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Wei Lu 0011
Person information
- affiliation: Singapore University of Technology and Design, Singapore
- affiliation: University of Illinois at Urbana-Champaign, IL, USA
Other persons with the same name
- Wei Lu — disambiguation page
- Wei Lu 0001 — Sun Yat-sen University, School of Information Science and Technology, Guangzhou, China (and 2 more)
- Wei Lu 0002 — Rupert Labs, Mountain View, CA, USA (and 1 more)
- Wei Lu 0003 (aka: Wei D. Lu) — University of Michigan, Department of Electrical Engineering and Computer Science, MI, USA (and 3 more)
- Wei Lu 0004 — Oak Ridge Naional Laboratory, Computational Science and Engineering Division, Knoxville, TN, USA (and 1 more)
- Wei Lu 0005 — Dalian University of Technology, School of Control Science and Engineering, China
- Wei Lu 0006 — University of Electronic Science and Technology of China, School of Management and Economics, Chengdu, China (and 1 more)
- Wei Lu 0007 — University of Science and Technology of China, School of Information Science and Technology, Hefei, China
- Wei Lu 0008 — Wuhan University, School of Resource and Environmental Sciences, China
- Wei Lu 0009 — Hefei University of Technology, School of Electrical Engineering and Automation, China
- Wei Lu 0010 — Beijing Jiaotong University, School of Software Engineering, China (and 1 more)
- Wei Lu 0012 — University of Paris-Saclay, France
- Wei Lu 0013 — Air Force Early Warning Academy, Wuhan, China
- Wei Lu 0014 — Tianjin University, School of Microelectronics, China
- Wei Lu 0015 — Renmin University of China, School of Information and DEKE, Beijing, China
- Wei Lu 0016 — Jiangxi Normal University, School of Software, Nanchang, China
- Wei Lu 0017 — University of New South Wales, Graduate School of Biomedical Engineering, Sydney, NSW, Australia
- Wei Lu 0018 — Keene State College, NH, USA (and 1 more)
- Wei Lu 0019 — Wuhan University, School of Information Management, China
- Wei Lu 0020 — University of Toronto, Toronto, ON, Canada
- Wei Lu 0021 — Shanghai Jiao Tong University, Institute of Image Communication and Network Engineering, China
- Wei Lu 0022 — Southeast University, School of Mathematics, Nanjing, China
- Wei Lu 0023 — Huawei Technologies Canada Company Ltd., Edmonton, Canada
- Wei Lu 0024 — Iowa State University, Ames, IA, USA
- Wei Lu 0025 — Memorial Sloan Kettering Cancer Center, Department of Medical Physics, NY, USA (and 3 more)
- Wei Lu 0026 — Tianjin University, School of Electrical and Information Engineering, China
- Wei Lu 0027 — National Institute of Informatics, Japan (and 1 more)
- Wei Lu 0028 — Hewlett-Packard, IPG R&D Hub, Singapore (and 2 more)
- Wei Lu 0029 — Tsinghua University, Department of Engineering Physics, Beijing, China (and 1 more)
- Wei Lu 0030 — Ant Group: Hangzhou, China
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2020 – today
- 2024
- [c94]Mohammed Haroon Dupty, Yanfei Dong, Sicong Leng, Guoji Fu, Yong Liang Goh, Wei Lu, Wee Sun Lee:
Constrained Layout Generation with Factor Graphs. CVPR 2024: 12851-12860 - [i53]Haoran Li, Qingxiu Dong, Zhengyang Tang, Chaojun Wang, Xingxing Zhang, Haoyang Huang, Shaohan Huang, Xiaolong Huang, Zeqiang Huang, Dongdong Zhang, Yuxian Gu, Xin Cheng, Xun Wang, Si-Qing Chen, Li Dong, Wei Lu, Zhifang Sui, Benyou Wang, Wai Lam, Furu Wei:
