Word-level Analysis Task
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A Word-level Analysis Task is a Linguistic Analysis Task that requires inferences about the Word Mentions in a Linguistic Expression.
- AKA: Word-level Analysis, Bag-of-Words Analysis.
- Context:
- Input: A Linguistic Expression.
- output: Information about the Word Mentions (or Target Word Mention) in the Linguistic Expression.
- It can be solved by a Word-level Analysis System (that implements a Word-level Analysis algorithm).
- Example(s):
- a Word-level Syntactic Analysis Task.
- a Part-of-Speech Tagging Task, requires a POS Label on each Word.
- a Morphological Parsing Task, e.g. MPT("[Dogs] are mammals”) ⇒ (Stem dog] + Inflexional Suffix -s]
- a Technical Term Mention Recognition Task.
- a Word-level Semantic Analysis Task.
- a Word Mention Normalization Task.
- a Topic Modeling Task, requires the discovery of Topics in a Corpus, typically at the Word-level.
- a Word-Sense Disambiguation Task, requires a WSD Label on each Word.
- a Word Similarity Learning Task.
- …
- a Word-level Syntactic Analysis Task.
- Counter-Example(s):
- See: Morpheme, Lexeme, Lexical Analysis, Annotated Document.
References
2002
- (Nair & Rost, 2002) ⇒ Rajesh Nair, Burkhard Rost. (2002). “Inferring Sub-cellular Localization Through Automated Lexical Analysis." Bioinformatics, 18(90001) doi:10.1093/bioinformatics/18.suppl_1.S78
- QUOTE: We developed LOCkey, a fully automated method for lexical analysis of SWISS-PROT keywords that assigns sub-cellular localization.