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Semantic parsing

Semantic parsing is the task of converting a natural language utterance to a logical form: a machine-understandable representation of its meaning. Semantic parsing can thus be understood as extracting the precise meaning of an utterance. Applications of semantic parsing include machine translation, question answering, ontology induction, automated…

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Map overview Semantic statistics

Semantic parsing

Nodes53
Edges52
Triples99
Avg. degree1.96
Density0.037736
Components1

How this topic connects Entity context

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Semantic parsing

Top relations

related to Application Areas · 24
Semantic parsing → Business, Chatbots, Command, Content Categorization, Control Systems, Examples, Found, Healthcare Informatics, Helps, IBM Watson, Information Retrieval, It, Legal, Machine Translation, NLP, Question Answering Systems, Semantic, Technologies, Text Analytics, They
related to Question answering · 23
Semantic parsing → Air Travel Information System, Amazon, Another, AS, ATIS, Blue, CSQA, DCS, GeoQuery, Google, Microsoft, One, Prolog, Recently, Shown, SP, SPARQL, SPICE, SQL, T1
related to Neural Semantic Parsing · 11
Semantic parsing → CCG, Natural Language Processing, Neural Semantic Parsing, NLP, NMT-style, Nonetheless, Semantic, Since Neural, The, Though Semantic, We'll
related to history · 10
Semantic parsing → Early, However, In, Intermediate, Neural, Not, SCFGs, Seq2Seq, The, This
related to Deep Semantic Parsing · 9
Semantic parsing → Boston, Dallas, Deep, However, Juneau, Large Language Models, Nowadays, SCAN, Shallow
related to Shallow Semantic Parsing · 6
Semantic parsing → Amazon Alexa, Popular, RNNs, Shallow, Slot-filling, This
is a · 3
Semantic parsing → Air Travel Information System, process of segmentation for 3D objects, task of converting a natural language utterance to a logical form
related to Datasets · 1
Semantic parsing → Datasets

Important terminology Word statistics

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Important terminology

semantic parsing language meaning used natural representation neural answering question representations processing formal models generation shallow utterance like code semantics

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Semantic parsingis atask of converting a natural language utterance to a logical form0.90text
Semantic parsingis aprocess of segmentation for 3D objects0.90text
Semantic parsingis aAir Travel Information System0.90text
SCFGsinstance ofparticularly general grammars0.80text
SCAN.Neural Semantic ParsingSemantic parsers play a crucial role in natural language understanding systems because they transform natural language utterances into machine-executable logical structures or programmesinstance ofcompositional semantic parsing are using Large Language Models to solve artificial compositional generalization tasks0.80text
SCANinstance ofcompositional semantic parsing are using Large Language Models to solve artificial compositional generalization tasks0.80text
smart speakersinstance ofSemantic parsing enhances the quality of user interaction in devices0.80text
chatbots for customer service by comprehendinginstance ofSemantic parsing enhances the quality of user interaction in devices0.80text
answering user inquiries in natural language.Information Retrievalinstance ofSemantic parsing enhances the quality of user interaction in devices0.80text
IBM Watsoninstance ofFound in systems0.80text
these systems assist in comprehendinginstance ofFound in systems0.80text
analyzing natural language queries in order to deliver precise responsesinstance ofFound in systems0.80text

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    Min side: 3
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