Lu Wang is an Assistant Professor of College of Computer and Information Science at Northeastern University since 2015. She is also affiliated with Northeastern NLP group and NULab for Texts, Maps, and Networks. She completed her Ph.D. in the Department of Computer Science at Cornell University, under supervision of Professor Claire Cardie in 2015. She earned her bachelor degrees in Machine Intelligence and Economics from Peking University in 2009.

Lu's research is focused on natural language processing, computational social science, and machine learning. More specifically, Lu works on algorithms for abstractive text summarization, language generation, argument mining, information extraction, and discourse analysis, as well as novel applications that apply such techniques to computational social science and other interdisciplinary subjects. Her work won outstanding short paper award at ACL 2017, and best paper nomination award at SIGDIAL 2012.

Lu's work has been mainly funded by National Science Foundation (NSF), Intelligence Advanced Research Projects Activity (IARPA), and several industry gifts (Tencent AI Lab, Toutiao AI Lab, NVIDIA GPU program, and Amazon Web Service credits).


* We are recruiting! For prospective Ph.D. students, before emailing, please read this note. Visitors are also welcomed to join our group!

* For undergrads who are interested in doing research with me, please read this note.

* Teaching CS6120/CS4120 Natural Language Processing in fall 2017 and spring 2018.

* Interviewed and quoted in CNN article on Offensive chat app responses highlight AI fails .







Publications

Joint Modeling of Content and Discourse Relations in Dialogues
Kechen Qin, Lu Wang, and Joseph Kim.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL), 2017.
[pdf] [bibtex] [slides] [data for consistency of understanding in meetings] [project page (data, code, etc)]

Understanding and Detecting Supporting Arguments of Diverse Types
Xinyu Hua and Lu Wang.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL), short paper, 2017.
[pdf] [bibtex] [project page (data, code, etc)]
ACL Outstanding Paper Award

Winning on the Merits: The Joint Effects of Content and Style on Debate Outcomes
Lu Wang, Nick Beauchamp, Sarah Shugars, and Kechen Qin.
Transactions of the Association for Computational Linguistics (TACL), 2017.
[pdf] [bibtex] [project page (data, code, etc)]

A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization
Xinyu Hua and Lu Wang.
Proceedings of the EMNLP Workshop on New Frontiers in Summarization, 2017.
[pdf] [bibtex] [project page (data, code, etc)]

Weakly-Guided User Stance Prediction via Joint Modeling of Content and Social Interaction
Rui Dong, Yizhou Sun, Lu Wang, Yupeng Gu, and Yuan Zhong.
Proceedings of International Conference on Information and Knowledge Management (CIKM), 2017.
[pdf] [bibtex]

Neural Network-Based Abstract Generation for Opinions and Arguments
Lu Wang and Wang Ling.
Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2016.
[pdf] [bibtex] [slides] [data]

Summarization and Sentiment Analysis for Understanding Socially-Generated Content
Lu Wang.
Ph.D. Thesis, Cornell University, February 2016.
[pdf] [bibtex]

Socially-Informed Timeline Generation for Complex Events
Lu Wang, Claire Cardie, and Galen Marchetti.
Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2015.
[pdf] [bibtex] [slides] [data]

Query-Focused Opinion Summarization for User-Generated Content
Lu Wang, Hema Raghavan, Claire Cardie, and Vittorio Castelli.
Proceedings of the 25th International Conference on Computational Linguistics (COLING), 2014.
[pdf] [bibtex] [slides]

A Piece of My Mind: A Sentiment Analysis Approach for Online Dispute Detection
Lu Wang and Claire Cardie.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL), short paper, 2014.
[pdf] [bibtex] [slides] [data]

Improving Agreement and Disagreement Identification in Online Discussions with A Socially-Tuned Sentiment Lexicon
Lu Wang and Claire Cardie.
Proceedings of the ACL Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA), 2014.
[pdf] [bibtex] [slides]

Leveraging Semantic Web Search and Browse Sessions for Multi-Turn Spoken Dialog Systems
Lu Wang, Larry Heck, and Dilek Hakkani-Tur.
Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2014.
[pdf] [bibtex] [poster]
One of the Two Award Papers of Spoken Language Processing Student Travel Award [link]

A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization
Lu Wang, Hema Raghavan, Vittorio Castelli, Radu Florian, and Claire Cardie.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL), 2013.
[pdf] [bibtex] [slides]

Domain-Independent Abstract Generation for Focused Meeting Summarization
Lu Wang and Claire Cardie.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL), 2013.
[pdf] [bibtex] [slides]

Unsupervised Topic Modeling Approaches to Decision Summarization in Spoken Meetings
Lu Wang and Claire Cardie.
Proceedings of the Special Interest Group on Discourse and Dialogue (SIGDIAL), 2012.
[pdf] [bibtex] [slides]
Best Paper Nomination

Focused Meeting Summarization via Unsupervised Relation Extraction
Lu Wang and Claire Cardie.
Proceedings of the Special Interest Group on Discourse and Dialogue (SIGDIAL), 2012.
[pdf] [bibtex] [slides]

