Search Results for author: Hang Yan

Found 29 papers, 21 papers with code

Rethinking Label Smoothing on Multi-hop Question Answering

1 code implementation19 Dec 2022 Zhangyue Yin, Yuxin Wang, Yiguang Wu, Hang Yan, Xiannian Hu, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Xipeng Qiu

Label smoothing is a regularization technique widely used in supervised learning to improve the generalization of models on various tasks, such as image classification and machine translation.

Image Classification Machine Reading Comprehension +4

Investigating Glyph Phonetic Information for Chinese Spell Checking: What Works and What's Next

no code implementations8 Dec 2022 Xiaotian Zhang, Yanjun Zheng, Hang Yan, Xipeng Qiu

While pre-trained Chinese language models have demonstrated impressive performance on a wide range of NLP tasks, the Chinese Spell Checking (CSC) task remains a challenge.

Chinese Spell Checking

SDCL: Self-Distillation Contrastive Learning for Chinese Spell Checking

no code implementations31 Oct 2022 Xiaotian Zhang, Hang Yan, Yu Sun, Xipeng Qiu

To adapt BERT to the CSC task, we propose a token-level self-distillation contrastive learning method.

Chinese Spell Checking Contrastive Learning

DORE: Document Ordered Relation Extraction based on Generative Framework

1 code implementation28 Oct 2022 Qipeng Guo, Yuqing Yang, Hang Yan, Xipeng Qiu, Zheng Zhang

In this paper, we investigate the root cause of the underwhelming performance of the existing generative DocRE models and discover that the culprit is the inadequacy of the training paradigm, instead of the capacities of the models.

Document-level Relation Extraction

Waymo Open Dataset: Panoramic Video Panoptic Segmentation

1 code implementation15 Jun 2022 Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar, Dragomir Anguelov

We therefore present the Waymo Open Dataset: Panoramic Video Panoptic Segmentation Dataset, a large-scale dataset that offers high-quality panoptic segmentation labels for autonomous driving.

Autonomous Driving Image Segmentation +4

Dialogue Meaning Representation for Task-Oriented Dialogue Systems

1 code implementation23 Apr 2022 Xiangkun Hu, Junqi Dai, Hang Yan, Yi Zhang, Qipeng Guo, Xipeng Qiu, Zheng Zhang

We propose Dialogue Meaning Representation (DMR), a pliable and easily extendable representation for task-oriented dialogue.

coreference-resolution Coreference Resolution +1

TURNER: The Uncertainty-based Retrieval Framework for Chinese NER

no code implementations18 Feb 2022 Zhichao Geng, Hang Yan, Zhangyue Yin, Chenxin An, Xipeng Qiu

Chinese NER is a difficult undertaking due to the ambiguity of Chinese characters and the absence of word boundaries.

General Knowledge NER +1

Contrast and Generation Make BART a Good Dialogue Emotion Recognizer

1 code implementation21 Dec 2021 ShiMin Li, Hang Yan, Xipeng Qiu

Meanwhile, we utilize an auxiliary response generation task to enhance the model's ability of handling context information, thereby forcing the model to recognize emotions with similar semantics in diverse contexts.

Contrastive Learning Emotion Recognition in Conversation +1

CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation

1 code implementation13 Sep 2021 Yunfan Shao, Zhichao Geng, Yitao Liu, Junqi Dai, Hang Yan, Fei Yang, Li Zhe, Hujun Bao, Xipeng Qiu

In this paper, we take the advantage of previous pre-trained models (PTMs) and propose a novel Chinese Pre-trained Unbalanced Transformer (CPT).

Denoising Language Modelling +3

A Unified Generative Framework for Various NER Subtasks

1 code implementation ACL 2021 Hang Yan, Tao Gui, Junqi Dai, Qipeng Guo, Zheng Zhang, Xipeng Qiu

To that end, we propose to formulate the NER subtasks as an entity span sequence generation task, which can be solved by a unified sequence-to-sequence (Seq2Seq) framework.

named-entity-recognition Named Entity Recognition +2

Accelerating BERT Inference for Sequence Labeling via Early-Exit

1 code implementation ACL 2021 Xiaonan Li, Yunfan Shao, Tianxiang Sun, Hang Yan, Xipeng Qiu, Xuanjing Huang

To alleviate this problem, we extend the recent successful early-exit mechanism to accelerate the inference of PTMs for sequence labeling tasks.

Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa

1 code implementation NAACL 2021 Junqi Dai, Hang Yan, Tianxiang Sun, PengFei Liu, Xipeng Qiu

In this paper, we firstly compare the induced trees from PTMs and the dependency parsing trees on several popular models for the ABSA task, showing that the induced tree from fine-tuned RoBERTa (FT-RoBERTa) outperforms the parser-provided tree.

Aspect-Based Sentiment Analysis (ABSA) Dependency Parsing

Text Information Aggregation with Centrality Attention

no code implementations16 Nov 2020 Jingjing Gong, Hang Yan, Yining Zheng, Xipeng Qiu, Xuanjing Huang

A lot of natural language processing problems need to encode the text sequence as a fix-length vector, which usually involves aggregation process of combining the representations of all the words, such as pooling or self-attention.

text-classification Text Classification

fastHan: A BERT-based Multi-Task Toolkit for Chinese NLP

1 code implementation ACL 2021 Zhichao Geng, Hang Yan, Xipeng Qiu, Xuanjing Huang

The joint-model is trained and evaluated on 13 corpora of four tasks, yielding near state-of-the-art (SOTA) performance in dependency parsing and NER, achieving SOTA performance in CWS and POS.

Chinese Word Segmentation Dependency Parsing +5

FLAT: Chinese NER Using Flat-Lattice Transformer

1 code implementation ACL 2020 Xiaonan Li, Hang Yan, Xipeng Qiu, Xuanjing Huang

Recently, the character-word lattice structure has been proved to be effective for Chinese named entity recognition (NER) by incorporating the word information.

Chinese Named Entity Recognition named-entity-recognition +2

Learning Sparse Sharing Architectures for Multiple Tasks

1 code implementation12 Nov 2019 Tianxiang Sun, Yunfan Shao, Xiaonan Li, PengFei Liu, Hang Yan, Xipeng Qiu, Xuanjing Huang

Most existing deep multi-task learning models are based on parameter sharing, such as hard sharing, hierarchical sharing, and soft sharing.

Multi-Task Learning

TENER: Adapting Transformer Encoder for Named Entity Recognition

6 code implementations10 Nov 2019 Hang Yan, Bocao Deng, Xiaonan Li, Xipeng Qiu

The Bidirectional long short-term memory networks (BiLSTM) have been widely used as an encoder in models solving the named entity recognition (NER) task.

Chinese Named Entity Recognition Named Entity Recognition

A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer Encoder

1 code implementation Findings of the Association for Computational Linguistics 2020 Xipeng Qiu, Hengzhi Pei, Hang Yan, Xuanjing Huang

Multi-criteria Chinese word segmentation (MCCWS) aims to exploit the relations among the multiple heterogeneous segmentation criteria and further improve the performance of each single criterion.

Chinese Word Segmentation Multi-Task Learning

RoNIN: Robust Neural Inertial Navigation in the Wild: Benchmark, Evaluations, and New Methods

3 code implementations30 May 2019 Hang Yan, Sachini Herath, Yasutaka Furukawa

This paper sets a new foundation for data-driven inertial navigation research, where the task is the estimation of positions and orientations of a moving subject from a sequence of IMU sensor measurements.

A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing

1 code implementation TACL 2020 Hang Yan, Xipeng Qiu, Xuanjing Huang

Our graph-based joint model achieves better performance than previous joint models and state-of-the-art results in both Chinese word segmentation and dependency parsing.

Chinese Word Segmentation Dependency Parsing +2

Gaussian Word Embedding with a Wasserstein Distance Loss

no code implementations21 Aug 2018 Chi Sun, Hang Yan, Xipeng Qiu, Xuanjing Huang

Therefore, with the aim of representing words in a highly efficient way, we propose to operate a Gaussian word embedding model with a loss function based on the Wasserstein distance.

Document Classification General Classification +1

RIDI: Robust IMU Double Integration

1 code implementation ECCV 2018 Hang Yan, Qi Shan, Yasutaka Furukawa

This paper proposes a novel data-driven approach for inertial navigation, which learns to estimate trajectories of natural human motions just from an inertial measurement unit (IMU) in every smartphone.

Multi-way Particle Swarm Fusion

no code implementations5 Dec 2016 Chen Liu, Hang Yan, Pushmeet Kohli, Yasutaka Furukawa

This paper proposes a novel MAP inference framework for Markov Random Field (MRF) in parallel computing environments.

Optical Flow Estimation

Turning an Urban Scene Video into a Cinemagraph

no code implementations CVPR 2017 Hang Yan, Yebin Liu, Yasutaka Furukawa

Our approach first warps an input video into the viewpoint of a reference camera.

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