NLP tasks
32 methods in this family.
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Aspect-Based Sentiment AnalysisAspect-based sentiment analysis (ABSA) is a fine-grained natural-language-processing task that detects sentiment separately for each aspect or feature mentioned in a text — such asChunkingChunking, also called shallow parsing, is a natural-language-processing task introduced by Steven Abney in 1991 that divides text into grammatical pieces — such as noun phrases andConstituency ParsingConstituency parsing is a natural-language-processing task that represents a sentence as a tree of recursively nested phrase-structure constituents — for example S → NP + VP. BuildDependency ParsingDependency parsing is a natural-language-processing task that reveals the syntactic dependency relations between the words of a sentence as a tree structure. Surveyed in the dependDialogue Act ClassificationDialogue act classification is a natural-language-processing task that automatically labels the communicative function of each utterance in a conversation — such as question, answeDiscourse ParsingDiscourse parsing is a natural-language-processing task that models the rhetorical relations between sentences and paragraphs of a text — relations such as cause, contrast, and ela
All methods 32
Aspect-Based Sentiment AnalysisChunkingConstituency ParsingDependency ParsingDialogue Act ClassificationDiscourse ParsingEmotion DetectionEntity LinkingFake News DetectionFew-Shot Text ClassificationFrame AnalysisImplicit Sentiment AnalysisIntent DetectionLexicon-Based Sentiment AnalysisMachine Reading ComprehensionMachine TranslationMulti-Document SummarizationNamed Entity RecognitionOpinion MiningPOS TaggingQuestion AnsweringSemantic ParsingSemantic Role LabelingSentiment AnalysisStance DetectionStructured Text ExtractionSubjectivity DetectionTemporal Expression ExtractionText ClassificationText SummarizationWord Sense DisambiguationZero-Shot Classification