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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 751–800 of 1977 papers

TitleStatusHype
Deep Learning on Graphs for Natural Language Processing—0
Deep Learning Models in Detection of Dietary Supplement Adverse Event Signals from Twitter—0
AutoRD: An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontologies-enhanced Large Language Models—0
Deep Learning Approaches for Extracting Adverse Events and Indications of Dietary Supplements from Clinical Text—0
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population—0
Automatic Wayang Ontology Construction using Relation Extraction from Free Text—0
DeepGeneMD: A Joint Deep Learning Model for Extracting Gene Mutation-Disease Knowledge from PubMed Literature—0
Deep Exhaustive Model for Nested Named Entity Recognition—0
Automatic semantic relation extraction from Portuguese texts—0
An Empirical Study on Relation Extraction in the Biomedical Domain—0
A Feature-Enriched Tree Kernel for Relation Extraction—0
Deep Bidirectional Transformers for Relation Extraction without Supervision—0
Automatic Food Categorization from Large Unlabeled Corpora and Its Impact on Relation Extraction—0
Decorate the Examples: A Simple Method of Prompt Design for Biomedical Relation Extraction—0
Dealing with negative samples with multi-task learning on span-based joint entity-relation extraction—0
Automatic Extraction of Time Expressions Accross Domains in French Narratives—0
DCT-Centered Temporal Relation Extraction—0
Automatic Extraction of Ranked SNP-Phenotype Associations from Literature through Detecting Neural Candidates, Negation and Modality Markers—0
Adversarial Training for Relation Extraction—0
A Constituency Parsing Tree based Method for Relation Extraction from Abstracts of Scholarly Publications—0
A Biomedical Information Extraction Primer for NLP Researchers—0
Dataset for N-ary Relation Extraction of Drug Combinations—0
Data-driven Paraphrasing and Stylistic Harmonization—0
Automatic Extraction of Causal Relations from Natural Language Texts: A Comprehensive Survey—0
DARE: Data Augmented Relation Extraction with GPT-2—0
Automatic Evaluation of Relation Extraction Systems on Large-scale—0
Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networks—0
Pareto Optimal Learning for Estimating Large Language Model Errors—0
An Empirical Study of Causal Relation Extraction Transfer: Design and Data—0
Cross-Sentence N-ary Relation Extraction with Graph LSTMs—0
Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas—0
Automatic Animacy Classification—0
Automatically Labeled Data Generation for Large Scale Event Extraction—0
Cross-lingual Transfer for Unsupervised Dependency Parsing Without Parallel Data—0
Cross-lingual Structure Transfer for Relation and Event Extraction—0
Cross-Lingual Relation Extraction with Transformers—0
Automatically Generating Counterfactuals for Relation Classification—0
An Efficient Active Learning Framework for New Relation Types—0
A Concrete Chinese NLP Pipeline—0
Cross-lingual Inference with A Chinese Entailment Graph—0
Cross-Lingual Adaptation Using Universal Dependencies—0
Automated Graph Generation at Sentence Level for Reading Comprehension Based on Conceptual Graphs—0
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation—0
Cross-Document Temporal Relation Extraction with Temporal Anchoring Events—0
An Auxiliary Classifier Generative Adversarial Framework for Relation Extraction—0
CREFT: Sequential Multi-Agent LLM for Character Relation Extraction—0
CREER: A Large-Scale Corpus for Relation Extraction and Entity Recognition—0
A Unified Representation Learning Strategy for Open Relation Extraction with Ranked List Loss—0
Adversarial Learning for Supervised and Semi-supervised Relation Extraction in Biomedical Literature—0
Creation of an Annotated Corpus of Spanish Radiology Reports—0
Show:102550
← PrevPage 16 of 40Next →
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