SOTAVerified

Relation Extraction

Relation Extraction is the task of predicting attributes and relations for entities in a sentence. For example, given a sentence “Barack Obama was born in Honolulu, Hawaii.”, a relation classifier aims at predicting the relation of “bornInCity”. Relation Extraction is the key component for building relation knowledge graphs, and it is of crucial significance to natural language processing applications such as structured search, sentiment analysis, question answering, and summarization.

Source: Deep Residual Learning for Weakly-Supervised Relation Extraction

Papers

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Showing 1051–1100 of 1977 papers

TitleStatusHype
Relation Extraction from Tables using Artificially Generated Metadata—0
Relation Extraction from Tables using Artificially Generated Metadata—0
Relation Extraction Model Based on Semantic Enhancement Mechanism—0
Relation extraction pattern ranking using word similarity—0
Relation Extraction: Perspective from Convolutional Neural Networks—0
Relation Extraction using Explicit Context Conditioning—0
Relation Extraction Using Large Language Models: A Case Study on Acupuncture Point Locations—0
Relation Extraction Using Multiple Pre-Training Models in Biomedical Domain—0
Relation Extraction with Explanation—0
Relation Extraction with Fine-Tuned Large Language Models in Retrieval Augmented Generation Frameworks—0
Relation Extraction with Matrix Factorization and Universal Schemas—0
Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks—0
Relation Extraction with Self-determined Graph Convolutional Network—0
Relation Extraction with Word Graphs from N-grams—0
RelationFactory: A Fast, Modular and Effective System for Knowledge Base Population—0
Comparison of biomedical relationship extraction methods and models for knowledge graph creation—0
RelExt: Relation Extraction using Deep Learning approaches for Cybersecurity Knowledge Graph Improvement—0
Representation Learning for Weakly Supervised Relation Extraction—0
Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks—0
SPOT: Knowledge-Enhanced Language Representations for Information Extraction—0
Reproducing Neural Ensemble Classifier for Semantic Relation Extraction inScientific Papers—0
Research on Entity Relation Extraction for Military Field—0
Resolving Entity Coreference in Croatian with a Constrained Mention-Pair Model—0
Rethinking Document-Level Relation Extraction: A Reality Check—0
Rethinking Relation Extraction: Beyond Shortcuts to Generalization with a Debiased Benchmark—0
Retrieval of Scientific and Technological Resources for Experts and Scholars—0
Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution—0
Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction—0
Revised JNLPBA Corpus: A Revised Version of Biomedical NER Corpus for Relation Extraction Task—0
Revisiting Distant Supervision for Relation Extraction—0
Rethinking Relation Classification with Graph Meaning Representations—0
Revisiting Large Language Models as Zero-shot Relation Extractors—0
Revisiting Relation Extraction in the era of Large Language Models—0
ReVoLT: Relational Reasoning and Voronoi Local Graph Planning for Target-driven Navigation—0
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction—0
Robust Domain Adaptation for Relation Extraction via Clustering Consistency—0
Robust Logistic Regression using Shift Parameters—0
Robustly Pre-trained Neural Model for Direct Temporal Relation Extraction—0
RSGT: Relational Structure Guided Temporal Relation Extraction—0
RTE: A Tool for Annotating Relation Triplets from Text—0
RTFN: A Robust Temporal Feature Network for Time Series Classification—0
RuREBus: a Case Study of Joint Named Entity Recognition and Relation Extraction from e-Government Domain—0
SAFFRON: tranSfer leArning For Food-disease RelatiOn extractioN—0
SANTO: A Web-based Annotation Tool for Ontology-driven Slot Filling—0
Sar-graphs: A Linked Linguistic Knowledge Resource Connecting Facts with Language—0
SCAI: Extracting drug-drug interactions using a rich feature vector—0
Scaling Semantic Parsers with On-the-Fly Ontology Matching—0
SCHN\"APPER: A Web Toolkit for Exploratory Relation Extraction—0
Scientific Relation Extraction with Selectively Incorporated Concept Embeddings—0
SciREL at SemEval-2018 Task 7: A System for Semantic Relation Extraction and Classification—0
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All datasetsDocREDTACREDSemEval-2010 Task-8ACE 2005CoNLL04Adverse Drug Events (ADE) CorpusWebNLGChemProtACE 2004NYT11-HRLCDRGDA

