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 1101–1150 of 1977 papers

TitleStatusHype
Seed Selection for Distantly Supervised Web-Based Relation Extraction—0
Seeing Beyond the Scene: Enhancing Vision-Language Models with Interactional Reasoning—0
SEE: Syntax-aware Entity Embedding for Neural Relation Extraction—0
SegMix: A Simple Structure-Aware Data Augmentation Method—0
SegMix: A Simple Structure-Aware Data Augmentation Method—0
Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction—0
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction—0
Self-Crowdsourcing Training for Relation Extraction—0
Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction—0
Self-training with Modeling Ambiguous Data for Low-Resource Relation Extraction—0
Semantically Smooth Knowledge Graph Embedding—0
Semantic Consistency: A Local Subspace Based Method for Distant Supervised Relation Extraction—0
Semantic Equivalence Detection: Are Interrogatives Harder than Declaratives?—0
Semantic Loss Application to Entity Relation Recognition—0
Semantic relation clustering for unsupervised information extraction (Regroupement s\'emantique de relations pour l'extraction d'information non supervis\'ee) [in French]—0
Semantic Relation Extraction from a Cultural Database—0
Semantic Relation Extraction with Semantic Patterns Experiment on Radiology Reports—0
Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction—0
SemEval-2010 Task 13: TempEval-2—0
SemEval-2013 Task 1: TempEval-3: Evaluating Time Expressions, Events, and Temporal Relations—0
SemEval-2014 Task 6: Supervised Semantic Parsing of Robotic Spatial Commands—0
SemEval-2015 Task 4: TimeLine: Cross-Document Event Ordering—0
SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers—0
SemEval-2020 Task 6: Definition extraction from free text with the DEFT corpus—0
Semi-Automating Knowledge Base Construction for Cancer Genetics—0
Semi-Supervised Learning with Declaratively Specified Entropy Constraints—0
Semi-supervised Relation Extraction via Data Augmentation and Consistency-training—0
Semi-Supervised Teacher-Student Architecture for Relation Extraction—0
Sentence-Level Relation Extraction via Contrastive Learning with Descriptive Relation Prompts—0
Sentence Similarity based on Dependency Tree Kernels for Multi-document Summarization—0
Senti-LSSVM: Sentiment-Oriented Multi-Relation Extraction with Latent Structural SVM—0
Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction—0
Seq2rel: A sequence-to-sequence-based approach for document-level relation extraction—0
SetExpander: End-to-end Term Set Expansion Based on Multi-Context Term Embeddings—0
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis—0
Sieve-Based Spatial Relation Extraction with Expanding Parse Trees—0
Simple Hierarchical Multi-Task Neural End-To-End Entity Linking for Biomedical Text—0
Simple Large-scale Relation Extraction from Unstructured Text—0
Simplification de phrases pour l'extraction de relations (Sentence Simplification for Relation Extraction) [in French]—0
Simultaneously Linking Entities and Extracting Relations from Biomedical Text Without Mention-level Supervision—0
SIRIUS-LTG-UiO at SemEval-2018 Task 7: Convolutional Neural Networks with Shortest Dependency Paths for Semantic Relation Extraction and Classification in Scientific Papers—0
Slot Filling for Biomedical Information Extraction—0
Small Language Models as Effective Guides for Large Language Models in Chinese Relation Extraction—0
Socratic Learning: Augmenting Generative Models to Incorporate Latent Subsets in Training Data—0
Span-based Joint Entity and Relation Extraction with Attention-based Span-specific and Contextual Semantic Representations—0
Span-based joint entity and relation extraction augmented with sequence tagging mechanism—0
Span-Level Model for Relation Extraction—0
SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction—0
STable: Table Generation Framework for Encoder-Decoder Models—0
Stance Detection in Facebook Posts of a German Right-wing Party—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
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