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models. CoRR abs/2402.13064 (2024) - [i52]Aditya Desu, Xuanli He, Qiongkai Xu, Wei Lu:
Generative Models are Self-Watermarked: Declaring Model Authentication through Re-Generation. CoRR abs/2402.16889 (2024) - [i51]Mohammed Haroon Dupty, Yanfei Dong, Sicong Leng, Guoji Fu, Yong Liang Goh, Wei Lu, Wee Sun Lee:
Constrained Layout Generation with Factor Graphs. CoRR abs/2404.00385 (2024) - 2023
- [j5]Jiale Han, Bo Cheng, Zhiguo Wan, Wei Lu:
Towards Hard Few-Shot Relation Classification. IEEE Trans. Knowl. Data Eng. 35(9): 9476-9489 (2023) - [c93]Tianduo Wang, Wei Lu:
Learning Multi-Step Reasoning by Solving Arithmetic Tasks. ACL (2) 2023: 1229-1238 - [c92]Lu Xu, Lidong Bing, Wei Lu:
Sampling Better Negatives for Distantly Supervised Named Entity Recognition. ACL (Findings) 2023: 4874-4882 - [c91]Jiaxi Li, Wei Lu:
Contextual Distortion Reveals Constituency: Masked Language Models are Implicit Parsers. ACL (1) 2023: 5208-5222 - [c90]Guangtao Zeng, Peiyuan Zhang, Wei Lu:
One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning. ACL (1) 2023: 7564-7580 - [c89]Ziqi Jin, Wei Lu:
Tab-CoT: Zero-shot Tabular Chain of Thought. ACL (Findings) 2023: 10259-10277 - [c88]Zhanming Jie, Wei Lu:
Leveraging Training Data in Few-Shot Prompting for Numerical Reasoning. ACL (Findings) 2023: 10518-10526 - [c87]Sicong Leng, Yang Zhou, Mohammed Haroon Dupty, Wee Sun Lee, Sam Joyce, Wei Lu:
Tell2Design: A Dataset for Language-Guided Floor Plan Generation. ACL (1) 2023: 14680-14697 - [c86]Ang Li, Jian Hu, Wei Lu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He, Liang Zhang, Lihong Gu:
Global-Aware Model-Free Self-distillation for Recommendation System. DASFAA (4) 2023: 515-518 - [c85]Xiaobing Sun, Jiaxi Li, Wei Lu:
Unraveling Feature Extraction Mechanisms in Neural Networks. EMNLP 2023: 10505-10530 - [c84]Yao Xiao, Lu Xu, Jiaxi Li, Wei Lu, Xiaoli Li:
Decomposed Prompt Tuning via Low-Rank Reparameterization. EMNLP (Findings) 2023: 13335-13347 - [c83]Haoran Li, Yiran Liu, Xingxing Zhang, Wei Lu, Furu Wei:
Tuna: Instruction Tuning using Feedback from Large Language Models. EMNLP (Findings) 2023: 15146-15163 - [i50]Lu Xu, Lidong Bing, Wei Lu:
Better Sampling of Negatives for Distantly Supervised Named Entity Recognition. CoRR abs/2305.13142 (2023) - [i49]Guangtao Zeng, Peiyuan Zhang, Wei Lu:
One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning. CoRR abs/2305.17682 (2023) - [i48]Ziqi Jin, Wei Lu:
Tab-CoT: Zero-shot Tabular Chain of Thought. CoRR abs/2305.17812 (2023) - [i47]Zhanming Jie, Wei Lu:
Leveraging Training Data in Few-Shot Prompting for Numerical Reasoning. CoRR abs/2305.18170 (2023) - [i46]Jiaxi Li, Wei Lu:
Contextual Distortion Reveals Constituency: Masked Language Models are Implicit Parsers. CoRR abs/2306.00645 (2023) - [i45]Tianduo Wang, Wei Lu:
Learning Multi-Step Reasoning by Solving Arithmetic Tasks. CoRR abs/2306.01707 (2023) - [i44]Yao Xiao, Lu Xu, Jiaxi Li, Wei Lu, Xiaoli Li:
