SOTAVerified

Open Information Extraction

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).

Papers

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Showing 51–100 of 207 papers

TitleStatusHype
Enriching Relation Extraction with OpenIE—0
Evaluating the Quality of a Knowledge Base Populated from Text—0
Evaluation of Unsupervised Information Extraction—0
Event-Driven Learning of Systematic Behaviours in Stock Markets—0
Event extraction based on open information extraction and ontology—0
Event Role Extraction using Domain-Relevant Word Representations—0
EVIDENCEMINER: Textual Evidence Discovery for Life Sciences—0
Chain Based RNN for Relation Classification—0
Exploiting Open IE for Deriving Multiple Premises Entailment Corpus—0
Explore Person Specific Evidence in Web Person Name Disambiguation—0
milIE: Modular & Iterative Multilingual Open Information Extraction—0
Automatic Open Knowledge Acquisition via Long Short-Term Memory Networks with Feedback Negative Sampling—0
Bootstrapping for Numerical Open IE—0
Bootstrapping Biomedical Ontologies for Scientific Text using NELL—0
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty—0
Aligning Open IE Relations and KB Relations using a Siamese Network Based on Word Embedding—0
Mastering the Task of Open Information Extraction with Large Language Models and Consistent Reasoning Environment—0
MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models—0
Cross-Register Projection for Headline Part of Speech Tagging—0
Boosting Open Information Extraction with Noun-Based Relations—0
Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain—0
High Recall Open IE for Relation Discovery—0
Corpus-level Fine-grained Entity Typing Using Contextual Information—0
Leveraging Linguistic Structure For Open Domain Information Extraction—0
Getting More Out Of Syntax with PropS—0
Idest: Learning a Distributed Representation for Event Patterns—0
CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction—0
Linking, Searching, and Visualizing Entities in Wikipedia—0
Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction—0
Incremental Knowledge Acquisition Approach for Information Extraction on both Semi-Structured and Unstructured Text from the Open Domain Web—0
Inducing Information Structures for Data-driven Text Analysis—0
Inferring Binary Relation Schemas for Open Information Extraction—0
Generating Lexicalization Patterns for Linked Open Data—0
Dependency-Based Open Information Extraction—0
Freebase QA: Information Extraction or Semantic Parsing?—0
Invited Talk: Embedding Probabilistic Logic for Machine Reading—0
Joint Open Knowledge Base Canonicalization and Linking—0
Knowledge Base Unification via Sense Embeddings and Disambiguation—0
Coreference in Wikipedia: Main Concept Resolution—0
Knowledge-Driven Event Embedding for Stock Prediction—0
Knowledge is Power: Understanding Causality Makes Legal judgment Prediction Models More Generalizable and Robust—0
KrakeN: N-ary Facts in Open Information Extraction—0
Focused Entailment Graphs for Open IE Propositions—0
Large-Scale Information Extraction from Textual Definitions through Deep Syntactic and Semantic Analysis—0
FINET: Context-Aware Fine-Grained Named Entity Typing—0
Learning for Biomedical Information Extraction: Methodological Review of Recent Advances—0
Learning Open Information Extraction of Implicit Relations from Reading Comprehension Datasets—0
Learning to Map Natural Language Statements into Knowledge Base Representations for Knowledge Base Construction—0
CORE: Context-Aware Open Relation Extraction with Factorization Machines—0
