Disambiguating Prepositional Phrase Attachments by Using On-Line Dictionary Definitions
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Summary
A set of computational tools and techniques used to disambiguate prepositional phrase attachments in English sentences, by accessing on-line dictionary definitions, offer hope for eliminating the time-consuming hand coding of semantic information that has been conventional in natural language understanding systems.
- Type
- article
- Published
- 1987-07-01
- Cited by
- 119
- References
- 26
- OpenAlex
- https://openalex.org/W1794966349
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:11894359
Keywords
Computer science, Ambiguity, Natural language processing, Artificial intelligence, Phrase
References
- Dynamically Combining Syntax and Semantics in Natural Language Processing
- An intelligent analyzer and understander of English
- Augmented Phrase Structure Grammars
- Are There Preference Trade-offs in Attachment Decisions?
- Using Commonsense Knowledge to Disambiguate Prepositional Phrase Modifiers
- Computer-based medical consultations, MYCIN
- Semantically Significant Patterns in Dictionary Definitions
- SABA: vers un système portable d'analyse du français écrit
Cited by
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- Metaphor as an Emergent Property of Machine-Readable Dictionaries
- Structural Ambiguity and Conceptual Relations
- GUIDELINES ON GEOGRAPHIC ONTOLOGY INTEGRATION
- EXTRACTING KNOWLEDGE BASES FROM MACHINE- READABLE DICTIONARIES : HAVE WE WASTED OUR TIME?
- Locations in the machine translation of prepositional phrases
- Automatically Deriving Structured Knowledge Bases From On-Line Dictionaries
- Combining Dictionary-Based and Example-Based Methods for Natural Language Analysis
- Unsupervised Name Disambiguation via Social Network Similarity
- Words and Intelligence II
- As ambiguidades linguísticas no inglês e a tradução automática inglês-português: um estudo exploratório
- Prepositional Phrase Attachment Problem Revisited: how Verbnet can Help
- Word Sense Disambiguation: The State of the Art
- MACHINE READABLE DICTIONARIES: WHAT HAVE WE LEARNED, WHERE DO WE GO?
- Selection and information: a class-based approach to lexical relationships
- Learning and generalization in the creation of information extraction systems
- Ambiguity in the Acquisition of Lexical Information
- Mining Event - Based Commonsense Knowledge from Web using NLP Techniques
- Designing Statistical Language Learners: Experiments on Noun Compounds
- Attaching Multiple Prepositional Phrases: Generalized Backed-off Estimation
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