I'm interested in doing research in natural language processing (NLP), where I design machine learning algorithms and computational models (e.g., neural networks, stochastic algorithms, probabilistic models, etc) for tasks on abstractive text summarization, language generation, argumentation mining, discourse analysis, and dialog analysis. I'm also interested in applying NLP and machine learning techniques for interdisciplinary subjects, e.g. computational social science. Specifically, there are four major ongoing research projects:
Abstractive Text Summarization: We tackle the challenge of extracting key information from large amounts of textual data. We aim to generate concise and informative summaries for different types of texts, ranging from news articles in traditional media, to socially-generated content in popular social media (e.g. comments, tweets, or blogs), and to government meetings (e.g. Federal Reserve board meetings). Neural network-based methods are developed, with traditional training methods, multi-task learning, or reinforcement learning-based methods.
Argumentation Mining: Arguments play an important role for decision-making processes and persuasion. We are interested in understanding how people argue with and influence others, as well as form their own opinions on topics of interest. Especially, we want to discover linguistic patterns that reflect these processes, and use them for social interaction analysis and prediction. NLP models for discourse and semantic analysis are investigated for this project.
Argument Generation: In this project we aim to automate the process of generating persuasive arguments for different targeting audience or based on user's information request. This would need a better understanding of many aspects of high quality arguments, including discourse, semantic, and linguistic style. There is a wide range of applications, from improving essay writing and online argumentation skills, to enhancing public deliberation and political debate quality.
Information Extraction: We work on semantic understanding of text from different domains, including both news articles and user comments. Concretely, our goal is to advance the state-of-the-art methods on mention detection, entity extraction, and entity linking tasks.
If any of these sounds interesting to you, please check out more about my research and papers at my website www.ccs.neu.edu/home/luwang. My students and I are also part of Northeastern NLP group. If you find your research agenda might be aligned with mine and are interested in working with me, please (1) contact me via email at firstname.lastname@example.org (please include your recent CV and specify what research topics you are excited about), and (2) apply to College of Computer and Information Science (CCIS) at Northeastern University and mention my name in your application.