Georgiana Dinu, Amazon
Georgiana's research expertise is in distributional and compositional semantics, cross-lingual and cross-modal representations. Her recent research includes neural network architectures for information extraction. Georgiana served as area chair for EMNLP 2016 and will be a semantics chair for COLING 2018.
Miguel Ballesteros, IBM Research AI, miguel.ballesteros@ibm.com
Miguel's main area of expertise has been syntactic parsing but he has also authored works in many other tasks, such as named-entity recognition, semantic parsing, natural language generation and language modeling. This includes papers about character-based modeling of words and on explicitly reflecting linguistic structure into neural architectures. Miguel was area chair for Tagging, Chunking, Syntax and Parsing at ACL 2016 and in the same role for COLING 2018.
Anders Sögaard, Department of Computer Science, University of Copenhagen
Anders Sögaard is Full Professor in NLP and Machine Learning at the Dept. of Computer Science, University of Copenhagen. His research interests include transfer and multi-task learning. He has been area chair for ACL 3 times, NAACL once, SIGPARSE information officer, and local chair for EMNLP.
Avirup Sil, IBM Research AI, avi@us.ibm.com
Avi is a Research Staff Member and the chair of the NLP community at IBM Research AI. His research interests are in multi-lingual information extraction from large text collection . Most of his papers are on cross-lingual named-entity recognition, entity linking and slot filling and his systems have obtained top scores in TAC KBP evaluations. Avi is an Area Chair for Information Extraction at NAACL 2018 and COLING 2018. He is also the EDL Track Co-ordinator for TAC KBP 2018 along with Heng Ji.
Tahira Naseem, IBM Research AI, tnaseem@us.ibm.com
Tahira’s research interests are mainly in the areas of syntactic parsing and multilingual learning. Her work aims on enabling Natural Language Processing (NLP) for low-resource languages by augmenting probabilistic models with linguistic information.
Yoav Goldberg, Bar Ilan University, yoav.goldberg@gmail.com
Yoav Goldberg is Senior Lecturer at Bar Ilan University's Computer Science Department. He works on problems related to Natural Language Processing and Machine Learning, in particular syntactic parsing, structured-prediction models, learning for greedy decoding algorithms, multilingual language understanding, cross domain learning, and neural network based methods for NLP.
Wael Hamza, IBM Research AI, whamza@us.ibm.com
Wael Hamza is Research Staff Member and the manager of the Multi-lingual Question Answering group. His research interest includes information extraction, sequence to sequence modeling, text classification, question answering, and machine comprehension.
Samuel R. Bowman, New York University, bowman@nyu.edu
Sam Bowman is a second-year Assistant Professor of Linguistics and Data Science at NYU. His research interests include representation learning for sentence-level NLP problems, and the role of syntactic structure in neural network approaches to NLP. He was one of the primary organizers of the RepEval 2017 workshop at EMNLP, and will be a faculty co-organizer for the NAACL 2018 Student Research Workshop.