A Weighting Scheme for Open Information Extraction—0
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All datasetsCaRBWiRe57OIE2016BenchIELSOIE-wikiLSOIENYTPenn TreebankWebDocOIE-healthcareDocOIE-transportationCaRB OIE benchmark (Greek Use-case)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MacroIEF154.8—Unverified
2OpenIE 6 (CIGL-OIE)F154—Unverified
3IMoJIEF153.5—Unverified
4IMoJIEF153.3—Unverified
5OpenIE 6F152.7—Unverified
6OpenIE6F152.7—Unverified
7Multi2OIEF152.3—Unverified
8GPT-3.5-Turbo w/ Selected Demo & UncertaintyF152.1—Unverified
9OpenIE4F151.6—Unverified
10LLaMA-2-70B w/ Selected Demo & UncertaintyF151.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CIGL-OIE + IGL-CA (OpenIE6)F140—Unverified
2CIGL-OIEF136.8—Unverified
3IMoJIEF136—Unverified
4MinIE Gashteovski et al. (2017)F135.8—Unverified
5OpenIE5F135.4—Unverified
6IGL-OIEF134.9—Unverified
7OpenIE4F134.4—Unverified
8ClausIE Del Corro and Gemulla (2013)F134.2—Unverified
9ClausIEF133.2—Unverified
10SpanOIEF131.9—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepEx (zero-shot)F172.6—Unverified
2DeepStruct multi-task w/ finetuneF171.3—Unverified
3Deepstruct multi-taskF171.2—Unverified
4SpanOIE [48]F169.4—Unverified
5SpanOIEF168.65—Unverified
6LLaMA-2-70B w/ Selected Demo & UncertaintyF165.8—Unverified
7GPT-3.5-Turbo w/ Selected Demo & UncertaintyF165.1—Unverified
8RnnOIE [36]F162—Unverified
9OpenIE4 [26]F160—Unverified
10ClausIE [9]F159—Unverified
#ModelMetricClaimedVerifiedStatus
1ClausIEPrecision0.5—Unverified
2MinIEPrecision0.43—Unverified
3CompactIEPrecision0.41—Unverified
4M2OIE (EN)Precision0.39—Unverified
5ROIE-TPrecision0.37—Unverified
6OpenIE6Precision0.31—Unverified
7M2OIE (ZH)Precision0.26—Unverified
8ROIE-NPrecision0.2—Unverified
9Stanford OIEPrecision0.11—Unverified
10M2OIE (DE)Precision0.09—Unverified
#ModelMetricClaimedVerifiedStatus
1SMiLe-OIEF151.73—Unverified
2BERT + Dep-GCN - Const-GCNF150.21—Unverified
3BERT + Dep-GCN [?] Const-GCNF149.89—Unverified
4BERT + Const-GCNF149.71—Unverified
5IMoJIE Kolluru et al. (2020)F149.24—Unverified
6BERT + Dep-GCNF148.71—Unverified
7BERT Solawetz and Larson (2021)F147.54—Unverified
8CIGL-OIE + IGL-CA Kolluru et al. (2020)F144.75—Unverified
9GloVe + bi-LSTM + CRFF144.48—Unverified
10GloVe + bi-LSTM Stanovsky et al. (2018)F143.9—Unverified
#ModelMetricClaimedVerifiedStatus
1DetIELSOIEF171.4—Unverified
2CIGL-OIEF159.7—Unverified
3DetIELSOIE + IGL-CAF158.7—Unverified
4DetIEIMoJIEF155.7—Unverified
5OpenIE4F154.6—Unverified
6OpenIE6 (CIGL-OIE + IGL-CA)F151.6—Unverified
7OpenIE5F149.5—Unverified
8DetIEIMoJIE (ours) + IGL-CAF145.9—Unverified
9OllIE Mausam et al. (2012)F136.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepEx (zero-shot)F185.5—Unverified
2DeepStruct multi-task w/ finetuneF145—Unverified
3DeepStruct multi-taskF143.6—Unverified
4Deepstruct zero-shotF128.9—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-task w/ finetuneF1451—Unverified
2DeepEx (zero-shot)F188.5—Unverified
3DeepStruct multi-taskF154.5—Unverified
4Deepstruct zero-shotF151—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepEx (zero-shot)F191.2—Unverified
2DeepStruct multi-taskF150.8—Unverified
3DeepStruct multi-task w/ finetuneF149.1—Unverified
4Deepstruct zero-shotF143.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DocIE w transformerF160.8—Unverified
2ReverbF155.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DocIE w transformerF156.9—Unverified
2ReverbF149.7—Unverified
#ModelMetricClaimedVerifiedStatus
1PENELOPIE Greek OIEF10.26—Unverified
#ModelMetricClaimedVerifiedStatus
1GEN2OIE (label-rescore)EN-F154.5—Unverified