Search Results for author: Yuanbin Wu

Found 53 papers, 20 papers with code

Understanding Gender Bias in Knowledge Base Embeddings

no code implementations ACL 2022 Yupei Du, Qi Zheng, Yuanbin Wu, Man Lan, Yan Yang, Meirong Ma

To exemplify the potential applications of our study, we also present two strategies (by adding and removing KB triples) to mitigate gender biases in KB embeddings.

Pre-training Entity Relation Encoder with Intra-span and Inter-span Information

no code implementations EMNLP 2020 Yijun Wang, Changzhi Sun, Yuanbin Wu, Junchi Yan, Peng Gao, Guotong Xie

In particular, a span encoder is trained to recover a random shuffling of tokens in a span, and a span pair encoder is trained to predict positive pairs that are from the same sentences and negative pairs that are from different sentences using contrastive loss.

Relation Relation Extraction +1

Text2MDT: Extracting Medical Decision Trees from Medical Texts

1 code implementation4 Jan 2024 Wei Zhu, Wenfeng Li, Xing Tian, Pengfei Wang, Xiaoling Wang, Jin Chen, Yuanbin Wu, Yuan Ni, Guotong Xie

In this work, we propose a novel task, Text2MDT, to explore the automatic extraction of MDTs from medical texts such as medical guidelines and textbooks.

Unlearning with Fisher Masking

no code implementations9 Oct 2023 Yufang Liu, Changzhi Sun, Yuanbin Wu, Aimin Zhou

Experiments on various datasets and network structures show the effectiveness of the method: without any fine-tuning, the proposed Fisher masking could unlearn almost completely while maintaining most of the performance on the remain data.

Machine Unlearning

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition

1 code implementation21 May 2023 Limao Xiong, Jie zhou, Qunxi Zhu, Xiao Wang, Yuanbin Wu, Qi Zhang, Tao Gui, Xuanjing Huang, Jin Ma, Ying Shan

Particularly, we propose a Confidence-based Partial Label Learning (CPLL) method to integrate the prior confidence (given by annotators) and posterior confidences (learned by models) for crowd-annotated NER.

named-entity-recognition Named Entity Recognition +2

CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors

1 code implementation9 May 2023 Peng Li, Tianxiang Sun, Qiong Tang, Hang Yan, Yuanbin Wu, Xuanjing Huang, Xipeng Qiu

A common practice is to recast the task into a text-to-text format such that generative LLMs of natural language (NL-LLMs) like GPT-3 can be prompted to solve it.

Code Generation Few-Shot Learning +4

LightEA: A Scalable, Robust, and Interpretable Entity Alignment Framework via Three-view Label Propagation

2 code implementations19 Oct 2022 Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan

Entity Alignment (EA) aims to find equivalent entity pairs between KGs, which is the core step of bridging and integrating multi-source KGs.

Entity Alignment

Prompt-based Connective Prediction Method for Fine-grained Implicit Discourse Relation Recognition

1 code implementation13 Oct 2022 Hao Zhou, Man Lan, Yuanbin Wu, Yuefeng Chen, Meirong Ma

Due to the absence of connectives, implicit discourse relation recognition (IDRR) is still a challenging and crucial task in discourse analysis.

Multi-Task Learning Relation

Few Clean Instances Help Denoising Distant Supervision

1 code implementation COLING 2022 Yufang Liu, Ziyin Huang, Yijun Wang, Changzhi Sun, Man Lan, Yuanbin Wu, Xiaofeng Mou, Ding Wang

Existing distantly supervised relation extractors usually rely on noisy data for both model training and evaluation, which may lead to garbage-in-garbage-out systems.


A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation

1 code implementation14 Oct 2021 Shen Liu, Meirong Ma, Hao Yuan, Jianchao Zhu, Yuanbin Wu, Man Lan

Pun location is to identify the punning word (usually a word or a phrase that makes the text ambiguous) in a given short text, and pun interpretation is to find out two different meanings of the punning word.

Word Sense Disambiguation

From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment

1 code implementation EMNLP 2021 Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan

Cross-lingual entity alignment (EA) aims to find the equivalent entities between crosslingual KGs, which is a crucial step for integrating KGs.

Ranked #4 on Entity Alignment on dbp15k fr-en (using extra training data)

Entity Alignment

Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness

1 code implementation11 Aug 2021 Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan

Entity alignment (EA) aims to find the equivalent entities in different KGs, which is a crucial step in integrating multiple KGs.

Ranked #6 on Entity Alignment on dbp15k ja-en (using extra training data)

Entity Alignment Graph Sampling

ENPAR:Enhancing Entity and Entity Pair Representations for Joint Entity Relation Extraction

1 code implementation EACL 2021 Yijun Wang, Changzhi Sun, Yuanbin Wu, Hao Zhou, Lei LI, Junchi Yan

Current state-of-the-art systems for joint entity relation extraction (Luan et al., 2019; Wad-den et al., 2019) usually adopt the multi-task learning framework.

coreference-resolution Entity Typing +5

Boosting the Speed of Entity Alignment 10*: Dual Attention Matching Network with Normalized Hard Sample Mining

1 code implementation29 Mar 2021 Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan

Seeking the equivalent entities among multi-source Knowledge Graphs (KGs) is the pivotal step to KGs integration, also known as \emph{entity alignment} (EA).

