We currently have one mentoring session per month. In the future, we might also adapt a variety of formats, both big-group talks and small-group mentoring sessions. Feel free to subscribe to the following calendar and keep up with new events.
Prof. Rada Mihalcea Professor, University of Michigan
Rada is professor at University of Michigan. Her research interests are in Natural Language Processing, Multimodal Processing, Computational Social Sciences.
Saif M. Mohammad Senior Research Scientist, National Research Council Canada
Dr. Saif M. Mohammad is a Senior Research Scientist at the National Research Council Canada (NRC). He received his Ph.D. in Computer Science from the University of Toronto. Before joining NRC, Saif was a Research Associate at the Institute of Advanced Computer Studies at the University of Maryland, College Park. His research interests are in Computational Linguistics and Natural Language Processing (NLP), especially Lexical Semantics, Emotions in Language, Sentiment Analysis, Computational Creativity, Fairness in NLP, Psycholinguistics, and Information Visualization. He has published over 100 scientific articles (journal articles, book chapters, and conference papers). He has served in various capacities at prominent journals and conferences, including: action editor for Computational Linguistics, senior action editor for ACL Rolling review, chair of the Canada--UK symposium on Ethics in AI, co-chair of SemEval 2017-19 (the largest platform for semantic evaluations), workshops co-chair for ACL 2020, co-organizer of WASSA 2017 and 2018 (a sentiment analysis workshop), and area chair for ACL, NAACL, and EMNLP (in the areas of sentiment analysis, lexical semantics, and fairness in NLP).
Soujanya Poria Assistant Professor, Singapore University of Technology and Design
Soujanya hold a Ph.D. in Computer Science. His main areas of research interest are NLP and sentiment analysis. At present, He work as an assistant professor at the Singapore University of Technology and Design (SUTD), Singapore. He is also part of the Institute of High-Performance Computing (IHPC), ASTAR as a senior scientist. Before joining SUTD, He worked at NTU where he was awarded the prestigious NTU presidential postdoctoral fellowship.
Building Collaborations and Networking
Language: enComplexity: Intermediate
Insights from the 2nd ACL Year-Round Mentorship Session
Prof. Mohit Bansal Associate Professor, UNC Chapel Hill
Dr. Mohit Bansal is the John R. & Louise S. Parker Associate Professor and the Director of the MURGe-Lab (in the UNC-NLP Group) in the Computer Science department at the University of North Carolina (UNC) Chapel Hill. Prior to this, he was a research assistant professor (3-year endowed position) at TTI-Chicago. He received his Ph.D. in 2013 from the University of California at Berkeley (where he was advised by Dan Klein) and his B.Tech. from the Indian Institute of Technology at Kanpur in 2008. His research expertise is in natural language processing and multimodal machine learning, with a particular focus on grounded and embodied semantics, human-like language generation and Q&A/dialogue, and interpretable and generalizable deep learning.
Barbara Plank Professor, IT University of Copenhagen
Jian Su Department Head, NLP@A*STAR I2R, Singapore
Getting the most out of an NLP Conference
Language: enComplexity: Intermediate
Insights from the 3rd ACL Year-Round Mentorship Session
Malihe Alikhani Associate Professor, University of Pittsburgh
She is Assistant Professor of Computer Science in the School of Computing and Information at the University of Pittsburgh. Her primary research interests are in the fields of Natural Language Processing and Cognitive Science with broader interests in Computational Social Sciences.
Kalika Bali Researcher, Microsoft
Vinodkumar Prabhakaran Senior Research Scientist, Google
Applying for a PhD in NLP
Language: enComplexity: Beginner
Insights from the ACL Year-Round Mentorship Session
Min-Yen Kan Associate Professor, National University of Singapore Singapore
Min-Yen is an associate professor with research interests that span digital libraries, natural language processing and information retrieval. Specific interests include: scholarly digital libraries, definitional QA, statistical MT, text summarization, verb analysis, optimizing access to scientific literature, web crawling, and combining search and browsing user interfaces under human-computer interaction. He is a senior member of the ACM and the IEEE, and a member of the ACL, NUS' NGS, and PREMIA. He is graduated with my Ph.D. from Columbia University.
Sebastian Ruder Research scientist, Google
Sebastian is a research scientist at Google based in London, UK. Before that he was a research scientist at DeepMind. He completed my PhD in Natural Language Processing and Deep Learning at the Insight Research Centre for Data Analytics, while working as a research scientist at Dublin-based text analytics startup AYLIEN.