Organizing Committee
Arman Cohan
Allen Institute for Artificial Intelligence (AI2)
Arman Cohan is a Research Scientist on the Semantic Scholar team at AI2, focusing on representation learning and transfer learning methods, with special focus on NLP applications in the scientific and biomedical domains. He received his PhD from Georgetown University. His research has been recognized with a best paper award at EMNLP 2017, an honorable mention at COLING 2018, and Harold N. Glassman Distinguished Doctoral Dissertation award in 2019. He was a co-organizer of the 1st SciNLP workshop.
Guy Feigenblat
IBM Research AI, Haifa Research Lab, Israel
Guy Feigenblat is a team leader at the Language and Retrieval group in IBM Research AI, working on AI, NLP and Information Retrieval (IR). In recent years he mainly focuses on document summarization research for various scenarios and domains. Guy is involved in the development of IBM Science Summarizer, a novel search engine for scientific literature. Guy holds a Ph.D. in computer science from Bar-Ilan University.
Dayne Freitag
SRI International, San Diego, USA
Dayne Freitag is Program Director in SRI's Artificial Intelligence Center, head of the Advanced Analytics group. He leads and participates in research into information extraction and retrieval, with a longstanding emphasis on the scientific and technical literature. He holds a PhD in Computer Science from Carnegie Mellon University.
Tirthankar Ghosal
Institute of Formal and Applied Linguistics, Charles University, Czech Republic
Tirthankar Ghosal is a researcher at UFAL, Charles University Prague. His main research interests are NLP/ML for Scientific Discourse Processing and Peer Reviews, Text/Dialogue Summarization, Argumentation Mining. He is currently the co-editor of SIGIR Forum. Beside SDP, Tirthankar is associated in organizing AutoMin @ Interspeech 2021, SummDial @ SIGDial 2021, WiNLP 2021, etc.
Drahomira Herrmannova
Elsevier, USA
Drahomira Herrmannova is a Senior Data Scientist at Elsevier, working on information extraction for biomedical and scientific domains. Her recent work includes developing models for literature screening and information extraction from scientific publications in low-resource settings, and data extraction from tables in scientific documents. Since 2014, Drahomira was an organizer of the WOSP workshop series at JCDL/LREC.
Petr Knoth
Open University, UK
Petr Knoth leads a R&D team working in the domains of text-mining, digital libraries and open access/science, and is the founder, product and team leader for CORE. Petr is is the founder and main organizer of the WOSP workshop series, and of the 3C Citation Context Classification shared task.
Kyle Lo
Allen Institute for Artificial Intelligence (AI2)
Kyle Lo is a researcher on the Semantic Scholar team working on fact checking, summarization, and explanations to reduce information overload. His recent work on domain adaptation was awarded runner-up for best paper at ACL 2020. Kyle was an organizer of the 1st SciNLP workshop at AKBC 2020, the TREC-COVID shared task at TREC 2020, and the EPIC-QA challenge at TAC 2020.
Philipp Mayr
GESIS – Leibniz Institute for the Social Sciences, Germany
Philipp Mayr is a team leader at the GESIS -- Leibniz-Institute for the Social Sciences department Knowledge Technologies for the Social Sciences. Philipp Mayr received his PhD in applied informetrics and information retrieval from Humboldt University Berlin in 2009. His research group focuses on methods and techniques for interactive information and data retrieval. Philipp was the main organizer of the BIR workshops at ECIR 2014-2020 and the BIRNDL workshops at JCDL and SIGIR.
Robert M. Patton
Oak Ridge National Laboratory, USA
Dr. Robert M. Patton is a computational analytics scientist at Oak Ridge National Laboratory. His research is focused on nature-inspired computational techniques for large‐scale data analytics. He is a member of IEEE’s CI Society and ACM’s SIGEVO.
Michal Shmueli-Scheuer
IBM Research AI, Haifa Research Lab, Israel
Michal is a senior researcher in the Language and Retrieval research group in IBM Research AI. Her area of expertise is in the fields of NLP including conversational bots, summarization, and affective computing. She was an organizer of the 1st and 2nd user2agent workshops at IUI 2019 and 2020. Michal received her PhD from the University of California, Irvine.
Anita de Waard
Elsevier, USA
Anita is VP of Research Collaborations, where her work focuses on working with academic and industry partners on projects pertaining to progressing modes and frameworks for scholarly communication. She works on bridging the gap between science publishing and computational and information technologies. De Waard has worked on discourse analysis of scientific narratives, with an emphasis on finding key epistemic components in biological text, and helped establish the TAC BiomedSumm task in 2014.
Lucy Lu Wang
Allen Institute for Artificial Intelligence (AI2)
Lucy Lu Wang is a postdoctoral investigator at the Allen Institute for AI in the Semantic Scholar research team, working on improving access to scholarly literature and biomedical applications of NLP. She was an organizer of the 1st SciNLP workshop at AKBC 2020, the TREC-COVID shared task at TREC 2020, and the EPIC-QA challenge at TAC 2020. She holds a PhD in Biomedical Informatics and Medical Education from the University of Washington.
