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On the role of textual connectives in sentence comprehension: A new dataset for Italian

Conference Paper
Publication Date:
2021
abstract:
In this paper we present a new evaluation resource for Italian aimed at assessing the role of textual connectives in the comprehension of the meaning of a sentence. The resource is arranged in two sections (acceptability assessment and cloze test), each one corresponding to a distinct challenge task conceived to test how subtle modifications involving connectives in real usage sentences influence the perceived acceptability of the sentence by native speakers and Neural Language Models (NLMs). Although the main focus is the presentation of the dataset, we also provide some preliminary data comparing human judgments and NLMs performance in the two tasks.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
neural language models; textual connectives; sentence acceptability
List of contributors:
Miaschi, Alessio; Brunato, DOMINIQUE PIERINA
Authors of the University:
BRUNATO DOMINIQUE PIERINA
MIASCHI ALESSIO
Handle:
https://iris.cnr.it/handle/20.500.14243/440996
Published in:
CEUR WORKSHOP PROCEEDINGS
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URL

http://ceur-ws.org/Vol-3033/paper16.pdf
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