UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification
release_dbh6ldlqobedtfjw3hcg4i6n54
by
Andreas Hanselowski, Hao Zhang, Zile Li, Daniil Sorokin, Benjamin
Schiller, Claudia Schulz, Iryna Gurevych
2019
Abstract
The Fact Extraction and VERification (FEVER) shared task was launched to
support the development of systems able to verify claims by extracting
supporting or refuting facts from raw text. The shared task organizers provide
a large-scale dataset for the consecutive steps involved in claim verification,
in particular, document retrieval, fact extraction, and claim classification.
In this paper, we present our claim verification pipeline approach, which,
according to the preliminary results, scored third in the shared task, out of
23 competing systems. For the document retrieval, we implemented a new entity
linking approach. In order to be able to rank candidate facts and classify a
claim on the basis of several selected facts, we introduce two extensions to
the Enhanced LSTM (ESIM).
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