no code implementations • 22 Nov 2016 • Yan Xu, Zhengyang Shen, Xin Zhang, Yifan Gao, Shujian Deng, Yipei Wang, Yubo Fan, Eric I-Chao Chang
This paper proposes a multi-level feature learning framework for human action recognition using a single body-worn inertial sensor.
no code implementations • 10 Jul 2018 • Yifan Gao, Lidong Bing, Wang Chen, Michael R. Lyu, Irwin King
We investigate the difficulty levels of questions in reading comprehension datasets such as SQuAD, and propose a new question generation setting, named Difficulty-controllable Question Generation (DQG).
no code implementations • 26 Aug 2018 • Wang Chen, Yifan Gao, Jiani Zhang, Irwin King, Michael R. Lyu
Keyphrase generation (KG) aims to generate a set of keyphrases given a document, which is a fundamental task in natural language processing (NLP).
2 code implementations • 8 Sep 2018 • Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu
We investigate the task of distractor generation for multiple choice reading comprehension questions from examinations.
1 code implementation • ACL 2019 • Yifan Gao, Piji Li, Irwin King, Michael R. Lyu
The coreference alignment modeling explicitly aligns coreferent mentions in conversation history with corresponding pronominal references in generated questions, which makes generated questions interconnected to conversation history.
no code implementations • IJCNLP 2019 • Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu
Question generation (QG) is the task of generating a question from a reference sentence and a specified answer within the sentence.
no code implementations • 11 Dec 2019 • Yifan Gao, Vicente A. Gonzalez, Tak Wing Yiu, Guillermo Cabrera-Guerrerod
The latest literature has evidenced that there is within-population diversity that leads people's intended safety behaviours in the workplace, which are found to vary among individuals as a function of their personality traits.
1 code implementation • 26 May 2020 • Yifan Gao, Chien-Sheng Wu, Shafiq Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi
The goal of conversational machine reading is to answer user questions given a knowledge base text which may require asking clarification questions.
1 code implementation • ACL 2020 • Yifan Gao, Chien-Sheng Wu, Shafiq Joty, Caiming Xiong, Richard Socher, Irwin King, Michael Lyu, Steven C. H. Hoi
The goal of conversational machine reading is to answer user questions given a knowledge base text which may require asking clarification questions.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Yifan Gao, Piji Li, Wei Bi, Xiaojiang Liu, Michael R. Lyu, Irwin King
Besides a small number of high-resource sentence functions, a large portion of sentence functions is infrequent.
1 code implementation • EMNLP 2020 • Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq Joty, Steven C. H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu
Based on the learned EDU and entailment representations, we either reply to the user our final decision "yes/no/irrelevant" of the initial question, or generate a follow-up question to inquiry more information.
1 code implementation • ACL 2021 • Yifan Gao, Henghui Zhu, Patrick Ng, Cicero Nogueira dos santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
When multiple plausible answers are found, the system should rewrite the question for each answer to resolve the ambiguity.
1 code implementation • COLING 2020 • Yejin Cho, Juan Diego Rodriguez, Yifan Gao, Katrin Erk
We formulate the problem of hypernym prediction as a sequence generation task, where the sequences are taxonomy paths in WordNet.
1 code implementation • 17 Feb 2021 • Yifan Gao, Jingjing Li, Chien-Sheng Wu, Michael R. Lyu, Irwin King
On our created OR-ShARC dataset, MUDERN achieves the state-of-the-art performance, outperforming existing single-passage conversational machine reading models as well as a new multi-passage conversational machine reading baseline by a large margin.
no code implementations • 10 Mar 2021 • Yin Dai, Yifan Gao
To our best knowledge, this is the first work to apply transformers to medical image classification.
no code implementations • 24 Jan 2022 • Yin Dai, Yifan Gao, Fayu Liu, Jun Fu
Recent works on Multimodal 3D Computer-aided diagnosis have demonstrated that obtaining a competitive automatic diagnosis model when a 3D convolution neural network (CNN) brings more parameters and medical images are scarce remains nontrivial and challenging.
no code implementations • 30 Apr 2022 • Yifan Gao
This paper creates the Professional Go Dataset (PGD), containing 98, 043 games played by 2, 148 professional players from 1950 to 2021.
