The Problem of Coherence in Natural Language Explanations of Recommendations

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10476181" target="_blank" >RIV/00216208:11320/23:10476181 - isvavai.cz</a>

Result on the web

<a href="https://ebooks.iospress.nl/volumearticle/64414" target="_blank" >https://ebooks.iospress.nl/volumearticle/64414</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3233/FAIA230482" target="_blank" >10.3233/FAIA230482</a>

Result language

angličtina

Original language name

The Problem of Coherence in Natural Language Explanations of Recommendations

Original language description

Providing natural language explanations for recommendations is particularly useful from the perspective of a non-expert user. Although several methods for providing such explanations have recently been proposed, we argue that an important aspect of explanation quality has been overlooked in their experimental evaluation. Specifically, the coherence between generated text and predicted rating, which is a necessary condition for an explanation to be useful, is not properly captured by currently used evaluation measures. In this paper, we highlight the issue of explanation and prediction coherence by 1) presenting results from a manual verification of explanations generated by one of the state-of-the-art approaches 2) proposing a method of automatic coherence evaluation 3) introducing a new transformer-based method that aims to produce more coherent explanations than the state-of-the-art approaches 4) performing an experimental evaluation which demonstrates that this method significantly improves the explanation coherence without affecting the other aspects of recommendation performance.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

R - Projekt Ramcoveho programu EK

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

26th European Conference on Artificial Intelligence ECAI 2023

ISBN

978-1-64368-436-9

ISSN

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e-ISSN

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Number of pages

8

Pages from-to

1922-1929

Publisher name

IOS Press BV

Place of publication

Amsterdam, Netherlands

Event location

Kraków, Poland

Event date

Sep 30, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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