Search Results for author: David Pride

Found 5 papers, 3 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.

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

ACT2: A multi-disciplinary semi-structured dataset for importance and purpose classification of citations

1 code implementation LREC 2022 Suchetha Nambanoor Kunnath, Valentin Stauber, Ronin Wu, David Pride, Viktor Botev, Petr Knoth

This modified corpus has annotations for both citation function and importance classes newly enriched with supplementary contextual and non-contextual feature sets the selection of which follows from the lists of features used by the more successful teams in these shared tasks.

CORE-GPT: Combining Open Access research and large language models for credible, trustworthy question answering

1 code implementation6 Jul 2023 David Pride, Matteo Cancellieri, Petr Knoth

CORE-GPT's performance was evaluated on a dataset of 100 questions covering the top 20 scientific domains in CORE, resulting in 100 answers and links to 500 relevant articles.

Question Answering

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