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.
no code implementations • 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 • 24 Nov 2023 • Ming Li, Ariunaa Enkhtur, Fei Cheng, Beverley Anne Yamamoto
This scoping review explores the ethical challenges of using ChatGPT in education, focusing particularly on issues related to higher education.
no code implementations • 24 Nov 2023 • Ming Li, Ariunaa Enkhtur, Beverley Anne Yamamoto, Fei Cheng
In this scoping review, we clarify the ways in which biases related to GAI in higher education settings have been discussed in recent academic publications and identify what type of potential biases are commonly reported in this body of literature.
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).
no code implementations • 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.
no code implementations • 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.