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.
no code implementations • EMNLP 2021 • Tao Ji, Yong Jiang, Tao Wang, Zhongqiang Huang, Fei Huang, Yuanbin Wu, Xiaoling Wang
Transition systems usually contain various dynamic structures (e. g., stacks, buffers).
no code implementations • EMNLP 2021 • Tao Ji, Yong Jiang, Tao Wang, Zhongqiang Huang, Fei Huang, Yuanbin Wu, Xiaoling Wang
Adapting word order from one language to another is a key problem in cross-lingual structured prediction.
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.
no code implementations • 9 May 2024 • Xuanwen Ding, Jie zhou, Liang Dou, Qin Chen, Yuanbin Wu, Chengcai Chen, Liang He
Few works propose continual learning tasks for ABSA, which aim to learn the target domain's ability while maintaining the history domains' abilities.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +3
1 code implementation • 18 Apr 2024 • Jie Wang, Tao Ji, Yuanbin Wu, Hang Yan, Tao Gui, Qi Zhang, Xuanjing Huang, Xiaoling Wang
Generalizing to longer sentences is important for recent Transformer-based language models.
1 code implementation • 4 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.
no code implementations • 9 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.
1 code implementation • 21 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.
1 code implementation • 9 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.
no code implementations • 7 May 2023 • Yijun Wang, Changzhi Sun, Yuanbin Wu, Lei LI, Junchi Yan, Hao Zhou
Entity relation extraction consists of two sub-tasks: entity recognition and relation extraction.
2 code implementations • 19 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.
Ranked #1 on Entity Alignment on DBP1M DE-EN
1 code implementation • 13 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.
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.
1 code implementation • 14 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.
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)
1 code implementation • 11 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)
1 code implementation • ACL 2021 • Yijun Wang, Changzhi Sun, Yuanbin Wu, Hao Zhou, Lei LI, Junchi Yan
Entities and relations are represented by squares and rectangles in the table.
1 code implementation • Findings (ACL) 2021 • Changzhi Sun, Xinbo Zhang, Jiangjie Chen, Chun Gan, Yuanbin Wu, Jiaze Chen, Hao Zhou, Lei LI
In this paper, we propose PRobr, a novel approach for joint answer prediction and proof generation.
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.
no code implementations • EACL 2021 • Jie zhou, Yuanbin Wu, Changzhi Sun, Liang He
Modelling a word{'}s polarity in different contexts is a key task in sentiment analysis.
1 code implementation • 29 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).
Ranked #2 on Entity Alignment on YAGO-WIKI50K
1 code implementation • 15 Mar 2021 • Yufang Liu, Tao Ji, Yuanbin Wu, Man Lan
Previous CCG supertaggers usually predict categories using multi-class classification.
no code implementations • 8 Feb 2021 • Yang Wei, Yuanbin Wu, Man Lan
We propose a novel in-order chart-based model for constituent parsing.
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.
2 code implementations • 18 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.
Ranked #3 on Entity Alignment on DICEWS-1K
no code implementations • 7 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.
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.
no code implementations • 5 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
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.
Ranked #17 on Entity Alignment on DBP15k zh-en
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.
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.
Ranked #12 on Dependency Parsing on Penn Treebank
no code implementations • ACL 2019 • Changzhi Sun, Yeyun Gong, Yuanbin Wu, Ming Gong, Daxin Jiang, Man Lan, Shiliang Sun, Nan Duan
We develop a new paradigm for the task of joint entity relation extraction.
Ranked #1 on Relation Extraction on ACE 2005 (Sentence Encoder metric)
no code implementations • EMNLP 2018 • Changzhi Sun, Yuanbin Wu, Man Lan, Shiliang Sun, Wenting Wang, Kuang-Chih Lee, Kewen Wu
We investigate the task of joint entity relation extraction.
Ranked #1 on Relation Extraction on ACE 2005 (Sentence Encoder metric)
no code implementations • CONLL 2018 • Tao Ji, Yufang Liu, Yijun Wang, Yuanbin Wu, Man Lan
We describe the graph-based dependency parser in our system (AntNLP) submitted to the CoNLL 2018 UD Shared Task.
no code implementations • SEMEVAL 2018 • Huimin Xu, Man Lan, Yuanbin Wu
This paper describes our submissions to SemEval 2018 task 1.
no code implementations • SEMEVAL 2018 • Junfeng Tian, Man Lan, Yuanbin Wu
This paper presents our submissions to SemEval 2018 Task 12: the Argument Reasoning 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.
no code implementations • SEMEVAL 2018 • Yunxiao Zhou, Man Lan, Yuanbin Wu
This paper describes the system we submitted to Task 10 (Capturing Discriminative Attributes) in SemEval 2018.
no code implementations • SEMEVAL 2018 • Xingwu Lu, Xin Mao, Man Lan, Yuanbin Wu
This paper describes our submissions to Task 2 in SemEval 2018, i. e., Multilingual Emoji Prediction.
no code implementations • NeurIPS 2017 • Yuanbin Wu, Man Lan, Shiliang Sun, Qi Zhang, Xuanjing Huang
In this work, we try to understand the differences between exact and approximate inference algorithms in structured prediction.
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.
no code implementations • SEMEVAL 2017 • Junfeng Tian, Zhiheng Zhou, Man Lan, Yuanbin Wu
To address semantic similarity on multilingual and cross-lingual sentences, we firstly translate other foreign languages into English, and then feed our monolingual English system with various interactive features.
Cross-Lingual Semantic Textual Similarity Machine Translation +1
no code implementations • SEMEVAL 2017 • Yunxiao Zhou, Man Lan, Yuanbin Wu
This paper reports our submission to subtask A of task 4 (Sentiment Analysis in Twitter, SAT) in SemEval 2017, i. e., Message Polarity Classification.
no code implementations • SEMEVAL 2017 • Feixiang Wang, Man Lan, Yuanbin Wu
This paper describes our submissions to task 8 in SemEval 2017, i. e., Determining rumour veracity and support for rumours.
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.
no code implementations • SEMEVAL 2017 • Yuhuan Xiu, Man Lan, Yuanbin Wu
This paper describes our submissions to task 7 in SemEval 2017, i. e., Detection and Interpretation of English Puns.
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.
no code implementations • SEMEVAL 2017 • Mengxiao Jiang, Man Lan, Yuanbin Wu
This paper describes our systems submitted to the Fine-Grained Sentiment Analysis on Financial Microblogs and News task (i. e., Task 5) in SemEval-2017.
no code implementations • EACL 2017 • Changzhi Sun, Yuanbin Wu, Man Lan, Shiliang Sun, Qi Zhang
We investigate the task of open domain opinion relation extraction.