Work

Machine Comprehension of Text Using Combinatory Categorial Grammar and Answer Set Programs.

Year: 2017

Type: conference-paper

Abstract: We present an automated method for generating Answer Set Programs from narratives written in English and demonstrate how such a representation can be used to answer questions about text. The proposed approach relies on a transparent interface between the syntax and semantics of natural language provided by Combinatory Categorial Grammars to translate text into Answer Set Programs, hence creating a knowledge base that, together with background knowledge, can be queried.

Source: Spiral (Imperial College London)

Authors: Piotr Chabierski, Alessandra Russo, Mark Law, Krysia Broda

Language: English

Topic: Logic, Reasoning, and Knowledge

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2787127699

FWCI: 0.449

Cites: 17

Cited by: 5

Related to: 10