A semantic concordance
George A. Miller,Claudia Leacock,Randee Tengi,Bunker Ross Thomas +3 more
- pp 303-308
TLDR
A semantic concordance is a textual corpus and a lexicon so combined that every substantive word in the text is linked to its appropriate sense in the lexicon.Abstract:
A semantic concordance is a textual corpus and a lexicon so combined that every substantive word in the text is linked to its appropriate sense in the lexicon. Thus it can be viewed either as a corpus in which words have been tagged syntactically and semantically, or as a lexicon in which example sentences can be found for many definitions. A semantic concordance is being constructed to use in studies of sense resolution in context (semantic disambiguation). The Brown Corpus is the text and WordNet is the lexicon. Semantic tags (pointers to WordNet synsets) are inserted in the text manually using an interface, ConText, that was designed to facilitate the task. Another interface supports searches of the tagged text. Some practical uses for semantic concordances am proposed.read more
Citations
More filters
Journal ArticleDOI
WordNet: a lexical database for English
TL;DR: WordNet1 provides a more effective combination of traditional lexicographic information and modern computing, and is an online lexical database designed for use under program control.
Book
Speech and Language Processing
Dan Jurafsky,James Martin +1 more
TL;DR: It is now clear that HAL's creator, Arthur C. Clarke, was a little optimistic in predicting when an artificial agent such as HAL would be avail-able as discussed by the authors.
Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy
Jay J. Jiang,David W. Conrath +1 more
TL;DR: This paper presents a new approach for measuring semantic similarity/distance between words and concepts that combines a lexical taxonomy structure with corpus statistical information so that the semantic distance between nodes in the semantic space constructed by the taxonomy can be better quantified with the computational evidence derived from a distributional analysis of corpus data.
Journal ArticleDOI
From frequency to meaning: vector space models of semantics
Peter D. Turney,Patrick Pantel +1 more
TL;DR: The goal in this survey is to show the breadth of applications of VSMs for semantics, to provide a new perspective on VSMs, and to provide pointers into the literature for those who are less familiar with the field.
Proceedings ArticleDOI
Cheap and Fast -- But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks
TL;DR: This work explores the use of Amazon's Mechanical Turk system, a significantly cheaper and faster method for collecting annotations from a broad base of paid non-expert contributors over the Web, and proposes a technique for bias correction that significantly improves annotation quality on two tasks.
References
More filters
Book
Computational analysis of present-day American English
Henry Kučera,W. Nelson Francis,W. F. Twaddell,Mary Lois Marckworth,Laura M. Bell,John Bissell Carroll +5 more
Journal ArticleDOI
Introduction to WordNet: An On-line Lexical Database
TL;DR: Standard alphabetical procedures for organizing lexical information put together words that are spelled alike and scatter words with similar or related meanings haphazardly through the list.
Proceedings ArticleDOI
A Simple Rule-Based Part of Speech Tagger
TL;DR: This work presents a simple rule-based part of speech tagger which automatically acquires its rules and tags with accuracy comparable to stochastic taggers, demonstrating that the stochastics method is not the only viable method for part ofspeech tagging.
Book
Dictionaries: The Art and Craft of Lexicography
TL;DR: This book discusses lexicography from Johnson (1755) to the present, and discusses legal and ethical issues, and key elements of dictionaries and other language references.