Decomposed Prompt Tuning via Low-Rank Reparameterization. CoRR abs/2310.10094 (2023) - [i43]Haoran Li, Yiran Liu, Xingxing Zhang, Wei Lu, Furu Wei:
Tuna: Instruction Tuning using Feedback from Large Language Models. CoRR abs/2310.13385 (2023) - [i42]Xiaobing Sun, Jiaxi Li, Wei Lu:
Unraveling Feature Extraction Mechanisms in Neural Networks. CoRR abs/2310.16350 (2023) - [i41]Sicong Leng, Yang Zhou, Mohammed Haroon Dupty, Wee Sun Lee, Sam Conrad Joyce, Wei Lu:
Tell2Design: A Dataset for Language-Guided Floor Plan Generation. CoRR abs/2311.15941 (2023) - 2022
- [c82]Zhanming Jie, Jierui Li, Wei Lu:
Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction. ACL (1) 2022: 5944-5955 - [c81]Jiale Han, Shuai Zhao, Bo Cheng, Shengkun Ma, Wei Lu:
Generative Prompt Tuning for Relation Classification. EMNLP (Findings) 2022: 3170-3185 - [c80]Xinyu Wang, Jiong Cai, Yong Jiang, Pengjun Xie, Kewei Tu, Wei Lu:
Named Entity and Relation Extraction with Multi-Modal Retrieval. EMNLP (Findings) 2022: 5925-5936 - [c79]Peiyuan Zhang, Wei Lu:
Better Few-Shot Relation Extraction with Label Prompt Dropout. EMNLP 2022: 6996-7006 - [c78]Tianduo Wang, Wei Lu:
Differentiable Data Augmentation for Contrastive Sentence Representation Learning. EMNLP 2022: 7640-7653 - [c77]Guangtao Zeng, Wei Lu:
Unsupervised Non-transferable Text Classification. EMNLP 2022: 10071-10084 - [c76]Xiaobing Sun, Wei Lu:
Implicit n-grams Induced by Recurrence. NAACL-HLT 2022: 1624-1639 - [c75]Xinyu Wang, Yongliang Shen, Jiong Cai, Tao Wang, Xiaobin Wang, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang, Kewei Tu, Wei Lu, Yong Jiang:
DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition. SemEval@NAACL 2022: 1457-1468 - [e3]Wei Lu, Shujian Huang, Yu Hong, Xiabing Zhou:
Natural Language Processing and Chinese Computing - 11th CCF International Conference, NLPCC 2022, Guilin, China, September 24-25, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13551, Springer 2022, ISBN 978-3-031-17119-2 [contents] - [e2]Wei Lu, Shujian Huang, Yu Hong, Xiabing Zhou:
Natural Language Processing and Chinese Computing - 11th CCF International Conference, NLPCC 2022, Guilin, China, September 24-25, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13552, Springer 2022, ISBN 978-3-031-17188-8 [contents] - [i40]Xinyu Wang, Yongliang Shen, Jiong Cai, Tao Wang, Xiaobin Wang, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang, Kewei Tu, Wei Lu, Yong Jiang:
DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition. CoRR abs/2203.00545 (2022) - [i39]Zhanming Jie, Jierui Li, Wei Lu:
Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction. CoRR abs/2203.10316 (2022) - [i38]Jiale Han, Shuai Zhao, Bo Cheng, Shengkun Ma, Wei Lu:
Generative Prompt Tuning for Relation Classification. CoRR abs/2210.12435 (2022) - [i37]Guangtao Zeng, Wei Lu:
Unsupervised Non-transferable Text Classification. CoRR abs/2210.12651 (2022) - [i36]Peiyuan Zhang, Wei Lu:
Better Few-Shot Relation Extraction with Label Prompt Dropout. CoRR abs/2210.13733 (2022) - [i35]Tianduo Wang, Wei Lu:
Differentiable Data Augmentation for Contrastive Sentence Representation Learning. CoRR abs/2210.16536 (2022) - [i34]Xinyu Wang, Jiong Cai, Yong Jiang, Pengjun Xie, Kewei Tu, Wei Lu:
