Search Results for author: Drahomira Herrmannova

Found 8 papers, 1 papers with code

Overview of the 2021 SDP 3C Citation Context Classification Shared Task

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.

Overview of the DAGPap22 Shared Task on Detecting Automatically Generated Scientific Papers

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.

Binary Classification

Benchmark for Research Theme Classification of Scholarly 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.

Classification Graph Generation

Unsupervised Identification of Study Descriptors in Toxicology Research: An Experimental Study

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.

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