xCoT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning
Proceedings of the AAAI Conference on Artificial IntelligenceChain-of-thought (CoT) has emerged as a powerful technique to elicit reasoning in large language models and improve a variety of downstream tasks. CoT mainly demonstrates excellent performance in English, but its usage in low-resource languages is ...
Linzheng Chai +10 more
semanticscholar +3 more sources
Zero-shot cross-lingual stance detection via adversarial language adaptation [PDF]
PeerJ Computer ScienceStance detection has been widely studied as the task of determining if a social media post is positive, negative or neutral towards a specific issue, such as support towards vaccines.
Bharathi A., Arkaitz Zubiaga
doaj +3 more sources
Cross-lingual transfer of sentiment classifiers
Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave, 2021 Word embeddings represent words in a numeric space so that semantic relations between words are represented as distances and directions in the vector space.
Marko Robnik-Šikonja +2 more
doaj +4 more sources
Cross-lingual Unified Medical Language System entity linking in online health communities. [PDF]
J Am Med Inform Assoc, 2020 Bitton Y +5 more
europepmc +3 more sources
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale [PDF]
Interspeech, 2021 This paper presents XLS-R, a large-scale model for cross-lingual speech representation learning based on wav2vec 2.0. We train models with up to 2B parameters on nearly half a million hours of publicly available speech audio in 128 languages, an order of
Arun Babu +12 more
semanticscholar +1 more source
Unsupervised Cross-lingual Representation Learning for Speech Recognition [PDF]
Interspeech, 2020 This paper presents XLSR which learns cross-lingual speech representations by pretraining a single model from the raw waveform of speech in multiple languages.
Alexis Conneau +4 more
semanticscholar +1 more source
Bridging resource gaps in cross-lingual sentiment analysis: adaptive self-alignment with data augmentation and transfer learning. [PDF]
PeerJ Comput SciChen L, Shang S, Wang Y.
europepmc +3 more sources
Meta-Learning for Mandarin-Tibetan Cross-Lingual Speech Synthesis
Applied Sciences, 2022 The paper proposes a meta-learning-based Mandarin-Tibetan cross-lingual text-to-speech (TTS) to realize both Mandarin and Tibetan speech synthesis under a unique framework.
Weizhao Zhang, Hongwu Yang
doaj +1 more source
A Multitask Cross-Lingual Summary Method Based on ABO Mechanism
Applied Sciences, 2023 Recent cross-lingual summarization research has pursued the use of a unified end-to-end model which has demonstrated a certain level of improvement in performance and effectiveness, but this approach stitches together multiple tasks and makes the ...
Qing Li, Weibing Wan, Yuming Zhao
doaj +1 more source
MAD-X: An Adapter-based Framework for Multi-task Cross-lingual Transfer [PDF]
Conference on Empirical Methods in Natural Language Processing, 2020 The main goal behind state-of-the-art pretrained multilingual models such as multilingual BERT and XLM-R is enabling and bootstrapping NLP applications in low-resource languages through zero-shot or few-shot cross-lingual transfer.
Jonas Pfeiffer +3 more
semanticscholar +1 more source