1 code implementation • NAACL 2022 • Wanjun Zhong, Yifan Gao, Ning Ding, Yujia Qin, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan
Furthermore, ProQA exhibits strong ability in both continual learning and transfer learning by taking the advantages of the structural prompt.
1 code implementation • Findings (NAACL) 2022 • Yifan Gao, Qingyu Yin, Zheng Li, Rui Meng, Tong Zhao, Bing Yin, Irwin King, Michael R. Lyu
Keyphrase generation is the task of automatically predicting keyphrases given a piece of long text.
no code implementations • 5 Aug 2022 • Wanjun Zhong, Yifan Gao, Ning Ding, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan
Task generalization has been a long standing challenge in Natural Language Processing (NLP).
no code implementations • 4 Oct 2022 • Yifan Gao, Yin Dai, Fayu Liu, Weibing Chen, Lifu Shi
Second, considering that the segmentation model is prone to be disturbed by similar anatomical structures and make wrong predictions, we design anatomy-aware loss.
no code implementations • 3 Nov 2022 • Yifan Gao, Danni Zhang, Haoyue Li
To the best of our knowledge, PAGE is the first dataset with extensive annotation in the game of Go.
1 code implementation • 15 Nov 2022 • Changlong Yu, Weiqi Wang, Xin Liu, Jiaxin Bai, Yangqiu Song, Zheng Li, Yifan Gao, Tianyu Cao, Bing Yin
Understanding users' intentions in e-commerce platforms requires commonsense knowledge.
1 code implementation • 3 May 2023 • Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin, Xiang Ren
While CoT can yield dramatically improved performance, such gains are only observed for sufficiently large LMs.
no code implementations • 19 May 2023 • Jie Huang, Yifan Gao, Zheng Li, Jingfeng Yang, Yangqiu Song, Chao Zhang, Zining Zhu, Haoming Jiang, Kevin Chen-Chuan Chang, Bing Yin
We propose and study Complementary Concept Generation (CCGen): given a concept of interest, e. g., "Digital Cameras", generating a list of complementary concepts, e. g., 1) Camera Lenses 2) Batteries 3) Camera Cases 4) Memory Cards 5) Battery Chargers.
no code implementations • 30 May 2023 • Shiyang Li, Yifan Gao, Haoming Jiang, Qingyu Yin, Zheng Li, Xifeng Yan, Chao Zhang, Bing Yin
State-of-the-art methods often utilize entities in questions to retrieve local subgraphs, which are then fed into KG encoder, e. g. graph neural networks (GNNs), to model their local structures and integrated into language models for question answering.
1 code implementation • 1 Jun 2023 • Yifan Gao, Wei Xia, Dingdu Hu, Xin Gao
In fully automatic mode, the presence of inevitable poor prompts (such as points outside the mask or boxes significantly larger than the mask) can significantly mislead mask generation.
no code implementations • 2 Aug 2023 • Jinpeng Lin, Min Zhou, Ye Ma, Yifan Gao, Chenxi Fei, Yangjian Chen, Zhang Yu, Tiezheng Ge
Meanwhile, to our knowledge, we propose the first poster generation dataset that includes visual attribute annotations for over 76k posters.
no code implementations • 9 Aug 2023 • Yifan Gao, Jinpeng Lin, Min Zhou, Chuanbin Liu, Hongtao Xie, Tiezheng Ge, Yuning Jiang
Specifically, TextPainter takes the global-local background image as a hint of style and guides the text image generation with visual harmony.
no code implementations • 27 Aug 2023 • Zining Zhu, Haoming Jiang, Jingfeng Yang, Sreyashi Nag, Chao Zhang, Jie Huang, Yifan Gao, Frank Rudzicz, Bing Yin
Situated NLE provides a perspective and facilitates further research on the generation and evaluation of explanations.
1 code implementation • NeurIPS 2023 • Xin Liu, Zheng Li, Yifan Gao, Jingfeng Yang, Tianyu Cao, Zhengyang Wang, Bing Yin, Yangqiu Song
The goal of session-based recommendation in E-commerce is to predict the next item that an anonymous user will purchase based on the browsing and purchase history.
no code implementations • 10 Mar 2024 • Dawei Fan, Yifan Gao, Jiaming Yu, Yanping Chen, Wencheng Li, Chuancong Lin, Kaibin Li, Changcai Yang, Riqing Chen, Lifang Wei
Deep learning models have shown promising performance for cell nucleus segmentation in the field of pathology image analysis.