Results 31 to 40 of about 3,774,624 (287)
Contrastive Learning for Many-to-many Multilingual Neural Machine Translation [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Existing multilingual machine translation approaches mainly focus on English-centric directions, while the non-English directions still lag behind. In this work, we aim to build a many-to-many translation system with an emphasis on the quality of non ...
Xiao Pan +3 more
semanticscholar +1 more source
Dense Contrastive Visual-Linguistic Pretraining [PDF]
Proceedings of the 29th ACM International Conference on Multimedia, 2021 Inspired by the success of BERT, several multimodal representation learning approaches have been proposed that jointly represent image and text. These approaches achieve superior performance by capturing high-level semantic information from large-scale multimodal pretraining.
Lam Pham +8 more
openaire +2 more sources
Self-Guided Contrastive Learning for BERT Sentence Representations [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Although BERT and its variants have reshaped the NLP landscape, it still remains unclear how best to derive sentence embeddings from such pre-trained Transformers.
Taeuk Kim, Kang Min Yoo, Sang-goo Lee
semanticscholar +1 more source
WhitenedCSE: Whitening-based Contrastive Learning of Sentence Embeddings [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 This paper presents a whitening-based contrastive learning method for sentence embedding learning (WhitenedCSE), which combines contrastive learning with a novel shuffled group whitening.
Wenjie Zhuo +4 more
semanticscholar +1 more source
, 2020 The current study examined the structural and functional types of four-word lexical bundles in two different corpora of applied linguistics scientific articles written by L1 English and L1 Indonesian professional writers.
Muchamad Sholakhuddin Al Fajri +2 more
semanticscholar +1 more source
Debiased Contrastive Learning of Unsupervised Sentence Representations [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 Recently, contrastive learning has been shown to be effective in improving pre-trained language models (PLM) to derive high-quality sentence representations.
Kun Zhou +3 more
semanticscholar +1 more source
Die Anwendung kontrastiver Linguistik in der Methodik des Fremdsprachenunterrichts
Limbaj si Context, 2018 In recent years, works have been carried out at international level on the fundamentals of a new comparative linguistics which, unlike the comparative-historical method of young grammarians, do not only study genetically related languages.
Mihaela Hristea
doaj +1 more source
Contrastive Visual-Linguistic Pretraining
CoRR, 2020 Several multi-modality representation learning approaches such as LXMERT and ViLBERT have been proposed recently. Such approaches can achieve superior performance due to the high-level semantic information captured during large-scale multimodal pretraining.
Lei Shi 0002 +8 more
openaire +2 more sources
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Named Entity Recognition (NER) in Few-Shot setting is imperative for entity tagging in low resource domains. Existing approaches only learn class-specific semantic features and intermediate representations from source domains.
Sarkar Snigdha Sarathi Das +3 more
semanticscholar +1 more source
De la notion de corpus dans les études contrastives en langues : choix, outils et exploitation
Traduction et Langues, 2023 The Notion of Corpus in Contrastive Language Studies: Choices, tools and exploitation Since past decades, Contrastive Linguistics is in search of ways for its development. Such a situation results from the fact that the scientific context nowadays is
Paul Fonkoua, Auguste Bayiha
doaj