From Dataset Recycling to Multi-Property Extraction and Beyond

Tomasz Dwojak, Michał Pietruszka, Łukasz Borchmann, Jakub Chłędowski, Filip Graliński


Abstract
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.
Anthology ID:
2020.conll-1.52
Volume:
Proceedings of the 24th Conference on Computational Natural Language Learning
Month:
November
Year:
2020
Address:
Online
Venue:
CoNLL
SIG:
SIGNLL
Publisher:
Association for Computational Linguistics
Note:
Pages:
641–651
Language:
URL:
https://aclanthology.org/2020.conll-1.52
DOI:
10.18653/v1/2020.conll-1.52
Bibkey:
Copy Citation:
PDF:
https://aclanthology.org/2020.conll-1.52.pdf
Code
 applicaai/multi-property-extraction
Data
WikiReading RecycledGLUESNLISQuADWikiReading