Defining And Detecting Inconsistent System Behavior in Task-oriented Dialogues

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10440577" target="_blank" >RIV/00216208:11320/21:10440577 - isvavai.cz</a>

Result on the web

<a href="https://aclanthology.org/2021.jeptalnrecital-taln.13" target="_blank" >https://aclanthology.org/2021.jeptalnrecital-taln.13</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Defining And Detecting Inconsistent System Behavior in Task-oriented Dialogues

Original language description

We present experiments on automatically detecting inconsistent behavior of task-oriented dialogue systems from the context. We enrich the bAbI/DSTC2 data (Bordes et al., 2017) with automatic annotation of dialogue inconsistencies, and we demonstrate that inconsistencies correlate with failed dialogues. We hypothesize that using a limited dialogue history and predicting the next user turn can improve inconsistency classification. While both hypotheses are confirmed for a memory-networks-based dialogue model, it does not hold for a training based on the GPT-2 language model, which benefits most from using full dialogue history and achieves a 0.99 accuracy score.

Czech name

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Czech description

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Type

O - Miscellaneous

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

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Continuities

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

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