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From Dataset Recycling to Multi-Property Extraction and Beyond

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arxiv 2011.03228 v1 pith:7R2XSXI6 submitted 2020-11-06 cs.CL cs.IR

Tomasz Dwojak , Micha{l} Pietruszka , {L}ukasz Borchmann , Jakub Ch{l}ędowski , Filip Graliński This is my paper · ORCID
classification cs.CLcs.IR
keywords datasetextractionwikireadingmodeladditionanalysisarchitecturesbeyond
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This paper investigates various Transformer architectures on the WikiReading Information Extraction and Machine Reading Comprehension dataset. The proposed dual-source model outperforms the current state-of-the-art by a large margin. Next, we introduce WikiReading Recycled-a newly developed public dataset and the task of multiple property extraction. It uses the same data as WikiReading but does not inherit its predecessor's identified disadvantages. In addition, we provide a human-annotated test set with diagnostic subsets for a detailed analysis of model performance.

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