Papers with Code · CC BY-SA 4.0

Open Information Extraction

125 평가 기록 28 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).

논문

A Survey on Neural Open Information Extraction: Current Status and Future Directions

2205.11725 2022-05-24 이 페이지의 평가 8건

F1: 54.8

OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction

2010.03147 2020-10-07 이 페이지의 평가 7건

F1: 54

DocOIE: A Document-level Context-Aware Dataset for OpenIE

2105.04271 2021-05-10 이 페이지의 평가 4건

F1: 60.8

DeepStruct: Pretraining of Language Models for Structure Prediction

2205.10475 2022-05-21 이 페이지의 평가 3건

F1: 43.8

Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty

2309.03433 2023-09-07 이 페이지의 평가 2건

F1: 52.1

Alignment-Augmented Consistent Translation for Multilingual Open Information Extraction

이 페이지의 평가 1건

EN-F1: 54.5EN-AUC: 38.9

Demonyms and Compound Relational Nouns in Nominal Open IE

2016-06-01 이 페이지의 평가 1건

F1: 48.8

Multi$^2$OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERT

2009.08128 2020-09-17 이 페이지의 평가 1건

F1: 52.3

Open Information Extraction from Conjunctive Sentences

2018-08-01 이 페이지의 평가 1건

F1: 46.7

PENELOPIE: Enabling Open Information Extraction for the Greek Language through Machine Translation

2103.15075 2021-03-28 이 페이지의 평가 1건

F1: 0.255

Zero-Shot Information Extraction as a Unified Text-to-Triple Translation

2109.11171 2021-09-23 이 페이지의 평가 1건

F1: 91.2AUC: 82.4