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        <title>BLM-It - Blackbird Language Matrices for Italian: A CALAMITA Challenge</title>
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        <namePart type="given">Chunyang</namePart>
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    <abstract>In this challenge, we propose Blackbird Language Matrices (BLMs), linguistic puzzles to learn language-related problems and delve into deeper formal and semantic properties of language, through a process of paradigm understanding. A BLM matrix consists of a context set and an answer set. The context is a sequence of sentences that encode implicitly an underlying generative linguistic rule. The contrastive multiple-choice answer set includes negative examples following corrupted generating rules. We propose three subtasks —agreement concord, causative and object-drop alternation detection— each in two variants of increasing lexical complexity.The datasets comprise a few prompts for few-shot learning and a large test set.</abstract>
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%0 Conference Proceedings
%T BLM-It - Blackbird Language Matrices for Italian: A CALAMITA Challenge
%A Jiang, Chunyang
%A Samo, Giuseppe
%A Nastase, Vivi
%A Merlo, Paola
%Y Dell’Orletta, Felice
%Y Lenci, Alessandro
%Y Montemagni, Simonetta
%Y Sprugnoli, Rachele
%S Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024)
%D 2024
%8 December
%I CEUR Workshop Proceedings
%C Pisa, Italy
%@ 979-12-210-7060-6
%F jiang-etal-2024-blm
%X In this challenge, we propose Blackbird Language Matrices (BLMs), linguistic puzzles to learn language-related problems and delve into deeper formal and semantic properties of language, through a process of paradigm understanding. A BLM matrix consists of a context set and an answer set. The context is a sequence of sentences that encode implicitly an underlying generative linguistic rule. The contrastive multiple-choice answer set includes negative examples following corrupted generating rules. We propose three subtasks —agreement concord, causative and object-drop alternation detection— each in two variants of increasing lexical complexity.The datasets comprise a few prompts for few-shot learning and a large test set.
%U https://aclanthology.org/2024.clicit-1.125/
%P 1135-1143

Markdown (Informal)

[BLM-It - Blackbird Language Matrices for Italian: A CALAMITA Challenge](https://aclanthology.org/2024.clicit-1.125/) (Jiang et al., CLiC-it 2024)

• BLM-It - Blackbird Language Matrices for Italian: A CALAMITA Challenge (Jiang et al., CLiC-it 2024)

ACL

• Chunyang Jiang, Giuseppe Samo, Vivi Nastase, and Paola Merlo. 2024. BLM-It - Blackbird Language Matrices for Italian: A CALAMITA Challenge. In Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024), pages 1135–1143, Pisa, Italy. CEUR Workshop Proceedings.