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of 48
pro vyhledávání: '"Hirao, Tsutomu"'
In recent years, neural machine translation (NMT) has been widely used in everyday life. However, the current NMT lacks a mechanism to adjust the difficulty level of translations to match the user's language level. Additionally, due to the bias in th
Externí odkaz:
http://arxiv.org/abs/2408.04217
Autor:
Tsukagoshi, Hayato, Hirao, Tsutomu, Morishita, Makoto, Chousa, Katsuki, Sasano, Ryohei, Takeda, Koichi
The task of Split and Rephrase, which splits a complex sentence into multiple simple sentences with the same meaning, improves readability and enhances the performance of downstream tasks in natural language processing (NLP). However, while Split and
Externí odkaz:
http://arxiv.org/abs/2404.09002
Recently, decoder-only pre-trained large language models (LLMs), with several tens of billion parameters, have significantly impacted a wide range of natural language processing (NLP) tasks. While encoder-only or encoder-decoder pre-trained language
Externí odkaz:
http://arxiv.org/abs/2403.05065
To promote and further develop RST-style discourse parsing models, we need a strong baseline that can be regarded as a reference for reporting reliable experimental results. This paper explores a strong baseline by integrating existing simple parsing
Externí odkaz:
http://arxiv.org/abs/2210.08355
Autor:
Ikeuchi, Hiroki, Watanabe, Akio, Hirao, Tsutomu, Morishita, Makoto, Nishino, Masaaki, Matsuo, Yoichi, Watanabe, Keishiro
With the increase in scale and complexity of ICT systems, their operation increasingly requires automatic recovery from failures. Although it has become possible to automatically detect anomalies and analyze root causes of failures with current metho
Externí odkaz:
http://arxiv.org/abs/2003.10784
This paper describes NTT's submission to the WMT19 robustness task. This task mainly focuses on translating noisy text (e.g., posts on Twitter), which presents different difficulties from typical translation tasks such as news. Our submission combine
Externí odkaz:
http://arxiv.org/abs/1907.03927
To analyze the limitations and the future directions of the extractive summarization paradigm, this paper proposes an Integer Linear Programming (ILP) formulation to obtain extractive oracle summaries in terms of ROUGE-N. We also propose an algorithm
Externí odkaz:
http://arxiv.org/abs/1701.01614
Publikováno v:
In Information Processing and Management July 2016 52(4):682-697
Publikováno v:
In Information Processing and Management 2007 43(6):1521-1535
Publikováno v:
Journal of Biomedical Semantics, Vol 2, Iss Suppl 5, p S6 (2011)
Abstract This paper presents a new approach to exploit coreference information for extracting event-argument (E-A) relations from biomedical documents. This approach has two advantages: (1) it can extract a large number of valuable E-A relations base
Externí odkaz:
https://doaj.org/article/b07e181177ca42d09fb580f95085d9c1