natural-language-processing-16

Open Information Extraction

3260 papers • 126 benchmarks • 313 datasets

In natural language processing, open information extraction is the task of generating a structured, machine-readable representation of the information in text, usually in the form of triples or n-ary propositions (Source: Wikipedia).

(Image credit: Papersgraph)

Benchmarks

These leaderboards are used to track progress in open-information-extraction-16

Trend

Dataset

Best Model

Actions

CaRB

WiRe57

OIE2016

Libraries

i

Use these libraries to find open-information-extraction-16 models and implementations

Datasets

No datasets available.

Subtasks

Event Extraction

Most implemented papers

Content

BenchIE

LSOIE-wiki

LSOIE

Web

NYT

Penn Treebank

DocOIE-healthcare

DocOIE-transportation

CaRB OIE benchmark (Greek Use-case)

OpenIE

Adding a benchmark result helps the community track progress.