Papers by Viktor Botev

1 papers
ACT2: A multi-disciplinary semi-structured dataset for importance and purpose classification of citations (2022.lrec-1)

Copied to clipboard

Challenge: Existing methods for classifying citations rely on bibliometric measures to consider the semantics of citation.
Approach: They propose to use a Citation Context Classification (3C) shared task dataset to classify citations according to their purpose and importance.
Outcome: The proposed model can be used to link research works to graphs and enable efficient knowledge discovery.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations