Development of an open IE benchmark

dc.contributor.author	Bisht, Manak
dc.contributor.author	Mutharaju, Vijaya Raghava (Advisor)
dc.date.accessioned	2023-04-19T13:04:00Z
dc.date.available	2023-04-19T13:04:00Z
dc.date.issued	2022-05
dc.identifier.uri	http://repository.iiitd.edu.in/xmlui/handle/123456789/1220
dc.description.abstract	Open Information Extraction (Open IE) is the task of extracting triples (subject, predicate, object) from plain text. Tools that perform these extractions are called Open IE extractors. While benchmarks to evaluate the performance of these tools exist, they provide aggregate metrics and do not have room for fine-grained analysis. This benchmark addresses this problem by assigning category labels to test sentences so that it is apparent on what type of sentence the extractor is failing.	en_US
dc.language.iso	en_US	en_US
dc.publisher	IIIT-Delhi	en_US
dc.subject	Natural Language Processing	en_US
dc.subject	Sentence Clustering	en_US
dc.subject	Sentence Embeddings	en_US
dc.subject	Transfer Learning	en_US
dc.subject	Open Information Extraction Benchmark	en_US
dc.subject	Open Information Extraction	en_US
dc.title	Development of an open IE benchmark	en_US