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 751–800 of 1977 papers

TitleStatusHype
Dynamic Graph Transformer for Implicit Tag Recognition—0
Boosting Span-based Joint Entity and Relation Extraction via Squence Tagging Mechanism—0
Event Role Extraction using Domain-Relevant Word Representations—0
Event Temporal Relation Extraction based on Retrieval-Augmented on LLMs—0
Event Temporal Relation Extraction with Bayesian Translational Model—0
DUTIR in BioNLP-ST 2016: Utilizing Convolutional Network and Distributed Representation to Extract Complicate Relations—0
Experiments on transfer learning architectures for biomedical relation extraction—0
Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data—0
Boosting Open Information Extraction with Noun-Based Relations—0
Exploiting Parallel News Streams for Unsupervised Event Extraction—0
A Gold Standard for Relation Extraction in the Food Domain—0
Exploiting Partially Annotated Data in Temporal Relation Extraction—0
A Global-Local Attention Mechanism for Relation Classification—0
Exploiting the Scope of Negations and Heterogeneous Features for Relation Extraction: A Case Study for Drug-Drug Interaction Extraction—0
Dual Pointer Network for Fast Extraction of Multiple Relations in a Sentence—0
Exploiting the Syntax-Model Consistency for Neural Relation Extraction—0
Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction—0
Exploratory Relation Extraction in Large Text Corpora—0
Book Review: Biomedical Natural Language Processing by Kevin Bretonnel Cohen and Dina Demner-Fushman—0
Exploring Automatically Perturbed Natural Language Explanations in Relation Extraction—0
Exploring Fine-grained Entity Type Constraints for Distantly Supervised Relation Extraction—0
Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text—0
Exploring Relational Features and Learning under Distant Supervision for Information Extraction Tasks—0
Exploring Semi-supervised Variational Autoencoders for Biomedical Relation Extraction—0
Exploring Spatial Representations in the Historical Lake District Texts with LLM-based Relation Extraction—0
Dual Architecture for Name Entity Extraction and Relation Extraction with Applications in Medical Corpora—0
Exploring Text Representations for Generative Temporal Relation Extraction—0
Exploring the Effectiveness of Instruction Tuning in Biomedical Language Processing—0
Exploring the Suitability of Semantic Spaces as Word Association Models for the Extraction of Semantic Relationships—0
Exploring Vector Spaces for Semantic Relations—0
Exploring Word Embedding for Drug Name Recognition—0
Combining Generative and Discriminative Model Scores for Distant Supervision—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
Extracting Adverse Drug Events from Clinical Notes—0
Extracting all Aspect-polarity Pairs Jointly in a Text with Relation Extraction Approach—0
Extracting and Visualizing Semantic Relationships from Chinese Biomedical Text—0
Extracting Complex Relations from Banking Documents—0
Extracting Definitions and Hypernym Relations relying on Syntactic Dependencies and Support Vector Machines—0
Extracting Drug-Drug Interactions with Attention CNNs—0
Fine-grained Temporal Relation Extraction with Ordered-Neuron LSTM and Graph Convolutional Networks—0
DRK: Discriminative Rule-based Knowledge for Relieving Prediction Confusions in Few-shot Relation Extraction—0
Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based Results—0
BitCoin: Bidirectional Tagging and Supervised Contrastive Learning based Joint Relational Triple Extraction Framework—0
Extracting Gene Regulation Networks Using Linear-Chain Conditional Random Fields and Rules—0
Extracting Higher Order Relations From Biomedical Text—0
Extracting Implicit Social Relation for Social Recommendation Techniques in User Rating Prediction—0
Extracting Kinship from Obituary to Enhance Electronic Health Records for Genetic Research—0
Active Testing: An Unbiased Evaluation Method for Distantly Supervised Relation Extraction—0
BIOS: An Algorithmically Generated Biomedical Knowledge Graph—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