Word Sense Disambiguation¶
Navigli, R. (2009). Word Sense Disambiguation: A Survey. ACM Computing Surveys, 41(2), 1-10.
Cited by¶
3 citations across 3 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Context
- implicature, presupposition, and politeness are all context-relative, and word-sense disambiguation in NLP is the engineering form of the same problem.
This sourceSurveys the computational task of selecting a word's sense from context, the engineering form of context-dependence.
Supported in partVerified against the publisher's abstract
The survey's abstract establishes only that WSD is identifying a word's meaning from context computationally; it says nothing about indexicals, implicature, presupposition, or politeness, so it backs one clause of the sentence.
“Word sense disambiguation (WSD) is the ability to identify the meaning of words in context in a computational manner.”
- implicature, presupposition, and politeness are all context-relative, and word-sense disambiguation in NLP is the engineering form of the same problem.
- Polysemy
Domain-specific¶
Verification¶
Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.
Does it back the claim? Read against the text for 1 of 3 citations: 1 supported in part. Each verdict is shown under its citation below, with what in the work backs the sentence.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
See how references were verified.
Registry ID ref:bf20bc7badfe · see in the full table