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[2022-10-05] 오늘의 자연어처리 ReAct: A Review Comment Dataset for Actionability (and more) Review comments play an important role in the evolution of documents. For a large document, the number of review comments may become large, making it difficult for the authors to quickly grasp what the comments are about. It is important to identify the nature of the comments to identify which comments require some action on the part o.. 2022. 10. 5.
[2022-10-04] 오늘의 자연어처리 Language-Family Adapters for Multilingual Neural Machine Translation Massively multilingual models pretrained on abundant corpora with self-supervision achieve state-of-the-art results in a wide range of natural language processing tasks. In machine translation, multilingual pretrained models are often fine-tuned on parallel data from one or multiple language pairs. Multilingual fine-tuning impr.. 2022. 10. 4.
[2022-10-03] 오늘의 자연어처리 Depth-Wise Attention (DWAtt): A Layer Fusion Method for Data-Efficient Classification Language Models pretrained on large textual data have been shown to encode different types of knowledge simultaneously. Traditionally, only the features from the last layer are used when adapting to new tasks or data. We put forward that, when using or finetuning deep pretrained models, intermediate layer featu.. 2022. 10. 3.
[2022-10-03] 오늘의 자연어처리 An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation Open-domain dialogue systems aim to interact with humans through natural language texts in an open-ended fashion. However, the widely successful neural networks may not work well for dialogue systems, as they tend to generate generic responses. In this work, we propose an Equal-size Hard Expectation--Maximization (EqHard-EM) algorit.. 2022. 10. 3.
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