NILC at ASSIN 2: Exploring multilingual approaches

Marco A.Sobrevilla Cabezudo; Marcio Inácio; Ana Carolina Rodrigues; Edresson Casanova; Rogério Figueredo De Sousa

NILC at ASSIN 2: Exploring multilingual approaches

Marco A.Sobrevilla Cabezudo, Marcio Inácio, Ana Carolina Rodrigues, Edresson Casanova, Rogério Figueredo De Sousa

Universidade de São Paulo

Producción científica: Contribución a una revista › Artículo de la conferencia › revisión exhaustiva

Resumen

Recognizing Textual Entailment, also known as Natural Language Inference recognition, aims to identify if it is possible to infer the meaning of a text from another fragment of text. In this work, we investigate the use of multilingual models, through BERT, for recognizing inference and similarity in the ASSIN 2 dataset, an entailment recognition and sentence similarity corpus for Portuguese. We also investigate possible features that could enhance the results, such as similarity scores or WordNet relations. Our results show that a multilingual pre-trained BERT model may be su.

Idioma original	Inglés
Páginas (desde-hasta)	48-57
Número de páginas	10
Publicación	CEUR Workshop Proceedings
Volumen	2583
Estado	Publicada - 2020
Publicado de forma externa	Sí
Evento	2nd ASSIN Shared Task: Evaluating Semantic Textual Similarity and Textual Entailment in Portuguese, ASSIN 2019 - Salvador, Brasil Duración: 15 oct. 2019 → …

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title = "NILC at ASSIN 2: Exploring multilingual approaches",

abstract = "Recognizing Textual Entailment, also known as Natural Language Inference recognition, aims to identify if it is possible to infer the meaning of a text from another fragment of text. In this work, we investigate the use of multilingual models, through BERT, for recognizing inference and similarity in the ASSIN 2 dataset, an entailment recognition and sentence similarity corpus for Portuguese. We also investigate possible features that could enhance the results, such as similarity scores or WordNet relations. Our results show that a multilingual pre-trained BERT model may be su.",

keywords = "BERT, Cross-lingual Training, Multilingual Training, Natural Language Inference",

author = "Cabezudo, \{Marco A.Sobrevilla\} and Marcio In{\'a}cio and Rodrigues, \{Ana Carolina\} and Edresson Casanova and \{De Sousa\}, \{Rog{\'e}rio Figueredo\}",

note = "Publisher Copyright: {\textcopyright} 2020 for this paper by its authors.; 2nd ASSIN Shared Task: Evaluating Semantic Textual Similarity and Textual Entailment in Portuguese, ASSIN 2019 ; Conference date: 15-10-2019",

year = "2020",

language = "English",

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T1 - NILC at ASSIN 2

T2 - 2nd ASSIN Shared Task: Evaluating Semantic Textual Similarity and Textual Entailment in Portuguese, ASSIN 2019

AU - Cabezudo, Marco A.Sobrevilla

AU - Inácio, Marcio

AU - Rodrigues, Ana Carolina

AU - Casanova, Edresson

AU - De Sousa, Rogério Figueredo

PY - 2020

Y1 - 2020

N2 - Recognizing Textual Entailment, also known as Natural Language Inference recognition, aims to identify if it is possible to infer the meaning of a text from another fragment of text. In this work, we investigate the use of multilingual models, through BERT, for recognizing inference and similarity in the ASSIN 2 dataset, an entailment recognition and sentence similarity corpus for Portuguese. We also investigate possible features that could enhance the results, such as similarity scores or WordNet relations. Our results show that a multilingual pre-trained BERT model may be su.

AB - Recognizing Textual Entailment, also known as Natural Language Inference recognition, aims to identify if it is possible to infer the meaning of a text from another fragment of text. In this work, we investigate the use of multilingual models, through BERT, for recognizing inference and similarity in the ASSIN 2 dataset, an entailment recognition and sentence similarity corpus for Portuguese. We also investigate possible features that could enhance the results, such as similarity scores or WordNet relations. Our results show that a multilingual pre-trained BERT model may be su.

KW - BERT

KW - Cross-lingual Training

KW - Multilingual Training

KW - Natural Language Inference

UR - https://www.scopus.com/pages/publications/85082673024

M3 - Conference article

AN - SCOPUS:85082673024

SN - 1613-0073

VL - 2583

SP - 48

EP - 57

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

Y2 - 15 October 2019

ER -

NILC at ASSIN 2: Exploring multilingual approaches

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