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 1001–1050 of 1977 papers

TitleStatusHype
Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge—0
Prompt Augmented Generative Replay via Supervised Contrastive Learning for Lifelong Intent Detection—0
Prompting Large Language Models for Clinical Temporal Relation Extraction—0
PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming—0
Propagation Strategies for Building Temporal Ontologies—0
Proposition Knowledge Graphs—0
ProtoEM: A Prototype-Enhanced Matching Framework for Event Relation Extraction—0
Prototypical Representation Learning for Low-resource Knowledge Extraction: Summary and Perspective—0
Pushing the Limits of ChatGPT on NLP Tasks—0
Query-based Instance Discrimination Network for Relational Triple Extraction—0
QUEST: A Natural Language Interface to Relational Databases—0
RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction—0
RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements—0
RDSGAN: Rank-based Distant Supervision Relation Extraction with Generative Adversarial Framework—0
Reading The Web with Learned Syntactic-Semantic Inference Rules—0
Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction—0
Recall Them All: Retrieval-Augmented Language Models for Long Object List Extraction from Long Documents—0
Recipe Instruction Semantics Corpus (RISeC): Resolving Semantic Structure and Zero Anaphora in Recipes—0
Recognizing Chinese Judicial Named Entity using BiLSTM-CRF—0
Recognizing Complex Entity Mentions: A Review and Future Directions—0
Recognizing UMLS Semantic Types with Deep Learning—0
Recovering Patient Journeys: A Corpus of Biomedical Entities and Relations on Twitter (BEAR)—0
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations—0
Recurrent Interaction Network for Jointly Extracting Entities andClassifying Relations—0
Recurrent Neural Network with Word Embedding for Complaint Classification—0
Redefining Developer Assistance: Through Large Language Models in Software Ecosystem—0
Reduce, Reuse, Recycle: New uses for old QA resources—0
Reducing Wrong Labels in Distant Supervision for Relation Extraction—0
REFRACTIVE: An Open Source Tool to Extract Knowledge from Syntactic and Semantic Relations—0
Regularized Attentive Capsule Network for Overlapped Relation Extraction—0
Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction—0
REKnow: Enhanced Knowledge for Joint Entity and Relation Extraction—0
Relabeling Distantly Supervised Training Data for Temporal Knowledge Base Population—0
Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents—0
Relating Relations: Meta-Relation Extraction from Online Health Forum Posts—0
Relation Adversarial Network for Low Resource Knowledge Graph Completion—0
Relational Structures and Models for Coreference Resolution—0
Relational Summarization for Corpus Analysis—0
Relation- and Phrase-level Linking of FrameNet with Sar-graphs—0
Relation Classification via Multi-Level Attention CNNs—0
Relation Classification with Cognitive Attention Supervision—0
Relation Classification with Entity Type Restriction—0
Relation Extraction among Multiple Entities Using a Dual Pointer Network with a Multi-Head Attention Mechanism—0
Relation Classification as Two-way Span-Prediction—0
Relation extraction between the clinical entities based on the shortest dependency path based LSTM—0
Relation Extraction Datasets in the Digital Humanities Domain and their Evaluation with Word Embeddings—0
Relation Extraction from Biomedical and Clinical Text: Unified Multitask Learning Framework—0
Relation extraction from clinical texts using domain invariant convolutional neural network—0
Relation Extraction from Community Generated Question-Answer Pairs—0
Relation Extraction from News Articles (RENA): A Tool for Epidemic Surveillance—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