InterNLP 2021

Organizing Committee (in alphabetical order)

Kianté Brantley (kdbrant@cs.umd.edu) is a fourth year PhD student in Computer Science at The University of Maryland College Park advised by Hal Daumé III. His research interest is in designing algorithms that efficiently integrate domain knowledge into sequential decision-making problems (e.g. reinforcement learning, imitation learning and structure prediction for natural language processing).

Soham Dan (sohamdan@seas.upenn.edu) is a PhD student at the University of Pennsylvania working with Dan Roth on natural language understanding- specifically, in the context of grounded domains. His research involves concept learning, interactive learning and semantic parsing of instructions.

Iryna Gurevych (gurevych@ukp.informatik.tu-darmstadt.de) is a full professor in the department of Computer Science at the Technical University of Darmstadt. She has published on interactive methods for NLP in various NLP domains such as language learning, text summarization, or entity linking.

Ji-Ung Lee (lee@ukp.informatik.tu-darmstadt.de) is a PhD student at the Technical University of Darmstadt. His research focuses on effective model training from user feedback in low-data scenarios coupled with providing the user with instances that fit their needs.

Filip Radlinski (filiprad@google.com) is a Research Scientist at Google, UK. His research focuses on improvements to conversational search and recommendation through better understanding and modeling user interests through natural language, improved transparency of conversational systems, as well as human-centered evaluation and personalization of information retrieval and recommendation tasks. He received his PhD from Cornell University.

Hinrich Schütze (hinrichacl@cis.lmu.de) is a full professor at Ludwig Maximilian University, Munich and chair of computational linguistics. His research covers deep learning for NLP, semantics in NLP and linguistics, and information retrieval. He has co-organized several workshops, including two SCLeM workshops (Subword and Character level models in NLP) at EMNLP and NAACL and a Dagstuhl seminar entitled "From Characters to Understanding Natural Language".

Edwin Simpson (edwin.simpson@bristol.ac.uk) is a lecturer at the University of Bristol working on interactive learning for NLP and machine learning for crowdsourced annotation with an interest in Bayesian methods for handling uncertainty.

Lili Yu (liliyu@fb.com) is a research scientist in the Facebook Language Research team. Her research interest lies in summarization, conversational AI, learning from user feedback and knowledge representation and grounding.