Named Entity and Relation Extraction with Multi-Modal Retrieval. CoRR abs/2212.01612 (2022) - 2021
- [c74]Hao Zhou, Weidong Ren, Gongshen Liu, Bo Su, Wei Lu:
Entity-Aware Abstractive Multi-Document Summarization. ACL/IJCNLP (Findings) 2021: 351-362 - [c73]Guoshun Nan, Rui Qiao, Yao Xiao, Jun Liu, Sicong Leng, Hao Zhang, Wei Lu:
Interventional Video Grounding With Dual Contrastive Learning. CVPR 2021: 2765-2775 - [c72]Jiale Han, Bo Cheng, Wei Lu:
Exploring Task Difficulty for Few-Shot Relation Extraction. EMNLP (1) 2021: 2605-2616 - [c71]Yuxiang Zhou, Lejian Liao, Yang Gao, Zhanming Jie, Wei Lu:
To be Closer: Learning to Link up Aspects with Opinions. EMNLP (1) 2021: 3899-3909 - [c70]Guoshun Nan, Jiaqi Zeng, Rui Qiao, Zhijiang Guo, Wei Lu:
Uncovering Main Causalities for Long-tailed Information Extraction. EMNLP (1) 2021: 9683-9695 - [c69]Haoran Li, Wei Lu:
Mixed Cross Entropy Loss for Neural Machine Translation. ICML 2021: 6425-6436 - [c68]Lu Xu, Zhanming Jie, Wei Lu, Lidong Bing:
Better Feature Integration for Named Entity Recognition. NAACL-HLT 2021: 3457-3469 - [i33]Lu Xu, Zhanming Jie, Wei Lu, Lidong Bing:
Better Feature Integration for Named Entity Recognition. CoRR abs/2104.05316 (2021) - [i32]Guoshun Nan, Rui Qiao, Yao Xiao, Jun Liu, Sicong Leng, Hao Zhang, Wei Lu:
Interventional Video Grounding with Dual Contrastive Learning. CoRR abs/2106.11013 (2021) - [i31]Haoran Li, Wei Lu:
Mixed Cross Entropy Loss for Neural Machine Translation. CoRR abs/2106.15880 (2021) - [i30]Guoshun Nan, Jiaqi Zeng, Rui Qiao, Zhijiang Guo, Wei Lu:
Uncovering Main Causalities for Long-tailed Information Extraction. CoRR abs/2109.05213 (2021) - [i29]Jiale Han, Bo Cheng, Wei Lu:
Exploring Task Difficulty for Few-Shot Relation Extraction. CoRR abs/2109.05473 (2021) - [i28]Yuxiang Zhou, Lejian Liao, Yang Gao, Zhanming Jie, Wei Lu:
To be Closer: Learning to Link up Aspects with Opinions. CoRR abs/2109.08382 (2021) - 2020
- [c67]Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si:
Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis. AAAI 2020: 8600-8607 - [c66]Guoshun Nan, Zhijiang Guo, Ivan Sekulic, Wei Lu:
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction. ACL 2020: 1546-1557 - [c65]Xiaobing Sun, Wei Lu:
Understanding Attention for Text Classification. ACL 2020: 3418-3428 - [c64]Thilini Cooray, Ngai-Man Cheung, Wei Lu:
Attention-Based Context Aware Reasoning for Situation Recognition. CVPR 2020: 4735-4744 - [c63]Liying Cheng, Dekun Wu, Lidong Bing, Yan Zhang, Zhanming Jie, Wei Lu, Luo Si:
ENT-DESC: Entity Description Generation by Exploring Knowledge Graph. EMNLP (1) 2020: 1187-1197 - [c62]Jue Wang, Wei Lu:
Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders. EMNLP (1) 2020: 1706-1721 - [c61]Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing:
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation. EMNLP (1) 2020: 2162-2172 - [c60]Lu Xu, Hao Li, Wei Lu, Lidong Bing:
Position-Aware Tagging for Aspect Sentiment Triplet Extraction. EMNLP (1) 2020: 2339-2349 - [c59]Lu Xu, Lidong Bing, Wei Lu, Fei Huang:
Aspect Sentiment Classification with Aspect-Specific Opinion Spans. EMNLP (1) 2020: 3561-3567 - [c58]Yanyan Zou, Xingxing Zhang, Wei Lu, Furu Wei, Ming Zhou:
