Semantic parser in the context of Automated reasoning


Semantic parser in the context of Automated reasoning

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⭐ Core Definition: Semantic parser

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 reasoning, and code generation. The phrase was first used in the 1970s by Yorick Wilks as the basis for machine translation programs working with only semantic representations. Semantic parsing is one of the important tasks in computational linguistics and natural language processing.

Semantic parsing maps text to formal meaningrepresentations. This contrasts with semantic rolelabeling and otherforms of shallow semantic processing, which donot aim to produce complete formal meanings.In computer vision, semantic parsing is a process of segmentation for 3D objects.

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Semantic parser in the context of Discourse representation theory

In formal linguistics, discourse representation theory (DRT) is a framework for exploring meaning under a formal semantics approach. One of the main differences between DRT-style approaches and traditional Montagovian approaches is that DRT includes a level of abstract mental representations (discourse representation structures, DRS) within its formalism, which gives it an intrinsic ability to handle meaning across sentence boundaries. DRT was created by Hans Kamp in 1981. A very similar theory was developed independently by Irene Heim in 1982, under the name of File Change Semantics (FCS). Discourse representation theories have been used to implement semantic parsers and natural language understanding systems.

View the full Wikipedia page for Discourse representation theory
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