Entity Alignment Knowledge Graphs

Generating CCG Categories

1 code implementation15 Mar 2021 Yufang Liu, Tao Ji, Yuanbin Wu, Man Lan

Previous CCG supertaggers usually predict categories using multi-class classification.

Multi-class Classification Sentence

In-Order Chart-Based Constituent Parsing

no code implementations8 Feb 2021 Yang Wei, Yuanbin Wu, Man Lan

We propose a novel in-order chart-based model for constituent parsing.

SentiX: A Sentiment-Aware Pre-Trained Model for Cross-Domain Sentiment Analysis

1 code implementation COLING 2020 Jie zhou, Junfeng Tian, Rui Wang, Yuanbin Wu, Wenming Xiao, Liang He

However, due to the variety of users{'} emotional expressions across domains, fine-tuning the pre-trained models on the source domain tends to overfit, leading to inferior results on the target domain.

Language Modelling Sentence +1

Relational Reflection Entity Alignment

2 code implementations18 Aug 2020 Xin Mao, Wenting Wang, Huimin Xu, Yuanbin Wu, Man Lan

Entity alignment aims to identify equivalent entity pairs from different Knowledge Graphs (KGs), which is essential in integrating multi-source KGs.

Entity Alignment Knowledge Graphs +1

Visual Attack and Defense on Text

no code implementations7 Aug 2020 Shengjun Liu, Ningkang Jiang, Yuanbin Wu

Modifying characters of a piece of text to their visual similar ones often ap-pear in spam in order to fool inspection systems and other conditions, which we regard as a kind of adversarial attack to neural models.

Adversarial Attack

A Span-based Linearization for Constituent Trees

1 code implementation ACL 2020 Yang Wei, Yuanbin Wu, Man Lan

We propose a novel linearization of a constituent tree, together with a new locally normalized model.


Exploring laser-driven neutron sources for neutron capture cascades and the production of neutron-rich isotopes

no code implementations5 Apr 2020 Paul Hill, Yuanbin Wu

The production of neutron-rich isotopes and the occurrence of neutron capture cascades via laser-driven (pulsed) neutron sources are investigated theoretically.

Nuclear Theory

MRAEA: An Efficient and Robust Entity Alignment Approach for Cross-lingual Knowledge Graph

1 code implementation The International Conference on Web Search and Data Mining (WSDM) 2020 Xin Mao, Wenting Wang, Huimin Xu, Man Lan, Yuanbin Wu

To tackle these challenges, we propose a novel Meta Relation Aware Entity Alignment (MRAEA) to directly model cross-lingual entity embeddings by attending over the node's incoming and outgoing neighbors and its connected relations' meta semantics.

Entity Alignment Entity Embeddings +3

Exploring Human Gender Stereotypes with Word Association Test

no code implementations IJCNLP 2019 Yupei Du, Yuanbin Wu, Man Lan

Specifically, we use random walk on word association graph to derive bias scores for a large amount of words.

Word Embeddings

Graph-based Dependency Parsing with Graph Neural Networks

1 code implementation ACL 2019 Tao Ji, Yuanbin Wu, Man Lan

We investigate the problem of efficiently incorporating high-order features into neural graph-based dependency parsing.

Dependency Parsing

ECNU at SemEval-2018 Task 11: Using Deep Learning Method to Address Machine Comprehension Task

no code implementations SEMEVAL 2018 Yixuan Sheng, Man Lan, Yuanbin Wu

This paper describes the system we submitted to the Task 11 in SemEval 2018, i. e., Machine Comprehension using Commonsense Knowledge.

Machine Reading Comprehension

Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification

no code implementations EMNLP 2017 Man Lan, Jianxiang Wang, Yuanbin Wu, Zheng-Yu Niu, Haifeng Wang

We present a novel multi-task attention based neural network model to address implicit discourse relationship representation and identification through two types of representation learning, an attention based neural network for learning discourse relationship representation with two arguments and a multi-task framework for learning knowledge from annotated and unannotated corpora.

Multi-Task Learning Reading Comprehension +3

ECNU at SemEval-2017 Task 3: Using Traditional and Deep Learning Methods to Address Community Question Answering Task

no code implementations SEMEVAL 2017 Guoshun Wu, Yixuan Sheng, Man Lan, Yuanbin Wu

This paper describes the systems we submitted to the task 3 (Community Question Answering) in SemEval 2017 which contains three subtasks on English corpora, i. e., subtask A: Question-Comment Similarity, subtask B: Question-Question Similarity, and subtask C: Question-External Comment Similarity.

Community Question Answering Question Similarity +1

A Fast and Lightweight System for Multilingual Dependency Parsing

no code implementations CONLL 2017 Tao Ji, Yuanbin Wu, Man Lan

We present a multilingual dependency parser with a bidirectional-LSTM (BiLSTM) feature extractor and a multi-layer perceptron (MLP) classifier.

Dependency Parsing

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