Pre-training for Abstractive Document Summarization by Reinstating Source Text. EMNLP (1) 2020: 3646-3660 - [c57]Wenqiang Lei, Weixin Wang, Zhixin Ma, Tian Gan, Wei Lu, Min-Yen Kan, Tat-Seng Chua:
Re-examining the Role of Schema Linking in Text-to-SQL. EMNLP (1) 2020: 6943-6954 - [c56]Liying Cheng, Lidong Bing, Qian Yu, Wei Lu, Luo Si:
APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning. EMNLP (1) 2020: 7000-7011 - [c55]Zhijiang Guo, Guoshun Nan, Wei Lu, Shay B. Cohen:
Learning Latent Forests for Medical Relation Extraction. IJCAI 2020: 3651-3657 - [i27]Yanyan Zou, Xingxing Zhang, Wei Lu, Furu Wei, Ming Zhou:
STEP: Sequence-to-Sequence Transformer Pre-training for Document Summarization. CoRR abs/2004.01853 (2020) - [i26]Liying Cheng, Yan Zhang, Dekun Wu, Zhanming Jie, Lidong Bing, Wei Lu, Luo Si:
Knowledge Graph Empowered Entity Description Generation. CoRR abs/2004.14813 (2020) - [i25]Guoshun Nan, Zhijiang Guo, Ivan Sekulic, Wei Lu:
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction. CoRR abs/2005.06312 (2020) - [i24]Lu Xu, Hao Li, Wei Lu, Lidong Bing:
Position-Aware Tagging for Aspect Sentiment Triplet Extraction. CoRR abs/2010.02609 (2020) - [i23]Lu Xu, Lidong Bing, Wei Lu, Fei Huang:
Aspect Sentiment Classification with Aspect-Specific Opinion Spans. CoRR abs/2010.02696 (2020) - [i22]Jue Wang, Wei Lu:
Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders. CoRR abs/2010.03851 (2020) - [i21]Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing:
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation. CoRR abs/2010.04383 (2020)
2010 – 2019
- 2019
- [j4]Zhijiang Guo, Yan Zhang, Zhiyang Teng, Wei Lu:
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning. Trans. Assoc. Comput. Linguistics 7: 297-312 (2019) - [c54]Zhijiang Guo, Yan Zhang, Wei Lu:
Attention Guided Graph Convolutional Networks for Relation Extraction. ACL (1) 2019: 241-251 - [c53]Ruixue Ding, Pengjun Xie, Xiaoyan Zhang, Wei Lu, Linlin Li, Luo Si:
A Neural Multi-digraph Model for Chinese NER with Gazetteers. ACL (1) 2019: 1462-1467 - [c52]Jiaqi Pan, Rishabh Bhardwaj, Wei Lu, Hai Leong Chieu, Xinghao Pan, Ni Yi Puay:
Twitter Homophily: Network Based Prediction of User's Occupation. ACL (1) 2019: 2633-2638 - [c51]Yanyan Zou, Wei Lu:
Quantity Tagger: A Latent-Variable Sequence Labeling Approach to Solving Addition-Subtraction Word Problems. ACL (1) 2019: 5246-5251 - [c50]Zhanming Jie, Wei Lu:
Dependency-Guided LSTM-CRF for Named Entity Recognition. EMNLP/IJCNLP (1) 2019: 3860-3870 - [c49]Hsiu-Wei Yang, Yanyan Zou, Peng Shi, Wei Lu, Jimmy Lin, Xu Sun:
Aligning Cross-Lingual Entities with Multi-Aspect Information. EMNLP/IJCNLP (1) 2019: 4430-4440 - [c48]Yanyan Zou, Wei Lu:
Text2Math: End-to-end Parsing Text into Math Expressions. EMNLP/IJCNLP (1) 2019: 5326-5336 - [c47]Hao Li, Wei Lu:
Learning Explicit and Implicit Structures for Targeted Sentiment Analysis. EMNLP/IJCNLP (1) 2019: 5477-5487 - [c46]Bailin Wang, Wei Lu:
Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities. EMNLP/IJCNLP (1) 2019: 6215-6223 - [c45]Zhanming Jie, Pengjun Xie, Wei Lu, Ruixue Ding, Linlin Li:
