Search Results for author: Yifan Gao

Found 19 papers, 9 papers with code

ProQA: Structural Prompt-based Pre-training for Unified Question Answering

no code implementations9 May 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.

Continual Learning Few-Shot Learning +3

PGD: A Large-scale Professional Go Dataset for Data-driven Analytics

1 code implementation30 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.

Board Games

Mutual Attention-based Hybrid Dimensional Network for Multimodal Imaging Computer-aided Diagnosis

no code implementations24 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.

Image Classification Medical Image Classification

TransMed: Transformers Advance Multi-modal Medical Image Classification

no code implementations10 Mar 2021 Yin Dai, Yifan Gao

To our best knowledge, this is the first work to apply transformers to medical image classification.

General Classification Image Classification +3

Open-Retrieval Conversational Machine Reading

1 code implementation17 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.

Discourse Segmentation Reading Comprehension

Leveraging WordNet Paths for Neural Hypernym Prediction

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.

Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading

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.

Decision Making Discourse Segmentation +2

EMT: Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading

1 code implementation26 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.

Decision Making Reading Comprehension

Non-linearity identification for construction workers' personality-safety behaviour predictive relationship using neural network and linear regression modelling

no code implementations11 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.

Decision Making

Improving Question Generation With to the Point Context

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.

Question Generation

Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling

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.

Question Answering Question Generation

Generating Distractors for Reading Comprehension Questions from Real Examinations

2 code implementations8 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.

Distractor Generation Multiple-choice +1

Title-Guided Encoding for Keyphrase Generation

no code implementations26 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).

Keyphrase Generation Natural Language Processing

Difficulty Controllable Generation of Reading Comprehension Questions

no code implementations10 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).

Question Generation Reading Comprehension

Learning Multi-level Features For Sensor-based Human Action Recognition

no code implementations22 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.

Action Recognition

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