Results 11 to 20 of about 179,183 (295)
LV-BERT: Exploiting Layer Variety for BERT [PDF]
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021 Accepted to Findings of ACL 2021.
Weihao Yu 0001 +4 more
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BERT-ATTACK: Adversarial Attack Against BERT Using BERT [PDF]
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 Accepted by ...
Linyang Li +4 more
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BERT-hLSTMs: BERT and hierarchical LSTMs for visual storytelling [PDF]
Computer Speech & Language, 2021 Visual storytelling is a creative and challenging task, aiming to automatically generate a story-like description for a sequence of images. The descriptions generated by previous visual storytelling approaches lack coherence because they use word-level sequence generation methods and do not adequately consider sentence-level dependencies.
Jing Su 0006 +3 more
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A Lite Romanian BERT: ALR-BERT
Computers, 2022 Large-scale pre-trained language representation and its promising performance in various downstream applications have become an area of interest in the field of natural language processing (NLP). There has been huge interest in further increasing the model’s size in order to outperform the best previously obtained performances.
Dragos Constantin Nicolae +2 more
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To BERT or Not to BERT Dealing with Possible BERT Failures in an Entailment Task [PDF]
, 2020 In this paper we focus on an Natural Language Inference task. Being given two sentences, we classify their relation as NEUTRAL, ENTAILMENT or CONTRADICTION. Considering the achievements of BERT (Bidirectional Encoder Representations from Transformers) in many Natural Language Processing tasks, we use BERT features to create our base model for this task.
Pedro Fialho +2 more
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FinEst BERT and CroSloEngual BERT [PDF]
, 2020 Large pretrained masked language models have become state-of-the-art solutions for many NLP problems. The research has been mostly focused on English language, though. While massively multilingual models exist, studies have shown that monolingual models produce much better results.
Ulčar, Matej, Robnik-Šikonja, Marko
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I-BERT: Integer-only BERT Quantization
CoRR, 2021 Transformer based models, like BERT and RoBERTa, have achieved state-of-the-art results in many Natural Language Processing tasks. However, their memory footprint, inference latency, and power consumption are prohibitive efficient inference at the edge, and even at the data center.
Sehoon Kim 0001 +4 more
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LIMIT-BERT : Linguistics Informed Multi-Task BERT [PDF]
Findings of the Association for Computational Linguistics: EMNLP 2020, 2020 EMNLP 2020, ACL ...
Junru Zhou +3 more
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Proces. del Leng. Natural, 2021 El sarcasmo se usa con frecuencia para realizar crítica o burla indirecta, a veces hiriendo los sentimientos de alguien. Algunas veces, las personas tienen dificultades para reconocer los comentarios sarcásticos, ya que decimos lo contrario de lo que realmente queremos decir.
Scola, Elsa, Segura-Bedmar, Isabel
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, 2019 <p>A Dead Simple BERT API (https://github.com/google-research/bert)</p ...
Rob Rua (6643280), Rob Rua
core +3 more sources