Generating Explanations for Complex Biomedical Queries

Öztok, Umut; Erdem, Esra

doi:10.1609/aaai.v25i1.8055

Cited by 2 publications

(1 citation statement)

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“…(we refer the reader to Chapter 3 of Erdem and Yeniterzi 2009 for more queries). Later on, BIOQUERYCNL was also used as a basis to generate explanation of complex queries ( Öztok and Erdem 2011). The main difference with our approach is that CNL2ASP does not cover query answering and is not specialized on one particular application context.…”

Section: Usabilitymentioning

confidence: 99%

CNL2ASP: Converting Controlled Natural Language Sentences into ASP

CARUSO,

DODARO,

MARATEA

et al. 2023

Theory and Practice of Logic Programming

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Answer set programming (ASP) is a popular declarative programming language for solving hard combinatorial problems. Although ASP has gained widespread acceptance in academic and industrial contexts, there are certain user groups who may find it more advantageous to employ a higher-level language that closely resembles natural language when specifying ASP programs. In this paper, we propose a novel tool, called CNL2ASP, for translating English sentences expressed in a controlled natural language (CNL) form into ASP. In particular, we first provide a definition of the type of sentences allowed by our CNL and their translation as ASP rules and then exemplify the usage of the CNL for the specification of both synthetic and real-world combinatorial problems. Finally, we report the results of an experimental analysis conducted on the real-world problems to compare the performance of automatically generated encodings with the ones written by ASP practitioners, showing that our tool can obtain satisfactory performance on these benchmarks.

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Section: Usabilitymentioning

confidence: 99%