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Impact of Entity Graphs on Extracting Semantic Relations
Abstract : Relation extraction (RE) between a pair of entity mentions from text is an important and challenging task specially for open domain relations. Generally, relations are extracted based on the lexical and syntactical information at the sentence level. However, global information about known entities has not been explored yet for RE task. In this paper, we propose to extract a graph of entities from the overall corpus and to compute features on this graph that are able to capture some evidences of holding relationships between a pair of entities. The proposed features boost the RE performance significantly when these are combined with some linguistic features.
Cited literature [27 references]
https://hal.archives-ouvertes.fr/hal-01802577
Contributor : Rashedur Rahman Connect in order to contact the contributor
Submitted on : Tuesday, September 10, 2019 - 3:08:47 PM
Last modification on : Tuesday, March 15, 2022 - 3:21:42 AM
Long-term archiving on: : Friday, February 7, 2020 - 5:16:01 PM
Contributor : Rashedur Rahman Connect in order to contact the contributor
Submitted on : Tuesday, September 10, 2019 - 3:08:47 PM
Last modification on : Tuesday, March 15, 2022 - 3:21:42 AM
Long-term archiving on: : Friday, February 7, 2020 - 5:16:01 PM
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springersimbig2017.pdf
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