Generalized subsumption and its applications to induction and redundancy
Artificial Intelligence
Automatic text processing
Query expansion using lexical-semantic relations
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Natural language information retrieval
TREC-2 Proceedings of the second conference on Text retrieval conference
Semantic feature extraction from technical texts with limited human intervention
Semantic feature extraction from technical texts with limited human intervention
Explorations in Automatic Thesaurus Discovery
Explorations in Automatic Thesaurus Discovery
Learning Logical Definitions from Relations
Machine Learning
Connectionist, Statistical, and Symbolic Approaches to Learning for Natural Language Processing
Connectionist, Statistical, and Symbolic Approaches to Learning for Natural Language Processing
Natural Ideal Operators in Inductive Logic Programming
ECML '97 Proceedings of the 9th European Conference on Machine Learning
Avoiding Non-Termination when Learning Logical Programs: A Case Study with FOIL and FOCL
LOPSTR '94/META '94 Proceedings of the 4th International Workshops on Logic Programming Synthesis and Transformation - Meta-Programming in Logic
Lexical semantic techniques for corpus analysis
Computational Linguistics - Special issue on using large corpora: II
Automatic extraction of subcategorization from corpora
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
MULTEXT: Multilingual Text Tools and Corpora
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Inductive logic programming for corpus-based acquisition of semantic lexicons
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Least generalizations and greatest specializations of sets of clauses
Journal of Artificial Intelligence Research
A study of cross-validation and bootstrap for accuracy estimation and model selection
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Automatically learning qualia structures from the web
DeepLA '05 Proceedings of the ACL-SIGLEX Workshop on Deep Lexical Acquisition
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This paper describes an inductive logic programming learning method designed to acquire from a corpus specific Noun-Verb (N-V) pairs---relevant in information retrieval applications to perform index expansion---in order to build up semantic lexicons based on Pustejovsky's generative lexicon (GL) principles (Pustejovsky, 1995). In one of the components of this lexical model, called the qualia structure, words are described in terms of semantic roles. For example, the telic role indicates the purpose or function of an item (cut for knife), the agentive role its creation mode (build for house), etc. The qualia structure of a noun is mainly made up of verbal associations, encoding relational information. The learning method enables us to automatically extract, from a morpho-syntactically and semantically tagged corpus, N-V pairs whose elements are linked by one of the semantic relations defined in the qualia structure in GL. It also infers rules explaining what in the surrounding context distinguishes such pairs from others also found in sentences of the corpus but which are not relevant. Stress is put here on the learning efficiency that is required to be able to deal with all the available contextual information, and to produce linguistically meaningful rules.