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 501–550 of 1977 papers

TitleStatusHype
Revisiting Document-Level Relation Extraction with Context-Guided Link PredictionCode0
Mining experimental data from Materials Science literature with Large Language Models: an evaluation studyCode0
MatSciRE: Leveraging Pointer Networks to Automate Entity and Relation Extraction for Material Science Knowledge-base Construction—0
Distantly Supervised Morpho-Syntactic Model for Relation Extraction—0
Dynamic Relation Transformer for Contextual Text Block Detection—0
BERTologyNavigator: Advanced Question Answering with BERT-based Semantics—0
EMBRE: Entity-aware Masking for Biomedical Relation Extraction—0
Developing ChatGPT for Biology and Medicine: A Complete Review of Biomedical Question Answering—0
Joint Extraction of Uyghur Medicine Knowledge with Edge Computing—0
Learning from Semi-Factuals: A Debiased and Semantic-Aware Framework for Generalized Relation Discovery—0
Exploring the Effectiveness of Instruction Tuning in Biomedical Language Processing—0
Synergistic Anchored Contrastive Pre-training for Few-Shot Relation ExtractionCode0
Entity or Relation Embeddings? An Analysis of Encoding Strategies for Relation ExtractionCode0
HyperPIE: Hyperparameter Information Extraction from Scientific PublicationsCode0
High-throughput Biomedical Relation Extraction for Semi-Structured Web Articles Empowered by Large Language Models—0
Large language models in healthcare and medical domain: A review—0
BED: Bi-Encoder-Decoder Model for Canonical Relation Extraction—0
Generative Large Language Models Are All-purpose Text Analytics Engines: Text-to-text Learning Is All Your Need—0
Redefining Developer Assistance: Through Large Language Models in Software Ecosystem—0
Adaptive Hinge Balance Loss for Document-Level Relation ExtractionCode0
Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction—0
Improving Unsupervised Relation Extraction by Augmenting Diverse Sentence PairsCode0
Comparison of pipeline, sequence-to-sequence, and GPT models for end-to-end relation extraction: experiments with the rare disease use-caseCode0
How well ChatGPT understand Malaysian English? An Evaluation on Named Entity Recognition and Relation ExtractionCode0
SegMix: A Simple Structure-Aware Data Augmentation Method—0
CARE: Extracting Experimental Findings From Clinical Literature—0
GIELLM: Japanese General Information Extraction Large Language Model Utilizing Mutual Reinforcement Effect—0
Relation Extraction in underexplored biomedical domains: A diversity-optimised sampling and synthetic data generation approachCode0
Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction—0
Principles from Clinical Research for NLP Model Generalization—0
Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse FinetuningCode0
Relation Extraction Model Based on Semantic Enhancement Mechanism—0
An Introduction to Natural Language Processing Techniques and Framework for Clinical Implementation in Radiation Oncology—0
Relation Extraction from News Articles (RENA): A Tool for Epidemic Surveillance—0
Sentence Bag Graph Formulation for Biomedical Distant Supervision Relation ExtractionCode0
Nearest Neighbor Search over Vectorized Lexico-Syntactic Patterns for Relation Extraction from Financial DocumentsCode0
TIMELINE: Exhaustive Annotation of Temporal Relations Supporting the Automatic Ordering of Events in News ArticlesCode0
Enhancing Document Information Analysis with Multi-Task Pre-training: A Robust Approach for Information Extraction in Visually-Rich Documents—0
A Unified View of Evaluation Metrics for Structured PredictionCode0
Controlled Randomness Improves the Performance of Transformer Models—0
Learning Gradient Fields for Scalable and Generalizable Irregular Packing—0
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain AdaptationCode0
Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding—0
Open Information Extraction: A Review of Baseline Techniques, Approaches, and Applications—0
Rethinking Relation Classification with Graph Meaning Representations—0
PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming—0
Effects of Human Adversarial and Affable Samples on BERT Generalization—0
I2SRM: Intra- and Inter-Sample Relationship Modeling for Multimodal Information ExtractionCode0
Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction—0
Distantly-Supervised Joint Extraction with Noise-Robust LearningCode0
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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