Open Information Extraction
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Benchmarks
CaRB
WiRe57
OIE2016
BenchIE
LSOIE-wiki
LSOIE
NYT
Penn Treebank
Web
DocOIE-healthcare
DocOIE-transportation
OpenIE
Most implemented
OPIEC: An Open Information Extraction Corpus
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
Multi-View Clustering for Open Knowledge Base Canonicalization
Creating a Large Benchmark for Open Information Extraction
Demonyms and Compound Relational Nouns in Nominal Open IE
Papers
Enoki: Efficient Multi-Level Hallucination Detection
Ensuring factuality remains a critical challenge for deploying LLMs in high-stakes settings. Existing hallucination detectors usually operate at a single level: claim-level methods provide interpretable factual units, wh…
Open Information ExtractionScalable Construction of a Lung Cancer Knowledge Base: Profiling Semantic Reasoning in LLMs
The integration of Large Language Models (LLMs) into biomedical research offers new opportunities for domainspecific reasoning and knowledge representation. However, their performance depends heavily on the semantic qual…
Open Information ExtractionChatPD: An LLM-driven Paper-Dataset Networking System
Scientific research heavily depends on suitable datasets for method validation, but existing academic platforms with dataset management like PapersWithCode suffer from inefficiencies in their manual workflow. To overcome…
Entity ResolutionOpen Information ExtractionLong-context Non-factoid Question Answering in Indic Languages
Question Answering (QA) tasks, which involve extracting answers from a given context, are relatively straightforward for modern Large Language Models (LLMs) when the context is short. However, long contexts pose challeng…
coreference-resolutionCoreference ResolutionOpen Information ExtractionQuestion AnsweringFew-shot Continual Relation Extraction via Open Information Extraction
Typically, Few-shot Continual Relation Extraction (FCRE) models must balance retaining prior knowledge while adapting to new tasks with extremely limited data. However, real-world scenarios may also involve unseen or und…
Continual LearningContinual Relation Extractiongraph constructionOpen Information Extraction+2Testing Prompt Engineering Methods for Knowledge Extraction from Text
The capabilities of Large Language Models (LLMs,) such as Mistral 7B, Llama 3, GPT-4, present a significant opportunity for knowledge extraction (KE) from text. However, LLMs’ context-sensitivity can hinder obtaining pre…
Open Information ExtractionPrompt EngineeringRelation ExtractionRetrieval