<  Back to the Polytechnique Montréal portal

A machine learning filter for the slot filling task

Kevin Lange Di Cesare, Amal Zouaq, Michel Gagnon and Ludovic Jean-Louis

Article (2018)

Open Acess document in PolyPublie and at official publisher
Open Access to the full text of this document
Published Version
Terms of Use: Creative Commons Attribution
Download (542kB)
Show abstract
Hide abstract


Slot Filling, a subtask of Relation Extraction, represents a key aspect for building structured knowledge bases usable for semantic-based information retrieval. In this work, we present a machine learning filter whose aim is to enhance the precision of relation extractors while minimizing the impact on the recall. Our approach consists in the filtering of relation extractors' output using a binary classifier. This classifier is based on a wide array of features including syntactic, semantic and statistical features such as the most frequent part-of-speech patterns or the syntactic dependencies between entities. We experimented the classifier on the 18 participating systems in the TAC KBP 2013 English Slot Filling track. The TAC KBP English Slot Filling track is an evaluation campaign that targets the extraction of 41 pre-identified relations (e.g., title, date of birth, countries of residence, etc.) related to specific named entities (persons and organizations). Our results show that the classifier is able to improve the global precision of the best 2013 system by 20.5% and improve the F1-score for 20 relations out of 33 considered.

Uncontrolled Keywords

information retrieval; information extraction; relation extraction; slot filling; knowledge base population; most frequent patterns; precision; data mining

Subjects: 2700 Information technology > 2700 Information technology
2800 Artificial intelligence > 2800 Artificial intelligence (Computer vision, see 2603)
2800 Artificial intelligence > 2803 Knowledge representation
Department: Department of Computer Engineering and Software Engineering
Funders: FRQNT
PolyPublie URL: https://publications.polymtl.ca/3565/
Journal Title: Information (vol. 9, no. 6)
Publisher: MDPI
DOI: 10.3390/info9060133
Official URL: https://doi.org/10.3390/info9060133
Date Deposited: 09 Mar 2020 11:21
Last Modified: 08 Apr 2024 20:26
Cite in APA 7: Lange Di Cesare, K., Zouaq, A., Gagnon, M., & Jean-Louis, L. (2018). A machine learning filter for the slot filling task. Information, 9(6). https://doi.org/10.3390/info9060133


Total downloads

Downloads per month in the last year

Origin of downloads


Repository Staff Only

View Item View Item