Better Modeling of Incomplete Annotations for Named Entity Recognition. NAACL-HLT (1) 2019: 729-734 - [c44]Yanyan Zou, Wei Lu:
Joint Detection and Location of English Puns. NAACL-HLT (1) 2019: 2117-2123 - [c43]Hao Li, Wei Lu, Pengjun Xie, Linlin Li:
Neural Chinese Address Parsing. NAACL-HLT (1) 2019: 3421-3431 - [c42]Aman Ahuja, Ashish Baghudana, Wei Lu, Edward A. Fox, Chandan K. Reddy:
Spatio-Temporal Event Detection from Multiple Data Sources. PAKDD (1) 2019: 293-305 - [i20]Wei Yang, Wei Lu, Vincent W. Zheng:
A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings. CoRR abs/1902.00184 (2019) - [i19]Zhijiang Guo, Yan Zhang, Wei Lu:
Attention Guided Graph Convolutional Networks for Relation Extraction. CoRR abs/1906.07510 (2019) - [i18]Zhijiang Guo, Yan Zhang, Zhiyang Teng, Wei Lu:
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning. CoRR abs/1908.05957 (2019) - [i17]Yanyan Zou, Wei Lu:
Joint Detection and Location of English Puns. CoRR abs/1909.00175 (2019) - [i16]Yanyan Zou, Wei Lu:
Quantity Tagger: A Latent-Variable Sequence Labeling Approach to Solving Addition-Subtraction Word Problems. CoRR abs/1909.00176 (2019) - [i15]Bailin Wang, Wei Lu:
Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities. CoRR abs/1909.00930 (2019) - [i14]Hao Li, Wei Lu:
Learning Explicit and Implicit Structures for Targeted Sentiment Analysis. CoRR abs/1909.07593 (2019) - [i13]Zhanming Jie, Wei Lu:
Dependency-Guided LSTM-CRF for Named Entity Recognition. CoRR abs/1909.10148 (2019) - [i12]Yanyan Zou, Wei Lu:
Text2Math: End-to-end Parsing Text into Math Expressions. CoRR abs/1910.06571 (2019) - [i11]Hsiu-Wei Yang, Yanyan Zou, Peng Shi, Wei Lu, Jimmy Lin, Xu Sun:
Aligning Cross-Lingual Entities with Multi-Aspect Information. CoRR abs/1910.06575 (2019) - [i10]Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si:
Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis. CoRR abs/1911.01616 (2019) - 2018
- [c41]Shaosheng Cao, Wei Lu, Jun Zhou, Xiaolong Li:
cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information. AAAI 2018: 5053-5061 - [c40]Bailin Wang, Wei Lu:
Learning Latent Opinions for Aspect-level Sentiment Classification. AAAI 2018: 5537-5544 - [c39]Hao Li, Wei Lu:
Learning with Structured Representations for Negation Scope Extraction. ACL (2) 2018: 533-539 - [c38]Yanyan Zou, Wei Lu:
Learning Cross-lingual Distributed Logical Representations for Semantic Parsing. ACL (2) 2018: 673-679 - [c37]Bailin Wang, Wei Lu:
Neural Segmental Hypergraphs for Overlapping Mention Recognition. EMNLP 2018: 204-214 - [c36]Bailin Wang, Wei Lu, Yu Wang, Hongxia Jin:
A Neural Transition-based Model for Nested Mention Recognition. EMNLP 2018: 1011-1017 - [c35]Zhijiang Guo, Wei Lu:
Better Transition-Based AMR Parsing with Refined Search Space. EMNLP 2018: 1712-1722 - [c34]Bill Yuchen Lin, Wei Lu:
Neural Adaptation Layers for Cross-domain Named Entity Recognition. EMNLP 2018: 2012-2022 - [c33]Zhanming Jie, Wei Lu:
Dependency-based Hybrid Trees for Semantic Parsing. EMNLP 2018: 2431-2441 - [c32]Peter Phandi, Amila Silva, Wei Lu:
SemEval-2018 Task 8: Semantic Extraction from CybersecUrity REports using Natural Language Processing (SecureNLP). SemEval@NAACL-HLT 2018: 697-706 - [e1]Eduardo Blanco, Wei Lu:
