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
A Sui Generis QA Approach using RoBERTa for Adverse Drug Event Identification—0
A Study of Recent Contributions on Information Extraction—0
Combining Tree Structures, Flat Features and Patterns for Biomedical Relation Extraction—0
Combining Temporal Information and Topic Modeling for Cross-Document Event Ordering—0
DeNERT-KG: Named Entity and Relation Extraction Model Using DQN, Knowledge Graph, and BERT—0
Denoising Distant Supervision for Relation Extraction via Instance-Level Adversarial Training—0
A Comparison of the Events and Relations Across ACE, ERE, TAC-KBP, and FrameNet Annotation Standards—0
Dependency-Based Open Information Extraction—0
Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels—0
Combining Neural Networks and Log-linear Models to Improve Relation Extraction—0
A Study of Hybrid Similarity Measures for Semantic Relation Extraction—0
Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction—0
Combining Language and Graph Models for Semi-structured Information Extraction on the Web—0
A Study of Heterogeneous Similarity Measures for Semantic Relation Extraction—0
Dynamic Relation Transformer for Contextual Text Block Detection—0
Combining Generative and Discriminative Model Scores for Distant Supervision—0
Combining Distant and Partial Supervision for Relation Extraction—0
A Structured Literature Review on Traditional Approaches in Current Natural Language Processing—0
Combining Context and Knowledge Representations for Chemical-Disease Relation Extraction—0
Combined Distributional and Logical Semantics—0
A Structured Learning Approach to Temporal Relation Extraction—0
A Lexicalized Tree Kernel for Open Information Extraction—0
Collapse of Dense Retrievers: Short, Early, and Literal Biases Outranking Factual Evidence—0
A Dataset for N-ary Relation Extraction of Drug Combinations—0
Dynamic Graph Transformer for Implicit Tag Recognition—0
A LayoutLMv3-Based Model for Enhanced Relation Extraction in Visually-Rich Documents—0
A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction—0
Dynamic Knowledge-Base Alignment for Coreference Resolution—0
Dynamic Multi-View Fusion Mechanism For Chinese Relation Extraction—0
Easy First Relation Extraction with Information Redundancy—0
Effective Slot Filling Based on Shallow Distant Supervision Methods—0
EMBRE: Entity-aware Masking for Biomedical Relation Extraction—0
CO-Fun: A German Dataset on Company Outsourcing in Fund Prospectuses for Named Entity Recognition and Relation Extraction—0
A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction—0
A language-independent method for the extraction of RDF verbalization templates—0
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training—0
ASM Kernel: Graph Kernel using Approximate Subgraph Matching for Relation Extraction—0
A Dataset for Inter-Sentence Relation Extraction using Distant Supervision—0
CNER: A tool Classifier of Named-Entity Relationships—0
Clustering-based Unsupervised Generative Relation Extraction—0
A Comparison of Chinese Parsers for Stanford Dependencies—0
Dual Architecture for Name Entity Extraction and Relation Extraction with Applications in Medical Corpora—0
CLoCE:Contrastive Learning Optimize Continous Prompt Embedding Space in Relation Extraction—0
A Knowledge-Intensive Model for Prepositional Phrase Attachment—0
DRK: Discriminative Rule-based Knowledge for Relieving Prediction Confusions in Few-shot Relation Extraction—0
Clinical Concept and Relation Extraction Using Prompt-based Machine Reading Comprehension—0
CliMedBERT: A Pre-trained Language Model for Climate and Health-related Text—0
A Simple Overlapping Relation Extraction Method Based on Dropout—0
Classifying Temporal Relations by Bidirectional LSTM over Dependency Paths—0
A Simple Model for Distantly Supervised 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