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 801–850 of 1977 papers

TitleStatusHype
Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction—0
Comparable Study of Event Extraction in Newswire and Biomedical Domains—0
A Survey of Distant Supervision Methods using PGMs—0
Extracting Radiological Findings With Normalized Anatomical Information Using a Span-Based BERT Relation Extraction Model—0
A Gold Standard for Relation Extraction in the Food Domain—0
Extracting Relational Triples Based on Graph Recursive Neural Network via Dynamic Feedback Forest Algorithm—0
Extracting Relations between Radiotherapy Treatment Details—0
Extracting Semantic Concepts and Relations from Scientific Publications by Using Deep Learning—0
Extracting Semantics from Maintenance Records—0
Extracting Spatial Entities and Relations in Korean Text—0
Extracting Structured Seed-Mediated Gold Nanorod Growth Procedures from Literature with GPT-3—0
Extracting Temporal and Causal Relations between Events—0
Complex Relation Extraction: Challenges and Opportunities—0
Extracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models—0
A Global-Local Attention Mechanism for Relation Classification—0
Extraction of Diagnostic Reasoning Relations for Clinical Knowledge Graphs—0
Comprehensive Event Representations using Event Knowledge Graphs and Natural Language Processing—0
Extraction of Regulatory Events using Kernel-based Classifiers and Distant Supervision—0
Facebook 活動事件擷取系統(Facebook Activity Event Extraction System)[In Chinese]—0
Confidence estimation of classification based on the distribution of the neural network output layer—0
Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction—0
FarsBase-KBP: A Knowledge Base Population System for the Persian Knowledge Graph—0
Dual Pointer Network for Fast Extraction of Multiple Relations in a Sentence—0
Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction—0
FBK-irst : A Multi-Phase Kernel Based Approach for Drug-Drug Interaction Detection and Classification that Exploits Linguistic Information—0
A Masked Image Reconstruction Network for Document-level Relation Extraction—0
Feature Derivation for Exploitation of Distant Annotation via Pattern Induction against Dependency Parses—0
Feature engineering vs. deep learning for paper section identification: Toward applications in Chinese medical literature—0
Feature-Rich Networks for Knowledge Base Completion—0
FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction—0
Book Review: Biomedical Natural Language Processing by Kevin Bretonnel Cohen and Dina Demner-Fushman—0
Dual Architecture for Name Entity Extraction and Relation Extraction with Applications in Medical Corpora—0
DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction—0
BomJi at SemEval-2018 Task 10: Combining Vector-, Pattern- and Graph-based Information to Identify Discriminative Attributes—0
Few-shot Open Relation Extraction with Gaussian Prototype and Adaptive Margin—0
DRK: Discriminative Rule-based Knowledge for Relieving Prediction Confusions in Few-shot Relation Extraction—0
Few-shot Relation Extraction via Bayesian Meta-learning on Task Graphs—0
Few-Shot Relation Extraction with Hybrid Visual Evidence—0
BitCoin: Bidirectional Tagging and Supervised Contrastive Learning based Joint Relational Triple Extraction Framework—0
Active Testing: An Unbiased Evaluation Method for Distantly Supervised Relation Extraction—0
Filling Knowledge Base Gaps for Distant Supervision of Relation Extraction—0
Financial Document Causality Detection Shared Task (FinCausal 2020)—0
BIOS: An Algorithmically Generated Biomedical Knowledge Graph—0
Constructing large scale biomedical knowledge bases from scratch with rapid annotation of interpretable patterns—0
Attending to All Mention Pairs for Full Abstract Biological Relation Extraction—0
Improving Knowledge Base Construction from Robust Infobox Extraction—0
Antonym-Synonym Classification Based on New Sub-space Embeddings—0
Fine-Grained Temporal Relation Extraction—0
GIELLM: Japanese General Information Extraction Large Language Model Utilizing Mutual Reinforcement Effect—0
DPR at SemEval-2021 Task 8: Dynamic Path Reasoning for Measurement Relation Extraction—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