structures generated by the experimental system are intended to be used for the classification of new word senses in terms of the senses of words in the restricted vocabulary. Examples illustrating the output generated are presented, and some qualitative performance results and problems that were encountered are discussed. The analysis process applies successively more specific phrasal analysis rules as determined by a hierarchy of patterns in which less specific patterns dominate more specific ones. This ensures that reasonable incomplete analyses of the definitions are produced when more complete analyses are not possible, resulting in a relatively robust analysis mechanism. Thus the work reported addresses two robustness problems faced by current experimental natural language processing systems: coping with an incomplete lexicon and with incomplete knowledge of phrasal constructions.