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[2023-04-05] 오늘의 자연어처리 SimCSum: Joint Learning of Simplification and Cross-lingual Summarization for Cross-lingual Science Journalism Cross-lingual science journalism generates popular science stories of scientific articles different from the source language for a non-expert audience. Hence, a cross-lingual popular summary must contain the salient content of the input document, and the content should be coherent, comp.. 2023. 4. 5.
[2023-04-05] 오늘의 자연어처리 MMT: A Multilingual and Multi-Topic Indian Social Media Dataset Social media plays a significant role in cross-cultural communication. A vast amount of this occurs in code-mixed and multilingual form, posing a significant challenge to Natural Language Processing (NLP) tools for processing such information, like language identification, topic modeling, and named-entity recognition. To address thi.. 2023. 4. 5.
[2023-04-04] 오늘의 자연어처리 A Multiple Choices Reading Comprehension Corpus for Vietnamese Language Education Machine reading comprehension has been an interesting and challenging task in recent years, with the purpose of extracting useful information from texts. To attain the computer ability to understand the reading text and answer relevant information, we introduce ViMMRC 2.0 - an extension of the previous ViMMRC for t.. 2023. 4. 4.
[2023-04-03] 오늘의 자연어처리 DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents Large language models (LLMs) have emerged as valuable tools for many natural language understanding tasks. In safety-critical applications such as healthcare, the utility of these models is governed by their ability to generate outputs that are factually accurate and complete. In this work, we present dialog-en.. 2023. 4. 3.
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