TY - JOUR
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
N1 - Publisher Copyright:
© 2020 for this paper by its authors.
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 - http://www.scopus.com/inward/record.url?scp=85082673024&partnerID=8YFLogxK
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 -