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018: System Demonstrations, Brussels, Belgium, October 31 - November 4, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-85-8 [contents] - [i9]Yanyan Zou, Wei Lu:
Learning Cross-lingual Distributed Logical Representations for Semantic Parsing. CoRR abs/1806.05461 (2018) - [i8]Zhanming Jie, Wei Lu:
Dependency-based Hybrid Trees for Semantic Parsing. CoRR abs/1809.00107 (2018) - [i7]Bailin Wang, Wei Lu, Yu Wang, Hongxia Jin:
A Neural Transition-based Model for Nested Mention Recognition. CoRR abs/1810.01808 (2018) - [i6]Bailin Wang, Wei Lu:
Neural Segmental Hypergraphs for Overlapping Mention Recognition. CoRR abs/1810.01817 (2018) - [i5]Bill Yuchen Lin, Wei Lu:
Neural Adaptation Layers for Cross-domain Named Entity Recognition. CoRR abs/1810.06368 (2018) - [i4]Zhanming Jie, Aldrian Obaja Muis, Wei Lu:
Efficient Dependency-Guided Named Entity Recognition. CoRR abs/1810.08436 (2018) - [i3]Aldrian Obaja Muis, Wei Lu:
Weak Semi-Markov CRFs for NP Chunking in Informal Text. CoRR abs/1810.08567 (2018) - [i2]Aldrian Obaja Muis, Wei Lu:
Learning to Recognize Discontiguous Entities. CoRR abs/1810.08579 (2018) - [i1]Aldrian Obaja Muis, Wei Lu:
Labeling Gaps Between Words: Recognizing Overlapping Mentions with Mention Separators. CoRR abs/1810.09073 (2018) - 2017
- [c31]Shaosheng Cao, Wei Lu:
Improving Word Embeddings with Convolutional Feature Learning and Subword Information. AAAI 2017: 3144-3151 - [c30]Raymond Hendy Susanto, Wei Lu:
Semantic Parsing with Neural Hybrid Trees. AAAI 2017: 3309-3315 - [c29]Zhanming Jie, Aldrian Obaja Muis, Wei Lu:
Efficient Dependency-Guided Named Entity Recognition. AAAI 2017: 3457-3465 - [c28]Hao Li, Wei Lu:
Learning Latent Sentiment Scopes for Entity-Level Sentiment Analysis. AAAI 2017: 3482-3489 - [c27]Raymond Hendy Susanto, Wei Lu:
Neural Architectures for Multilingual Semantic Parsing. ACL (2) 2017: 38-44 - [c26]Swee Kiat Lim, Aldrian Obaja Muis, Wei Lu, Ong Chen Hui:
MalwareTextDB: A Database for Annotated Malware Articles. ACL (1) 2017: 1557-1567 - [c25]Hesam Amoualian, Wei Lu, Éric Gaussier, Georgios Balikas, Massih-Reza Amini, Marianne Clausel:
Topical Coherence in LDA-based Models through Induced Segmentation. ACL (1) 2017: 1799-1809 - [c24]Aldrian Obaja Muis, Wei Lu:
Labeling Gaps Between Words: Recognizing Overlapping Mentions with Mention Separators. EMNLP 2017: 2608-2618 - [c23]Wei Yang, Wei Lu, Vincent W. Zheng:
A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings. EMNLP 2017: 2898-2904 - [c22]Aman Ahuja, Wei Wei, Wei Lu, Kathleen M. Carley, Chandan K. Reddy:
A Probabilistic Geographical Aspect-Opinion Model for Geo-Tagged Microblogs. ICDM 2017: 721-726 - [c21]Shaosheng Cao, Wei Lu, Jun Zhou, Xiaolong Li:
Investigating Stroke-Level Information for Learning Chinese Word Embeddings. ISWC (Posters, Demos & Industry Tracks) 2017 - 2016
- [j3]Junhui Li, Muhua Zhu, Wei Lu, Guodong Zhou:
Improving Semantic Parsing with Enriched Synchronous Context-Free Grammars in Statistical Machine Translation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 16(1): 6:1-6:24 (2016) - [c20]Shaosheng Cao, Wei Lu, Qiongkai Xu:
