Search Results for author: Roberto Zamparelli

Found 10 papers, 2 papers with code

SemEval-2022 Task 3: PreTENS-Evaluating Neural Networks on Presuppositional Semantic Knowledge

no code implementations SemEval (NAACL) 2022 Roberto Zamparelli, Shammur Chowdhury, Dominique Brunato, Cristiano Chesi, Felice Dell’Orletta, Md. Arid Hasan, Giulia Venturi

We report the results of the SemEval 2022 Task 3, PreTENS, on evaluation the acceptability of simple sentences containing constructions whose two arguments are presupposed to be or not to be in an ordered taxonomic relation.

Data Augmentation

Multilingualism Encourages Recursion: a Transfer Study with mBERT

no code implementations NAACL (SIGTYP) 2022 Andrea De Varda, Roberto Zamparelli

We showed that while both models were favoured by a Zipfian distribution of the tokens and by the presence of head-dependency type structures, the multilingual transformer network exhibited a stronger reliance on hierarchical cues compared to its monolingual counterpart.

An LSTM Adaptation Study of (Un)grammaticality

1 code implementation WS 2019 Shammur Absar Chowdhury, Roberto Zamparelli

We propose a novel approach to the study of how artificial neural network perceive the distinction between grammatical and ungrammatical sentences, a crucial task in the growing field of synthetic linguistics.

CoLA Language Modelling

RNN Simulations of Grammaticality Judgments on Long-distance Dependencies

1 code implementation COLING 2018 Shammur Absar Chowdhury, Roberto Zamparelli

The paper explores the ability of LSTM networks trained on a language modeling task to detect linguistic structures which are ungrammatical due to extraction violations (extra arguments and subject-relative clause island violations), and considers its implications for the debate on language innatism.

Language Modelling

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