Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Implementing a semantic interpreter using conceptual graphs
IBM Journal of Research and Development
Strategies in language acquisition: learning phrases in context
Strategies in language acquisition: learning phrases in context
Conceptual graphs for the analysis and generation of sentences
IBM Journal of Research and Development
Dynamic type hierarchies: an approach to knowledge representation through metaphor
Dynamic type hierarchies: an approach to knowledge representation through metaphor
Representation and control strategies for large knowledge domains: an application to NLP
Applied Artificial Intelligence
Language and Spatial Cognition
Language and Spatial Cognition
Efficient Parsing for Natural Language: A Fast Algorithm for Practical Systems
Efficient Parsing for Natural Language: A Fast Algorithm for Practical Systems
Using a Semantic Knowledge Base to Support a Natural Language Interface to a Text Database
Proceedings of the Seventh International Conference on Enity-Relationship Approach: A Bridge to the User
Computational Linguistics
A generative grammar approach for the morphologic and morphosyntactic analysis of Italian
EACL '87 Proceedings of the third conference on European chapter of the Association for Computational Linguistics
A structured representation of word-senses for semantic analysis
EACL '87 Proceedings of the third conference on European chapter of the Association for Computational Linguistics
Augmented phrase structure grammars
TINLAP '75 Proceedings of the 1975 workshop on Theoretical issues in natural language processing
Kind Types in knowledge representation
COLING '86 Proceedings of the 11th coference on Computational linguistics
PALKA: a system for lexical knowledge acquisition
CIKM '93 Proceedings of the second international conference on Information and knowledge management
Acquisition of Linguistic Patterns for Knowledge-Based Information Extraction
IEEE Transactions on Knowledge and Data Engineering
Automated knowledge acquisition from regulatory texts
IEEE Expert: Intelligent Systems and Their Applications
Computer aided interpretation of lexical cooccurrences
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
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In this paper we present a methodology and a program, PETRARCA, for the extensive acquisition of a case based semantic dictionary. The major limitation of existing NLP systems is a poor encoding of semantic knowledge; on the other side, it is unrealistic to assume a manual codification of word senses, including idiomatic expressions and metaphors.The system presented in this paper analyzes a large sample of sentences including a given word, and produces for that word one or more entries in the semantic dictionary (one entry for each word sense). Sentences are provided by an on-line corpus of press agency releases on finance and economics.In PETRARCA, a target word sense definition is represented by a detailed list of use-types, called surface semantic patterns (SSPs). SSPs mirror the way humans most naturally explain a new word sense; in fact, people tend to give associations related to words rather than to provide conceptual categories.To derive these associations, the system uses a high-coverage morphosyntactic analyzer, a catalogue of phrasal-patterns/semantic-interpretation pairs, and a set of selectional restriction rules on semantic interpretation types.This paper claims that surface semantics is a reasonable descriptive framework to build a working computer program for language processing. It is general, and makes it possible to establish in a systematic way the rules of semantic encoding. We believe this being a useful contribution towards a more complete system of language learning.