1 code implementation • LREC 2022 • Felix Virgo, Fei Cheng, Sadao Kurohashi
However, the amount of training data for tasks like duration question answering, i. e., McTACO, is very limited, suggesting a need for external duration information to improve this task.
1 code implementation • LREC 2022 • Fei Cheng, Shuntaro Yada, Ribeka Tanaka, Eiji Aramaki, Sadao Kurohashi
In this paper, we first propose a novel relation annotation schema for investigating the medical and temporal relations between medical entities in Japanese medical reports.
no code implementations • 9 Oct 2024 • Shiho Matta, Yin Jou Huang, Fei Cheng, Hirokazu Kiyomaru, Yugo Murawaki
Recent studies have demonstrated that few-shot learning allows LLMs to generate training data for supervised models at a low cost.
no code implementations • 20 Aug 2024 • Chengzhi Zhong, Fei Cheng, Qianying Liu, Junfeng Jiang, Zhen Wan, Chenhui Chu, Yugo Murawaki, Sadao Kurohashi
We examine the latent language of three typical categories of models for Japanese processing: Llama2, an English-centric model; Swallow, an English-centric model with continued pre-training in Japanese; and LLM-jp, a model pre-trained on balanced English and Japanese corpora.
no code implementations • 15 Jul 2024 • Zeqing Wang, Fei Cheng, Kangye Ji, Bohu Huang
Different from other CL methods bringing huge resource consumption to acquire generalizability among all tasks for delaying forgetting, LightCL compress the resource consumption of already generalized components in neural networks and uses a few extra resources to improve memory in other parts.
no code implementations • 4 Jul 2024 • LLM-jp, :, Akiko Aizawa, Eiji Aramaki, Bowen Chen, Fei Cheng, Hiroyuki Deguchi, Rintaro Enomoto, Kazuki Fujii, Kensuke Fukumoto, Takuya Fukushima, Namgi Han, Yuto Harada, Chikara Hashimoto, Tatsuya Hiraoka, Shohei Hisada, Sosuke Hosokawa, Lu Jie, Keisuke Kamata, Teruhito Kanazawa, Hiroki Kanezashi, Hiroshi Kataoka, Satoru Katsumata, Daisuke Kawahara, Seiya Kawano, Atsushi Keyaki, Keisuke Kiryu, Hirokazu Kiyomaru, Takashi Kodama, Takahiro Kubo, Yohei Kuga, Ryoma Kumon, Shuhei Kurita, Sadao Kurohashi, Conglong Li, Taiki Maekawa, Hiroshi Matsuda, Yusuke Miyao, Kentaro Mizuki, Sakae Mizuki, Yugo Murawaki, Ryo Nakamura, Taishi Nakamura, Kouta Nakayama, Tomoka Nakazato, Takuro Niitsuma, Jiro Nishitoba, Yusuke Oda, Hayato Ogawa, Takumi Okamoto, Naoaki Okazaki, Yohei Oseki, Shintaro Ozaki, Koki Ryu, Rafal Rzepka, Keisuke Sakaguchi, Shota Sasaki, Satoshi Sekine, Kohei Suda, Saku Sugawara, Issa Sugiura, Hiroaki Sugiyama, Hisami Suzuki, Jun Suzuki, Toyotaro Suzumura, Kensuke Tachibana, Yu Takagi, Kyosuke Takami, Koichi Takeda, Masashi Takeshita, Masahiro Tanaka, Kenjiro Taura, Arseny Tolmachev, Nobuhiro Ueda, Zhen Wan, Shuntaro Yada, Sakiko Yahata, Yuya Yamamoto, Yusuke Yamauchi, Hitomi Yanaka, Rio Yokota, Koichiro Yoshino
This paper introduces LLM-jp, a cross-organizational project for the research and development of Japanese large language models (LLMs).
no code implementations • 14 Jun 2024 • Peitao Han, Lis Kanashiro Pereira, Fei Cheng, Wan Jou She, Eiji Aramaki
Existing in-context learning (ICL) methods for relation extraction (RE) often prioritize language similarity over structural similarity, which can lead to overlooking entity relationships.
no code implementations • 10 Jun 2024 • Haochuan Jiang, Guanyu Yang, Fei Cheng, Kaizhu Huang
Synthesizing Chinese characters with consistent style using few stylized examples is challenging.
no code implementations • 27 May 2024 • Kangye Ji, Fei Cheng, Zeqing Wang, Bohu Huang
Therefore, we employ only one network with the jump manner update to decouple the interplay and mine more semantic information from the loss for a more precise selection.
no code implementations • 27 Mar 2024 • Felix Virgo, Fei Cheng, Lis Kanashiro Pereira, Masayuki Asahara, Ichiro Kobayashi, Sadao Kurohashi
We propose a voting-driven semi-supervised approach to automatically acquire the typical duration of an event and use it as pseudo-labeled data.
