Wei Lu

Orcid: 0000-0003-0827-0382

Affiliations:
  • Singapore University of Technology and Design, Singapore
  • University of Illinois at Urbana-Champaign, IL, USA


According to our database1, Wei Lu authored at least 96 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Generative Models are Self-Watermarked: Declaring Model Authentication through Re-Generation.
CoRR, 2024

2023
Towards Hard Few-Shot Relation Classification.
IEEE Trans. Knowl. Data Eng., September, 2023

Decomposed Prompt Tuning via Low-Rank Reparameterization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Unraveling Feature Extraction Mechanisms in Neural Networks.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Learning Multi-Step Reasoning by Solving Arithmetic Tasks.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Contextual Distortion Reveals Constituency: Masked Language Models are Implicit Parsers.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Tell2Design: A Dataset for Language-Guided Floor Plan Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Tab-CoT: Zero-shot Tabular Chain of Thought.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Leveraging Training Data in Few-Shot Prompting for Numerical Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Sampling Better Negatives for Distantly Supervised Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Implicit n-grams Induced by Recurrence.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Better Few-Shot Relation Extraction with Label Prompt Dropout.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Unsupervised Non-transferable Text Classification.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Differentiable Data Augmentation for Contrastive Sentence Representation Learning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Named Entity and Relation Extraction with Multi-Modal Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Generative Prompt Tuning for Relation Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Better Feature Integration for Named Entity Recognition.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Mixed Cross Entropy Loss for Neural Machine Translation.
Proceedings of the 38th International Conference on Machine Learning, 2021

To be Closer: Learning to Link up Aspects with Opinions.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Uncovering Main Causalities for Long-tailed Information Extraction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Exploring Task Difficulty for Few-Shot Relation Extraction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Interventional Video Grounding With Dual Contrastive Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Entity-Aware Abstractive Multi-Document Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Knowledge Graph Empowered Entity Description Generation.
CoRR, 2020

Learning Latent Forests for Medical Relation Extraction.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Pre-training for Abstractive Document Summarization by Reinstating Source Text.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Position-Aware Tagging for Aspect Sentiment Triplet Extraction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Aspect Sentiment Classification with Aspect-Specific Opinion Spans.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Re-examining the Role of Schema Linking in Text-to-SQL.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

ENT-DESC: Entity Description Generation by Exploring Knowledge Graph.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Attention-Based Context Aware Reasoning for Situation Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Understanding Attention for Text Classification.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Reasoning with Latent Structure Refinement for Document-Level Relation Extraction.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning.
Trans. Assoc. Comput. Linguistics, 2019

Spatio-Temporal Event Detection from Multiple Data Sources.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Joint Detection and Location of English Puns.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Neural Chinese Address Parsing.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Better Modeling of Incomplete Annotations for Named Entity Recognition.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Text2Math: End-to-end Parsing Text into Math Expressions.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Aligning Cross-Lingual Entities with Multi-Aspect Information.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Learning Explicit and Implicit Structures for Targeted Sentiment Analysis.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Dependency-Guided LSTM-CRF for Named Entity Recognition.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Quantity Tagger: A Latent-Variable Sequence Labeling Approach to Solving Addition-Subtraction Word Problems.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Twitter Homophily: Network Based Prediction of User's Occupation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Attention Guided Graph Convolutional Networks for Relation Extraction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

A Neural Multi-digraph Model for Chinese NER with Gazetteers.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Weak Semi-Markov CRFs for NP Chunking in Informal Text.
CoRR, 2018

SemEval-2018 Task 8: Semantic Extraction from CybersecUrity REports using Natural Language Processing (SecureNLP).
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

A Neural Transition-based Model for Nested Mention Recognition.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Neural Segmental Hypergraphs for Overlapping Mention Recognition.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Neural Adaptation Layers for Cross-domain Named Entity Recognition.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Dependency-based Hybrid Trees for Semantic Parsing.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Better Transition-Based AMR Parsing with Refined Search Space.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning Cross-lingual Distributed Logical Representations for Semantic Parsing.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Learning with Structured Representations for Negation Scope Extraction.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Learning Latent Opinions for Aspect-level Sentiment Classification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Investigating Stroke-Level Information for Learning Chinese Word Embeddings.
Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 23rd - to, 2017

A Probabilistic Geographical Aspect-Opinion Model for Geo-Tagged Microblogs.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Labeling Gaps Between Words: Recognizing Overlapping Mentions with Mention Separators.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Neural Architectures for Multilingual Semantic Parsing.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

MalwareTextDB: A Database for Annotated Malware Articles.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Topical Coherence in LDA-based Models through Induced Segmentation.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Semantic Parsing with Neural Hybrid Trees.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Learning Latent Sentiment Scopes for Entity-Level Sentiment Analysis.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Efficient Dependency-Guided Named Entity Recognition.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Improving Word Embeddings with Convolutional Feature Learning and Subword Information.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Improving Semantic Parsing with Enriched Synchronous Context-Free Grammars in Statistical Machine Translation.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2016

Weak Semi-Markov CRFs for Noun Phrase Chunking in Informal Text.
Proceedings of the NAACL HLT 2016, 2016

Learning to Capitalize with Character-Level Recurrent Neural Networks: An Empirical Study.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Learning to Recognize Discontiguous Entities.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

A General Regularization Framework for Domain Adaptation.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Deep Neural Networks for Learning Graph Representations.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
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, 2015

Joint Mention Extraction and Classification with Mention Hypergraphs.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Improving Semantic Parsing with Enriched Synchronous Context-Free Grammar.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

GraRep: Learning Graph Representations with Global Structural Information.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Constrained Semantic Forests for Improved Discriminative Semantic Parsing.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Semantic Parsing with Relaxed Hybrid Trees.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Multilingual Semantic Parsing : Parsing Multiple Languages into Semantic Representations.
Proceedings of the COLING 2014, 2014

2012
Joint Inference for Event Timeline Construction.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Automatic Event Extraction with Structured Preference Modeling.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
A Probabilistic Forest-to-String Model for Language Generation from Typed Lambda Calculus Expressions.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

2010
Better Punctuation Prediction with Dynamic Conditional Random Fields.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

2009
Natural Language Generation with Tree Conditional Random Fields.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

2008
A Generative Model for Parsing Natural Language to Meaning Representations.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

2007
Supervised categorization of JavaScript<sup>TM</sup> using program analysis features.
Inf. Process. Manag., 2007


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