Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/1220
Title: Development of an open IE benchmark
Authors: Bisht, Manak
Mutharaju, Vijaya Raghava (Advisor)
Keywords: Natural Language Processing
Sentence Clustering
Sentence Embeddings
Transfer Learning
Open Information Extraction Benchmark
Open Information Extraction
Issue Date: May-2022
Publisher: IIIT-Delhi
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.
URI: http://repository.iiitd.edu.in/xmlui/handle/123456789/1220
Appears in Collections:Year-2022

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