Implementing Natural Language Inference for comparatives

This paper presents a computational framework for Natural Language Inference (NLI) using logic-based semantic representations and theorem-proving. We focus on logical inferences with comparatives and other related constructions in English, which are known for their structural complexity and difficu...

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Main Authors: Izumi Haruta, Koji Mineshima, Daisuke Bekki
Format: Article
Language:English
Published: Institute of Computer Science, Polish Academy of Sciences 2023-01-01
Series:Journal of Language Modelling
Subjects:
Online Access:https://jlm.ipipan.waw.pl/index.php/JLM/article/view/294
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author Izumi Haruta
Koji Mineshima
Daisuke Bekki
author_facet Izumi Haruta
Koji Mineshima
Daisuke Bekki
author_sort Izumi Haruta
collection DOAJ
description This paper presents a computational framework for Natural Language Inference (NLI) using logic-based semantic representations and theorem-proving. We focus on logical inferences with comparatives and other related constructions in English, which are known for their structural complexity and difficulty in performing efficient reasoning. Using the so-called A-not-A analysis of comparatives, we implement a fully automated system to map various comparative constructions to semantic representations in typed first-order logic via Combinatory Categorial Grammar parsers and to prove entailment relations via a theorem prover. We evaluate the system on a variety of NLI benchmarks that contain challenging inferences, in comparison with other recent logic-based systems and neural NLI models.
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spelling doaj.art-bd49152afabd40428b8aef9573d721cf2023-01-08T16:13:01ZengInstitute of Computer Science, Polish Academy of SciencesJournal of Language Modelling2299-856X2299-84702023-01-0110110.15398/jlm.v10i1.294Implementing Natural Language Inference for comparativesIzumi Haruta0Koji Mineshima1Daisuke Bekki2Ochanomizu University, JapanKeio University, JapanOchanomizu University, Japan This paper presents a computational framework for Natural Language Inference (NLI) using logic-based semantic representations and theorem-proving. We focus on logical inferences with comparatives and other related constructions in English, which are known for their structural complexity and difficulty in performing efficient reasoning. Using the so-called A-not-A analysis of comparatives, we implement a fully automated system to map various comparative constructions to semantic representations in typed first-order logic via Combinatory Categorial Grammar parsers and to prove entailment relations via a theorem prover. We evaluate the system on a variety of NLI benchmarks that contain challenging inferences, in comparison with other recent logic-based systems and neural NLI models. https://jlm.ipipan.waw.pl/index.php/JLM/article/view/294comparativescompositional semanticstheorem provingCombinatory Categorial GrammarNatural Language Inference
spellingShingle Izumi Haruta
Koji Mineshima
Daisuke Bekki
Implementing Natural Language Inference for comparatives
Journal of Language Modelling
comparatives
compositional semantics
theorem proving
Combinatory Categorial Grammar
Natural Language Inference
title Implementing Natural Language Inference for comparatives
title_full Implementing Natural Language Inference for comparatives
title_fullStr Implementing Natural Language Inference for comparatives
title_full_unstemmed Implementing Natural Language Inference for comparatives
title_short Implementing Natural Language Inference for comparatives
title_sort implementing natural language inference for comparatives
topic comparatives
compositional semantics
theorem proving
Combinatory Categorial Grammar
Natural Language Inference
url https://jlm.ipipan.waw.pl/index.php/JLM/article/view/294
work_keys_str_mv AT izumiharuta implementingnaturallanguageinferenceforcomparatives
AT kojimineshima implementingnaturallanguageinferenceforcomparatives
AT daisukebekki implementingnaturallanguageinferenceforcomparatives