Search: hsv:(NATURVETENSKAP) hsv:(Data och informationsvetenskap Datateknik) >
Is Incoherence Surp...
Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models
-
Beyer, Anne (author)
-
- Loáiciga, Sharid (author)
- Gothenburg University,Göteborgs universitet,Institutionen för filosofi, lingvistik och vetenskapsteori,Department of Philosophy, Linguistics and Theory of Science
-
Schlangen, David (author)
-
(creator_code:org_t)
-
-
show more...
-
-
show less...
- Stroudsburg, PA, USA : Association for Computational Linguistics, 2021
- 2021
- English.
-
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, June 6 -11, 2021, Online. - Stroudsburg, PA, USA : Association for Computational Linguistics. - 9781954085466
- Related links:
-
https://www.aclweb.o...
-
show more...
-
https://gup.ub.gu.se...
-
https://doi.org/10.1...
-
show less...
Abstract
Subject headings
Close
- Coherent discourse is distinguished from a mere collection of utterances by the satisfaction of a diverse set of constraints, for example choice of expression, logical relation between denoted events, and implicit compatibility with world-knowledge. Do neural language models encode such constraints? We design an extendable set of test suites addressing different aspects of discourse and dialogue coherence. Unlike most previous coherence evaluation studies, we address specific linguistic devices beyond sentence order perturbations, which allow for a more fine-grained analysis of what constitutes coherence and what neural models trained on a language modelling objective are capable of encoding. Extending the targeted evaluation paradigm for neural language models (Marvin and Linzen, 2018) to phenomena beyond syntax, we show that this paradigm is equally suited to evaluate linguistic qualities that contribute to the notion of coherence.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap (Datateknik) (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Publication and Content Type
- ref (subject category)
- kon (subject category)
Find in a library
To the university's database