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DREEAMF167.53—Unverified
2KD-Rb-lF167.28—Unverified
3SSAN-RoBERTa-large+AdaptationF165.92—Unverified
4SAIS-RoBERTa-largeF165.11—Unverified
5Eider-RoBERTa-largeF164.79—Unverified
6DocuNet-RoBERTa-largeF164.55—Unverified
7CGM2IR-RoBERTalargeF163.89—Unverified
8SETE-Roberta-largeF163.74—Unverified
9ATLOP-RoBERTa-largeF163.4—Unverified
10DRE-MIR-BERTbaseF163.15—Unverified
#ModelMetricClaimedVerifiedStatus
1RAG4REF186.6—Unverified
2DeepStruct multi-task w/ finetuneF176.8—Unverified
3UNiST (LARGE)F175.5—Unverified
4RE-MCF175.4—Unverified
5GenPT (T5)F175.3—Unverified
6RECENT+SpanBERTF175.2—Unverified
7SuRE (PEGASUS-large)F175.1—Unverified
8EXOBRAINF175—Unverified
9Relation ReductionF174.8—Unverified
10RoBERTa-large-typed-markerF174.6—Unverified
#ModelMetricClaimedVerifiedStatus
1SPF191.9—Unverified
2RIFREF191.3—Unverified
3REDNF191—Unverified
4SPOTF190.6—Unverified
5KLGF190.5—Unverified
6RELAF190.4—Unverified
7Skeleton-Aware BERTF190.36—Unverified
8KnowPromptF190.3—Unverified
9LUKEF190.3—Unverified
10EPGNNF190.2—Unverified
#ModelMetricClaimedVerifiedStatus
1Span-levelNER Micro F185.98—Unverified
2Dual Pointer Network(multi-head)Relation classification F180.8—Unverified
3Dual Pointer NetworkRelation classification F180.5—Unverified
4PL-MarkerRE Micro F173—Unverified
5ASP+T5-3BRE Micro F172.7—Unverified
6GoLLIERE Micro F170.1—Unverified
7Ours: cross-sentence ALBRE Micro F169.4—Unverified
8MGERE+ Micro F168.2—Unverified
9HySPA (ours) w/ RoBERTaRelation F168.2—Unverified
10RNN+CNNRelation classification F167.7—Unverified
#ModelMetricClaimedVerifiedStatus
1ReLiK-LargeRE+ Micro F178.1—Unverified
2REBELRE+ Macro F1 76.65—Unverified
3ASP+T0-3BRE+ Micro F176.3—Unverified
4Table-SequenceRE+ Macro F1 75.4—Unverified
5SpERTRE+ Macro F1 72.87—Unverified
6DeeperRE+ Macro F1 72.63—Unverified
7TANLRE+ Micro F172.6—Unverified
8TablERTRE+ Micro F172.6—Unverified
9TriMFRE+ Micro F172.35—Unverified
10Multi-turn QARE+ Micro F168.9—Unverified
#ModelMetricClaimedVerifiedStatus
1PFN (ALBERT XXL, average aggregation)RE+ Macro F183.9—Unverified
2DeeperRE+ Macro F183.74—Unverified
3PFN (ALBERT XXL, no aggregation)RE+ Macro F183.2—Unverified
4SpERT.PL (without overlap and BioBERT)RE+ Macro F182.39—Unverified
5REBEL (including overlapping entities)RE+ Macro F182.2—Unverified
6SpERT.PL (with overlap and BioBERT)RE+ Macro F182.03—Unverified
7CMANRE+ Macro F181.14—Unverified
8Table-SequenceRE+ Macro F180.1—Unverified
9CLDR + CLNERRE+ Macro F179.97—Unverified
10SpERT (without overlap)RE+ Macro F179.24—Unverified
#ModelMetricClaimedVerifiedStatus
1UniRelF194.7—Unverified
2PFNF193.6—Unverified
3SPNF193.4—Unverified
4TDEERF193.1—Unverified
5RIFREF192.6—Unverified
6TPLinkerF191.9—Unverified
7HBT (CasRel)F191.8—Unverified
8RIN (BERT, K=2)F190.1—Unverified
9CGT(UniLM)F183.4—Unverified