no code implementations • NAACL (sdp) 2021 • Suchetha N. Kunnath, David Pride, Drahomira Herrmannova, Petr Knoth
The task is composed of two subtasks: classifying citations based on their (Subtask A) purpose and (Subtask B) influence.
no code implementations • NAACL (sdp) 2021 • Iz Beltagy, Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Keith Hall, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr, Robert Patton, Michal Shmueli-Scheuer, Anita de Waard, Kuansan Wang, Lucy Wang
With the ever-increasing pace of research and high volume of scholarly communication, scholars face a daunting task.
no code implementations • sdp (COLING) 2022 • Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard, Lucy Lu Wang
With the ever-increasing pace of research and high volume of scholarly communication, scholars face a daunting task.
no code implementations • sdp (COLING) 2022 • Yury Kashnitsky, Drahomira Herrmannova, Anita de Waard, George Tsatsaronis, Catriona Catriona Fennell, Cyril Labbe
As a test set, the participants are provided with a 5x larger corpus of openly accessible human-written as well as generated papers from the same scientific domains of documents.
1 code implementation • sdp (COLING) 2022 • Óscar E. Mendoza, Wojciech Kusa, Alaa El-Ebshihy, Ronin Wu, David Pride, Petr Knoth, Drahomira Herrmannova, Florina Piroi, Gabriella Pasi, Allan Hanbury
We present a new gold-standard dataset and a benchmark for the Research Theme Identification task, a sub-task of the Scholarly Knowledge Graph Generation shared task, at the 3rd Workshop on Scholarly Document Processing.
no code implementations • WS 2018 • Drahomira Herrmannova, Steven R. Young, Robert M. Patton, Christopher G. Stahl, Nicole C. Kleinstreuer, Mary S. Wolfe
Identifying and extracting data elements such as study descriptors in publication full texts is a critical yet manual and labor-intensive step required in a number of tasks.