Dominique Brunato


2020

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Profiling-UD: a Tool for Linguistic Profiling of Texts
Dominique Brunato | Andrea Cimino | Felice Dell’Orletta | Giulia Venturi | Simonetta Montemagni
Proceedings of the 12th Language Resources and Evaluation Conference

In this paper, we introduce Profiling–UD, a new text analysis tool inspired to the principles of linguistic profiling that can support language variation research from different perspectives. It allows the extraction of more than 130 features, spanning across different levels of linguistic description. Beyond the large number of features that can be monitored, a main novelty of Profiling–UD is that it has been specifically devised to be multilingual since it is based on the Universal Dependencies framework. In the second part of the paper, we demonstrate the effectiveness of these features in a number of theoretical and applicative studies in which they were successfully used for text and author profiling.

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Tracking the Evolution of Written Language Competence in L2 Spanish Learners
Alessio Miaschi | Sam Davidson | Dominique Brunato | Felice Dell’Orletta | Kenji Sagae | Claudia Helena Sanchez-Gutierrez | Giulia Venturi
Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications

In this paper we present an NLP-based approach for tracking the evolution of written language competence in L2 Spanish learners using a wide range of linguistic features automatically extracted from students’ written productions. Beyond reporting classification results for different scenarios, we explore the connection between the most predictive features and the teaching curriculum, finding that our set of linguistic features often reflect the explicit instructions that students receive during each course.

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Linguistic Profiling of a Neural Language Model
Alessio Miaschi | Dominique Brunato | Felice Dell’Orletta | Giulia Venturi
Proceedings of the 28th International Conference on Computational Linguistics

In this paper we investigate the linguistic knowledge learned by a Neural Language Model (NLM) before and after a fine-tuning process and how this knowledge affects its predictions during several classification problems. We use a wide set of probing tasks, each of which corresponds to a distinct sentence-level feature extracted from different levels of linguistic annotation. We show that BERT is able to encode a wide range of linguistic characteristics, but it tends to lose this information when trained on specific downstream tasks. We also find that BERT’s capacity to encode different kind of linguistic properties has a positive influence on its predictions: the more it stores readable linguistic information of a sentence, the higher will be its capacity of predicting the expected label assigned to that sentence.

2018

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Is this Sentence Difficult? Do you Agree?
Dominique Brunato | Lorenzo De Mattei | Felice Dell’Orletta | Benedetta Iavarone | Giulia Venturi
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

In this paper, we present a crowdsourcing-based approach to model the human perception of sentence complexity. We collect a large corpus of sentences rated with judgments of complexity for two typologically-different languages, Italian and English. We test our approach in two experimental scenarios aimed to investigate the contribution of a wide set of lexical, morpho-syntactic and syntactic phenomena in predicting i) the degree of agreement among annotators independently from the assigned judgment and ii) the perception of sentence complexity.

2017

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On the order of Words in Italian: a Study on Genre vs Complexity
Dominique Brunato | Felice Dell’Orletta
Proceedings of the Fourth International Conference on Dependency Linguistics (Depling 2017)

2016

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PaCCSS-IT: A Parallel Corpus of Complex-Simple Sentences for Automatic Text Simplification
Dominique Brunato | Andrea Cimino | Felice Dell’Orletta | Giulia Venturi
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

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Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity (CL4LC)
Dominique Brunato | Felice Dell’Orletta | Giulia Venturi | Thomas François | Philippe Blache
Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity (CL4LC)

2015

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Design and Annotation of the First Italian Corpus for Text Simplification
Dominique Brunato | Felice Dell’Orletta | Giulia Venturi | Simonetta Montemagni
Proceedings of The 9th Linguistic Annotation Workshop