2 code implementations • 6 Mar 2024 • Yikun Sun, Zhen Wan, Nobuhiro Ueda, Sakiko Yahata, Fei Cheng, Chenhui Chu, Sadao Kurohashi
The creation of instruction data and evaluation benchmarks for serving Large language models often involves enormous human annotation.
no code implementations • 24 Nov 2023 • Ming Li, Ariunaa Enkhtur, Beverley Anne Yamamoto, Fei Cheng, Lilan Chen
We categorized the potential societal biases that GAI might cause in the field of higher education.
no code implementations • 24 Nov 2023 • Ming Li, Ariunaa Enkhtur, Fei Cheng, Beverley Anne Yamamoto
This scoping review explores the ethical challenges of using ChatGPT in higher education.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Fei Cheng, Masayuki Asahara, Ichiro Kobayashi, Sadao Kurohashi
Temporal relation classification is a pair-wise task for identifying the relation of a temporal link (TLINK) between two mentions, i. e. event, time, and document creation time (DCT).
1 code implementation • 5 Oct 2023 • Zhen Wan, Yating Zhang, Yexiang Wang, Fei Cheng, Sadao Kurohashi
In the zero-shot setting of four Chinese legal tasks, our method improves accuracy by 33. 3\% compared to the direct generation by GPT-4.
no code implementations • 16 Jun 2023 • Xiaofei Sun, Linfeng Dong, Xiaoya Li, Zhen Wan, Shuhe Wang, Tianwei Zhang, Jiwei Li, Fei Cheng, Lingjuan Lyu, Fei Wu, Guoyin Wang
In this work, we propose a collection of general modules to address these issues, in an attempt to push the limits of ChatGPT on NLP tasks.
1 code implementation • 26 May 2023 • Tatsuro Inaba, Hirokazu Kiyomaru, Fei Cheng, Sadao Kurohashi
Large language models (LLMs) have achieved impressive performance on various reasoning tasks.
no code implementations • 12 May 2023 • Qianying Liu, Dongsheng Yang, Wenjie Zhong, Fei Cheng, Sadao Kurohashi
Numerical reasoning over table-and-text hybrid passages, such as financial reports, poses significant challenges and has numerous potential applications.
1 code implementation • 3 May 2023 • Zhen Wan, Fei Cheng, Zhuoyuan Mao, Qianying Liu, Haiyue Song, Jiwei Li, Sadao Kurohashi
In spite of the potential for ground-breaking achievements offered by large language models (LLMs) (e. g., GPT-3), they still lag significantly behind fully-supervised baselines (e. g., fine-tuned BERT) in relation extraction (RE).
1 code implementation • 29 Nov 2022 • Yibin Shen, Qianying Liu, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi
Solving math word problems is the task that analyses the relation of quantities and requires an accurate understanding of contextual natural language information.
1 code implementation • 21 Oct 2022 • Zhen Wan, Qianying Liu, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi, Jiwei Li
Relation extraction (RE) has achieved remarkable progress with the help of pre-trained language models.
no code implementations • 13 Oct 2022 • Qianying Liu, Wenyu Guan, Jianhao Shen, Fei Cheng, Sadao Kurohashi
To address this problem, we propose a novel search algorithm with combinatorial strategy \textbf{ComSearch}, which can compress the search space by excluding mathematically equivalent equations.
1 code implementation • 21 Sep 2022 • Yibin Shen, Qianying Liu, Zhuoyuan Mao, Zhen Wan, Fei Cheng, Sadao Kurohashi
To solve Math Word Problems, human students leverage diverse reasoning logic that reaches different possible equation solutions.
no code implementations • 18 May 2022 • Zhen Wan, Fei Cheng, Qianying Liu, Zhuoyuan Mao, Haiyue Song, Sadao Kurohashi
Contrastive pre-training on distant supervision has shown remarkable effectiveness in improving supervised relation extraction tasks.
