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 1151–1200 of 1977 papers

TitleStatusHype
STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models—0
STIXnet: A Novel and Modular Solution for Extracting All STIX Objects in CTI Reports—0
Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization—0
Streaming Text Analytics for Real-Time Event Recognition—0
StruAP: A Tool for Bundling Linguistic Trees through Structure-based Abstract Pattern—0
Structural block driven - enhanced convolutional neural representation for relation extraction—0
Structural Linguistics and Unsupervised Information Extraction—0
Structural Representations for Learning Relations between Pairs of Texts—0
Structured information extraction from complex scientific text with fine-tuned large language models—0
Summarization for Generative Relation Extraction in the Microbiome Domain—0
Supersense tagging for Danish—0
Supervised classification of end-of-lines in clinical text with no manual annotation—0
Chinese User Service Intention Classification Based on Hybrid Neural Network—0
Support Vector Machine Active Learning Algorithms with Query-by-Committee versus Closest-to-Hyperplane Selection—0
SUTime: A library for recognizing and normalizing time expressions—0
Synchronous Dual Network with Cross-Type Attention for Joint Entity and Relation Extraction—0
SynsetRank: Degree-adjusted Random Walk for Relation Identification—0
Syntax-aware Multi-task Graph Convolutional Networks for Biomedical Relation Extraction—0
Syntax-based Transfer Learning for the Task of Biomedical Relation Extraction—0
SystemT: Declarative Text Understanding for Enterprise—0
TableIE: Capture the Interactions among Joint Information Extraction Explicitly via Double Tables—0
TacoERE: Cluster-aware Compression for Event Relation Extraction—0
TagNText: A parallel corpus for the induction of resource-specific non-taxonomical relations from tagged images—0
TakeLab at SemEval-2018 Task 7: Combining Sparse and Dense Features for Relation Classification in Scientific Texts—0
Task formulation for Extracting Social Determinants of Health from Clinical Narratives—0
TDRE: A Tensor Decomposition Based Approach for Relation Extraction—0
Techniques for Jointly Extracting Entities and Relations: A Survey—0
TEES 2.1: Automated Annotation Scheme Learning in the BioNLP 2013 Shared Task—0
TEG-REP: A corpus of Textual Entailment Graphs based on Relation Extraction Patterns—0
Tel(s)-Telle(s)-Signs: Highly Accurate Automatic Crosslingual Hypernym Discovery—0
Temporal information extraction from clinical text—0
Temporally Anchored Relation Extraction—0
Temporal Reasoning Graph for Activity Recognition—0
Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach—0
Temporal Relation Extraction with a Graph-Based Deep Biaffine Attention Model—0
TemPrompt: Multi-Task Prompt Learning for Temporal Relation Extraction in RAG-based Crowdsourcing Systems—0
Texterra at SemEval-2018 Task 7: Exploiting Syntactic Information for Relation Extraction and Classification in Scientific Papers—0
Text Mining Drug/Chemical-Protein Interactions using an Ensemble of BERT and T5 Based Models—0
Text-to-Table: A New Way of Information Extraction—0
Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning—0
The AI2 system at SemEval-2017 Task 10 (ScienceIE): semi-supervised end-to-end entity and relation extraction—0
The Dots Have Their Values: Exploiting the Node-Edge Connections in Graph-based Neural Models for Document-level Relation Extraction—0
The Effects of Hallucinations in Synthetic Training Data for Relation Extraction—0
The Event StoryLine Corpus: A New Benchmark for Causal and Temporal Relation Extraction—0
The Financial Document Causality Detection Shared Task (FinCausal 2020)—0
The Gun Violence Database: A new task and data set for NLP—0
The Impact of Semantic Linguistic Features in Relation Extraction: A Logical Relational Learning Approach—0
The impact of simple feature engineering in multilingual medical NER—0
The Joint Entity-Relation Extraction Model Based on Span and Interactive Fusion Representation for Chinese Medical Texts with Complex Semantics—0
The performance evaluation of Multi-representation in the Deep Learning models for Relation Extraction Task—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