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 201–250 of 1977 papers

TitleStatusHype
Distantly Supervised Morpho-Syntactic Model for Relation Extraction—0
MatSciRE: Leveraging Pointer Networks to Automate Entity and Relation Extraction for Material Science Knowledge-base Construction—0
BERTologyNavigator: Advanced Question Answering with BERT-based Semantics—0
Dynamic Relation Transformer for Contextual Text Block Detection—0
Developing ChatGPT for Biology and Medicine: A Complete Review of Biomedical Question Answering—0
EMBRE: Entity-aware Masking for Biomedical Relation Extraction—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
PEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair ExtractionCode1
An Autoregressive Text-to-Graph Framework for Joint Entity and Relation ExtractionCode2
Exploring the Effectiveness of Instruction Tuning in Biomedical Language Processing—0
Enhancing Low-Resource Relation Representations through Multi-View DecouplingCode1
Open-Vocabulary Video Relation ExtractionCode1
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
Learn or Recall? Revisiting Incremental Learning with Pre-trained Language ModelsCode1
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
Taiyi: A Bilingual Fine-Tuned Large Language Model for Diverse Biomedical TasksCode1
SegMix: A Simple Structure-Aware Data Augmentation Method—0
CARE: Extracting Experimental Findings From Clinical Literature—0
MAVEN-Arg: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument AnnotationCode1
PolyIE: A Dataset of Information Extraction from Polymer Material Scientific LiteratureCode1
Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language ModelsCode1
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
Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation ModelsCode1
Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse FinetuningCode0
Principles from Clinical Research for NLP Model Generalization—0
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
LLMaAA: Making Large Language Models as Active AnnotatorsCode1
Sentence Bag Graph Formulation for Biomedical Distant Supervision Relation ExtractionCode0
Anaphor Assisted Document-Level Relation ExtractionCode1
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
Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural NetworksCode1
Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation ExtractionCode1
Enhancing Document Information Analysis with Multi-Task Pre-training: A Robust Approach for Information Extraction in Visually-Rich Documents—0
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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
8LUKEF190.3—Unverified
9KnowPromptF190.3—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
7TablERTRE+ Micro F172.6—Unverified
8TANLRE+ 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