1 code implementation • 8 Apr 2022 • Qianying Liu, Zhuo Gong, Zhengdong Yang, Yuhang Yang, Sheng Li, Chenchen Ding, Nobuaki Minematsu, Hao Huang, Fei Cheng, Chenhui Chu, Sadao Kurohashi
Low-resource speech recognition has been long-suffering from insufficient training data.
no code implementations • 10 Nov 2021 • Qianying Liu, Fei Cheng, Sadao Kurohashi
Meta learning with auxiliary languages has demonstrated promising improvements for cross-lingual natural language processing.
1 code implementation • 8 Nov 2021 • Fei Cheng, Shuntaro Yada, Ribeka Tanaka, Eiji Aramaki, Sadao Kurohashi
We present an open-access natural language processing toolkit for Japanese medical information extraction.
no code implementations • SEMEVAL 2021 • Yuki Taya, Lis Kanashiro Pereira, Fei Cheng, Ichiro Kobayashi
We propose an ensemble model for predicting the lexical complexity of words and multiword expressions (MWEs).
no code implementations • 17 Mar 2021 • Shitian He, Huanxin Zou, Yingqian Wang, Runlin Li, Fei Cheng
In this paper, we explore the potential benefits introduced by image SR to ship detection, and propose an end-to-end network named ShipSRDet.
no code implementations • 24 Dec 2020 • Qinxu Ding, Yong liu, Chunyan Miao, Fei Cheng, Haihong Tang
Previous interactive recommendation methods primarily focus on learning users' personalized preferences on the relevance properties of an item set.
1 code implementation • 4 Oct 2020 • Qianying Liu, Wenyu Guan, Sujian Li, Fei Cheng, Daisuke Kawahara, Sadao Kurohashi
Automatically solving math word problems is a critical task in the field of natural language processing.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Ranran Haoran Zhang, Qianying Liu, Aysa Xuemo Fan, Heng Ji, Daojian Zeng, Fei Cheng, Daisuke Kawahara, Sadao Kurohashi
We propose a novel Sequence-to-Unordered-Multi-Tree (Seq2UMTree) model to minimize the effects of exposure bias by limiting the decoding length to three within a triplet and removing the order among triplets.
no code implementations • 14 Aug 2020 • Fei Cheng, Yusuke Miyao
Another contribution of this work is to construct a larger event time corpus (256 news documents) with a reasonable Inter-Annotator Agreement (IAA), for the purpose of overcoming the data shortage of the existing event time corpus (36 news documents).
no code implementations • EMNLP (NLP-COVID19) 2020 • Akiko Aizawa, Frederic Bergeron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong
The global pandemic of COVID-19 has made the public pay close attention to related news, covering various domains, such as sanitation, treatment, and effects on education.
no code implementations • ACL 2020 • Haiyue Song, Raj Dabre, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi, Eiichiro Sumita
Sequence-to-sequence (S2S) pre-training using large monolingual data is known to improve performance for various S2S NLP tasks.
1 code implementation • WS 2020 • Lis Pereira, Xiaodong Liu, Fei Cheng, Masayuki Asahara, Ichiro Kobayashi
We propose an AdversariaL training algorithm for commonsense InferenCE (ALICE).
no code implementations • LREC 2020 • Shuntaro Yada, Ayami Joh, Ribeka Tanaka, Fei Cheng, Eiji Aramaki, Sadao Kurohashi
Applying natural language processing (NLP) to medical and clinical texts can bring important social benefits by mining valuable information from unstructured text.
no code implementations • 23 Jan 2020 • Haiyue Song, Raj Dabre, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi, Eiichiro Sumita
To this end, we propose to exploit monolingual corpora of other languages to complement the scarcity of monolingual corpora for the LOI.
no code implementations • 26 Sep 2018 • Di Wu, Kun Zhang, Fei Cheng, Yang Zhao, Qi Liu, Chang-An Yuan, De-Shuang Huang
As a basic task of multi-camera surveillance system, person re-identification aims to re-identify a query pedestrian observed from non-overlapping multiple cameras or across different time with a single camera.
1 code implementation • NAACL 2018 • Fei Cheng, Yusuke Miyao
Conventional annotation of judging temporal relations puts a heavy load on annotators.
no code implementations • ACL 2017 • Fei Cheng, Yusuke Miyao
In this work, we borrow a state-of-the-art method in relation extraction by adopting bidirectional long short-term memory (Bi-LSTM) along dependency paths (DP).
no code implementations • LREC 2014 • Fei Cheng, Kevin Duh, Yuji Matsumoto
Synthetic word analysis is a potentially important but relatively unexplored problem in Chinese natural language processing.