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The assin 2 shared task: a quick overview
L Real, E Fonseca, H Gonçalo Oliveira - … 2020, Evora, Portugal, March 2–4 …, 2020 - Springer
This paper offers a brief overview on the ASSIN 2, an evaluation shared task collocated with
STIL 2019. ASSIN 2 covered two different but related tasks: Recognizing Textual Entailment …
STIL 2019. ASSIN 2 covered two different but related tasks: Recognizing Textual Entailment …
Compositional evaluation on Japanese textual entailment and similarity
H Yanaka, K Mineshima - Transactions of the Association for …, 2022 - direct.mit.edu
Abstract Natural Language Inference (NLI) and Semantic Textual Similarity (STS) are widely
used benchmark tasks for compositional evaluation of pre-trained language models. Despite …
used benchmark tasks for compositional evaluation of pre-trained language models. Despite …
SICKNL: a dataset for Dutch natural language inference
G Wijnholds, M Moortgat - arxiv preprint arxiv:2101.05716, 2021 - arxiv.org
We present SICK-NL (read: signal), a dataset targeting Natural Language Inference in
Dutch. SICK-NL is obtained by translating the SICK dataset of Marelli et al.(2014) from …
Dutch. SICK-NL is obtained by translating the SICK dataset of Marelli et al.(2014) from …
Jurisbert: a new approach that converts a classification corpus into an STS one
CFO Viegas, BC Costa, RP Ishii - International Conference on …, 2023 - Springer
We propose in this work a new approach that aims to transform a classification corpus into
an STS (Semantic Textual Similarity) one. In that sense, we use BERT (Bidirectional …
an STS (Semantic Textual Similarity) one. In that sense, we use BERT (Bidirectional …
ArEntail: manually-curated Arabic natural language inference dataset from news headlines
Natural language inference (NLI), also known as textual entailment recognition (TER), is a
crucial task in natural language processing that combines many fundamental aspects of …
crucial task in natural language processing that combines many fundamental aspects of …
Benchmarking procedural language understanding for low-resource languages: A case study on Turkish
A Uzunoglu, GG Şahin - arxiv preprint arxiv:2309.06698, 2023 - arxiv.org
Understanding procedural natural language (eg, step-by-step instructions) is a crucial step
to execution and planning. However, while there are ample corpora and downstream tasks …
to execution and planning. However, while there are ample corpora and downstream tasks …
JCSE: contrastive learning of japanese sentence embeddings and its applications
Z Chen, H Handa, K Shirahama - arxiv preprint arxiv:2301.08193, 2023 - arxiv.org
Contrastive learning is widely used for sentence representation learning. Despite this
prevalence, most studies have focused exclusively on English and few concern domain …
prevalence, most studies have focused exclusively on English and few concern domain …
Inferbr: A natural language inference dataset in portuguese
Abstract Natural Language Inference semantic concepts are central to all aspects of natural
language meaning. Portuguese has few NLI-annotated datasets created through automatic …
language meaning. Portuguese has few NLI-annotated datasets created through automatic …
Hybrid Models for Recognizing Indonesian Textual Entailment
A paragraph raises pertinent issues about linguistic disparities in understanding the
semantic relationships between sentences within the natural language processing domain …
semantic relationships between sentences within the natural language processing domain …
Benchmarking natural language inference and semantic textual similarity for portuguese
P Fialho, L Coheur, P Quaresma - Information, 2020 - mdpi.com
Two sentences can be related in many different ways. Distinct tasks in natural language
processing aim to identify different semantic relations between sentences. We developed …
processing aim to identify different semantic relations between sentences. We developed …