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 1801–1850 of 1977 papers

TitleStatusHype
Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding—0
Distant Supervision for Relation Extraction with an Incomplete Knowledge Base—0
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction—0
Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity Descriptions—0
Distant Supervision for Relation Extraction with Multi-sense Word Embedding—0
Distant Supervision for Relation Extraction with Hierarchical Attention-Based Networks—0
Self-Crowdsourcing Training for Relation Extraction—0
Distilling Named Entity Recognition Models for Endangered Species from Large Language Models—0
Distinguishing Between Foreground and Background Events in News—0
Distributed Prediction of Relations for Entities: The Easy, The Difficult, and The Impossible—0
Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection—0
Distributional semantic modeling: a revised technique to train term/word vector space models applying the ontology-related approach—0
Diversifiable Bootstrapping for Acquiring High-Coverage Paraphrase Resource—0
Improving Distant Supervised Relation Extraction by Dynamic Neural Network—0
DocIE@XLLM25: In-Context Learning for Information Extraction using Fully Synthetic Demonstrations—0
Character based String Kernels for Bio-Entity Relation Detection—0
Challenges in Information Extraction from Tables in Biomedical Research Publications: a Dataset Analysis—0
Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction—0
A Framework for Relation Extraction Across Multiple Datasets in Multiple Domains—0
Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering—0
Document-level Clinical Entity and Relation Extraction via Knowledge Base-Guided Generation—0
Document-Level N-ary Relation Extraction with Multiscale Representation Learning—0
Document-Level N-ary Relation Extraction with Multiscale Representation Learning—0
Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding—0
Document-Level Relation Extraction via Pair-Aware and Entity-Enhanced Representation Learning—0
Chain-of-Thought Prompt Distillation for Multimodal Named Entity Recognition and Multimodal Relation Extraction—0
Chain Based RNN for Relation Classification—0
Document-level Relation Extraction with Context Guided Mention Integration and Inter-pair Reasoning—0
CERES: Distantly Supervised Relation Extraction from the Semi-Structured Web—0
CEntRE: A paragraph-level Chinese dataset for Relation Extraction among Enterprises—0
Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction—0
Document-Level Relation Extraction with Structure Enhanced Transformer Encoder—0
Self-training with Modeling Ambiguous Data for Low-Resource Relation Extraction—0
Semantically Smooth Knowledge Graph Embedding—0
Document-level Relation Extraction with Dual-tier Heterogeneous Graph—0
Document Level Time-anchoring for TimeLine Extraction—0
Semantic Consistency: A Local Subspace Based Method for Distant Supervised Relation Extraction—0
CDE-IIITH at SemEval-2016 Task 12: Extraction of Temporal Information from Clinical documents using Machine Learning techniques—0
Does Synthetic Data Generation of LLMs Help Clinical Text Mining?—0
Semantic Equivalence Detection: Are Interrogatives Harder than Declaratives?—0
Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach—0
Domain Adaptation for Relation Extraction with Domain Adversarial Neural Network—0
Domain adaptation in practice: Lessons from a real-world information extraction pipeline—0
Domain Adaptation of a Dependency Parser with a Class-Class Selectional Preference Model—0
Domain Adapted Distant Supervision for Pedagogically Motivated Relation Extraction—0
Semantic Loss Application to Entity Relation Recognition—0
Unsupervised Relation Extraction from Language Models using Constrained Cloze Completion—0
CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification—0
Causal Tree Extraction from Medical Case Reports: A Novel Task for Experts-like Text Comprehension—0
Do the Benefits of Joint Models for Relation Extraction Extend to Document-level Tasks?—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