Papers by Liubov Kovriguina

2 papers
RoMe: A Robust Metric for Evaluating Natural Language Generation (2022.acl-long)

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Challenge: Empirical results suggest that RoMe has a stronger correlation to human judgment over state-of-the-art metrics in evaluating system-generated sentences across several NLG tasks.
Approach: They propose an automatic evaluation metric incorporating several core aspects of natural language understanding (language competence, syntactic and semantic variation).
Outcome: The proposed evaluation metric is trained on language features such as semantic similarity combined with tree edit distance and grammatical acceptability, using a self-supervised neural network.
Knowledge Graph Question Answering Leaderboard: A Community Resource to Prevent a Replication Crisis (2022.lrec-1)

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Challenge: Knowledge Graph (KG) Question Answering (QA) is a rapidly growing field in research and industry.
Approach: They propose to create a new leaderboard for any KGQA benchmark dataset as a focal point for the community.
Outcome: The proposed model provides a central and open leaderboard for any KGQA benchmark dataset as a focal point for the community.

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