Results 41 to 50 of about 4,624,323 (348)
Training vs Post-training Cross-lingual Word Embedding Approaches: A Comparative Study [PDF]
International Journal of Information Science and Management, 2023 This paper provides a comparative analysis of cross-lingual word embedding by studying the impact of different variables on the quality of the embedding models within the distributional semantics framework.
Masood Ghayoomi
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Cross-lingual Emotion Detection
, 2021 Emotion detection can provide us with a window into understanding human behavior. Due to the complex dynamics of human emotions, however, constructing annotated datasets to train automated models can be expensive. Thus, we explore the efficacy of cross-lingual approaches that would use data from a source language to build models for emotion detection ...
Hassan, Sabit +2 more
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Mathematics, 2022 Due to the promising performance of pre-trained language models for task-oriented dialogue systems (DS) in English, some efforts to provide multilingual models for task-oriented DS in low-resource languages have emerged.
Ahlam Fuad, Maha Al-Yahya
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BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer [PDF]
North American Chapter of the Association for Computational Linguistics, 2023 Despite remarkable advancements in few-shot generalization in natural language processing, most models are developed and evaluated primarily in English.
Akari Asai +8 more
semanticscholar +1 more source
Cross-Lingual Sentiment Quantification [PDF]
IEEE Intelligent Systems, 2020 Identical to previous version, but for the abstract, which is now identical to the one in the published ...
Esuli A. +2 more
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Interactive Cross-Lingual Ontology Matching
IEEE Access, 2019 Recently, with the growing number of ontologies defined in different languages, to bridge the semantic gaps between them, it is necessary to identify the correspondences between their heterogeneous entities, so-called cross-lingual ontology matching. Due
Junfeng Chen +3 more
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Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias [PDF]
Neural Information Processing Systems, 2023 The scarcity of data presents a critical obstacle to the efficacy of medical visionlanguage pre-training (VLP). A potential solution lies in the combination of datasets from various language communities.
Zhongwei Wan +8 more
semanticscholar +1 more source
MLQA: Evaluating Cross-lingual Extractive Question Answering [PDF]
Annual Meeting of the Association for Computational Linguistics, 2019 Question answering (QA) models have shown rapid progress enabled by the availability of large, high-quality benchmark datasets. Such annotated datasets are difficult and costly to collect, and rarely exist in languages other than English, making building
Patrick Lewis +4 more
semanticscholar +1 more source
Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 In-context learning (ICL) unfolds as large language models become capable of inferring test labels conditioned on a few labeled samples without any gradient update.
Eshaan Tanwar +3 more
semanticscholar +1 more source
Cross-lingual timeline summarization
2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 2021 Timeline summarization methods analyze timestamped, topic-specific news article collections to select the key dates representing the event flow and to extract the most relevant per-date content. Existing approaches are all tailored to a single language. Hence, they are unable to combine topic-related content available in different languages.
Luca Cagliero +3 more
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