Summarizing Decisions in Spoken Meetings
Lu Wang and Claire Cardie.
Proceedings of the ACL Workshop on Automatic Summarization for Different Genres, Media, and Languages, 2011.
[pdf] [bibtex] [poster]

Non-Referred Publications

CornPittMich Sentiment Slot-Filling System at TAC 2014
Xilun Chen, Arzoo Katiyar, Xiaoan Yan, Lu Wang, Carmen Banea, Yoonjung Choi, Lingjia Deng, Claire Cardie, Rada Mihalcea, and Janyce Wiebe.
Proceedings of the TAC-KBP 2014 Workshop, 2014.
Won Second Place in Sentiment Slot-Filling Track

Cornell Expert Aided Query-focused Summarization (CEAQS): A Summarization Framework to PoliInformatics
Lu Wang, Parvaz Mahdabi, Joonsuk Park, Dinesh Puranam, Bishan Yang, and Claire Cardie.
NLP Unshared Task in PoliInformatics 2014.
[pdf] [bibtex] [data] [website]



Teaching

CS 6120/4120 - Natural Language Processing. Northeastern University, Spring 2018. [course webpage]
CS 6120/4120 - Natural Language Processing. Northeastern University, Fall 2017. [course webpage]
CS 6140 - Machine Learning. Northeastern University, Spring 2017. [course webpage]
CS 6140 - Machine Learning. Northeastern University, Spring 2016. [course webpage]
CS 7180 - Special Topics in Artificial Intelligence. Northeastern University, Fall 2015. [course webpage]



Grants

Intelligence Advanced Research Projects Activity. "Machine Translation for English Retrieval of Information in Any Language (MATERIAL)", 2017 - 2021, subcontract to USC ISI.
National Science Foundation CRII. "Towards Abstractive Summarization of Meetings", 2016 - 2018, PI.
Northeastern University Tier 1. "Inferring Argument Structure from Online and Live Conversations", 2017 - 2018, PI with Nick Beauchamp and Michelle Borkin.
Gift from Tencent AI Lab. 2017 - 2018.
Gift from Toutiao AI Lab. 2017 - 2018.
Northeastern University Tier 1. "Dynamic Heterogeneous Information Networks for Intelligent Visual Forecasting", 2016 - 2017, PI with Yun Raymond Fu.
NVIDIA GPU Grants. 2016, 2017, PI.



Professional Activities

Area Co-chair: NAACL 2018 (Summarization), ACL 2016 (Summarization)
Senior Program Committee: AAAI 2018
Tutorial Co-chair: EMNLP 2018
Workshop Co-organizer: Workshop on New Frontiers in Summarization at EMNLP 2017.
Member, Program Committee: ACL (2017, 2015, 2014, 2013), NAACL 2015, EMNLP (2017, 2016, 2015, 2014), COLING 2016, AISTATS 2017, AAAI (2017, 2016), IJCAI 2016, ICWSM (2017, 2014), WWW 2014
Reviewer: Journal of Artificial Intelligence Research, Speech Communication, IEEE Transactions on Knowledge and Data Engineering, Transactions on Audio, Speech and Language Processing
Funding Agency Panelist: National Science Foundation (2017 for CISE, 2016 for CISE and SBE)



Data

Datasets for recent publications can be found at project pages (see corresponding URLs) or Northeastern NLP group page.

Movie Review and Online Argument Corpus (First Released, 2016)

- Movie critics and their consensus from Rotten Tomatoes.
- Online arguments from idebate.org.

* DATA (.zip)
* README (.txt)
* This corpus is distributed together with:
   Neural Network-Based Abstract Generation for Opinions and Arguments
   Lu Wang and Wang Ling.
   Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2016.

Socially-Informed Timeline Generation Corpus (First Release, 2015)

- New York Times, CNN, and BBC news articles and user comments on four major events happened in 2014.
- New York Times news articles and user comments in 2013.

* DATA (.zip)
* README (.txt)
* This corpus is distributed together with:
   Socially-Informed Timeline Generation for Complex Events
   Lu Wang, Claire Cardie, and Galen Marchetti.
   Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2015.

Wikipedia Disputed Discussion Corpus (First Release, 2016)

- Dispute and non-dispute discussions from Wikipedia talkpages.

* DATA (.zip)
* README (.txt)
* This corpus is distributed together with:
   A Piece of My Mind: A Sentiment Analysis Approach for Online Dispute Detection
   Lu Wang and Claire Cardie.
   Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL), short paper, 2014.



Research Group

I'm currently working with the following Ph.D. students:

Xinyu Hua (2016 -- )
- ACL outstanding short paper award, 2017
- Argument mining (ACL'17)
- Neural abstractive summarization (EMNLP NewSum'17)
Lisa Fan (2017 -- )
- International Conference on Intelligent Virtual Agents (IVA) best paper nomination, 2017
- Human robotics interaction (IVA'17)