Results 11 to 20 of about 531,339 (320)
EnergeiaIn recent years, Eugenio Coseriu’s linguistic theory has been increasingly re-evaluated within contemporary debates, particularly for its ambition to offer a unified and coherent framework for understanding human linguisticity.
Filomena Diodato
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Social Sciences, 2018 As an interpersonal meta-discourse device, hedges have a significant role in academic writing, especially in research articles (RAs) of various fields. The use of hedges in academic writing helps writers represent their ideology, opinion, and evaluation ...
Thu Nguyen Thi Thuy
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Comparing Fifty Natural Languages and Twelve Genetic Languages Using Word Embedding Language Divergence (WELD) as a Quantitative Measure of Language Distance [PDF]
North American Chapter of the Association for Computational Linguistics, 2016 We introduce a new measure of distance between languages based on word embedding, called word embedding language divergence (WELD). WELD is defined as divergence between unified similarity distribution of words between languages. Using such a measure, we
Asgari, Ehsaneddin +1 more
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Hermes, 2011 In the European Union, numerous cultures have entered into dialogue. Currently, there are 23 official languages (EU languages) and therefore 506 possible language combinations for translation.
Karin Luttermann
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f-Divergence Minimization for Sequence-Level Knowledge Distillation [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 Knowledge distillation (KD) is the process of transferring knowledge from a large model to a small one.It has gained increasing attention in the natural language processing community, driven by the demands of compressing ever-growing language models.
Yuqiao Wen +3 more
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Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles [PDF]
North American Chapter of the Association for Computational Linguistics, 2023 Previous research in multi-document news summarization has typically concentrated on collating information that all sources agree upon. However, the summarization of diverse information dispersed across multiple articles about an event remains ...
Kung-Hsiang Huang +6 more
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Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 Learning quality document embeddings is a fundamental problem in natural language processing (NLP), information retrieval (IR), recommendation systems, and search engines.
Daniel Saggau +3 more
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X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs [PDF]
North American Chapter of the Association for Computational Linguistics, 2023 Understanding when two pieces of text convey the same information is a goal touching many subproblems in NLP, including textual entailment and fact-checking. This problem becomes more complex when those two pieces of text are in different languages. Here,
Juan Diego Rodriguez +2 more
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Annual Meeting of the Association for Computational Linguistics, 2023 Early exiting can reduce the average latency of pre-trained language models (PLMs) via its adaptive inference mechanism and work with other inference speed-up methods like model pruning, thus drawing much attention from the industry.
Wei Zhu +4 more
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Annual Meeting of the Association for Computational Linguistics, 2023 In this paper, we address the task of cloze-style multiple choice question (MCQs) distractor generation. Our study is featured by the following designs. First, we propose to formulate the cloze distractor generation as a Text2Text task.
Haibo Wang +6 more
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