Deep Neural Networks for Learning Graph Representations. AAAI 2016: 1145-1152 - [c19]Aldrian Obaja Muis, Wei Lu:
Learning to Recognize Discontiguous Entities. EMNLP 2016: 75-84 - [c18]Wei Lu, Hai Leong Chieu, Jonathan Löfgren:
A General Regularization Framework for Domain Adaptation. EMNLP 2016: 950-954 - [c17]Raymond Hendy Susanto, Hai Leong Chieu, Wei Lu:
Learning to Capitalize with Character-Level Recurrent Neural Networks: An Empirical Study. EMNLP 2016: 2090-2095 - [c16]Aldrian Obaja Muis, Wei Lu:
Weak Semi-Markov CRFs for Noun Phrase Chunking in Informal Text. HLT-NAACL 2016: 714-719 - 2015
- [j2]Wei Lu:
Language Processing with Perl and Prolog: Theories, Implemetation, and Application Pierre M. Nugues (Lund University, Sweden) Springer (Cognitive technologies series, edited by A. Bundy et. al), 2014, Second Edition, xxv+662 pp; hardcover, ISBN 978-3-642-41463-3 $89.99; ebook, ISBN 978-3-642-41464-0, $69.99; doi 10.1007/978-3-642-41464-0. Comput. Linguistics 41(4): 697-699 (2015) - [c15]Wei Lu:
Constrained Semantic Forests for Improved Discriminative Semantic Parsing. ACL (2) 2015: 737-742 - [c14]Shaosheng Cao, Wei Lu, Qiongkai Xu:
GraRep: Learning Graph Representations with Global Structural Information. CIKM 2015: 891-900 - [c13]Wei Lu, Dan Roth:
Joint Mention Extraction and Classification with Mention Hypergraphs. EMNLP 2015: 857-867 - [c12]Junhui Li, Muhua Zhu, Wei Lu, Guodong Zhou:
Improving Semantic Parsing with Enriched Synchronous Context-Free Grammar. EMNLP 2015: 1455-1465 - 2014
- [c11]Zhanming Jie, Wei Lu:
Multilingual Semantic Parsing : Parsing Multiple Languages into Semantic Representations. COLING 2014: 1291-1301 - [c10]Wei Lu:
Semantic Parsing with Relaxed Hybrid Trees. EMNLP 2014: 1308-1318 - 2012
- [c9]Wei Lu, Dan Roth:
Automatic Event Extraction with Structured Preference Modeling. ACL (1) 2012: 835-844 - [c8]Quang Do, Wei Lu, Dan Roth:
Joint Inference for Event Timeline Construction. EMNLP-CoNLL 2012: 677-687 - 2011
- [c7]Wei Lu, Hwee Tou Ng:
A Probabilistic Forest-to-String Model for Language Generation from Typed Lambda Calculus Expressions. EMNLP 2011: 1611-1622 - 2010
- [c6]Wei Lu, Hwee Tou Ng:
Better Punctuation Prediction with Dynamic Conditional Random Fields. EMNLP 2010: 177-186
2000 – 2009
- 2009
- [c5]Wei Lu, Hwee Tou Ng, Wee Sun Lee:
Natural Language Generation with Tree Conditional Random Fields. EMNLP 2009: 400-409 - [c4]Preslav Nakov, Chang Liu, Wei Lu, Hwee Tou Ng:
The NUS statistical machine translation system for IWSLT 2009. IWSLT 2009: 91-98 - [c3]Preslav Nakov, Chang Liu, Wei Lu, Hwee Tou Ng:
The NUS statistical machine translation system for IWSLT 2009. IWSLT (Evaluation Campaign) 2009 - 2008
- [c2]Wei Lu, Hwee Tou Ng, Wee Sun Lee, Luke S. Zettlemoyer:
A Generative Model for Parsing Natural Language to Meaning Representations. EMNLP 2008: 783-792 - 2007
- [j1]Wei Lu, Min-Yen Kan:
Supervised categorization of JavaScriptTM using program analysis features. Inf. Process. Manag. 43(2): 431-444 (2007) - 2005
- [c1]Wei Lu, Min-Yen Kan:
Supervised Categorization of JavaScriptTM Using Program Analysis Features. AIRS 2005: 160-173
Coauthor Index
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