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 1051–1100 of 1977 papers

TitleStatusHype
Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation ExtractionCode1
Leveraging Semantic Parsing for Relation Linking over Knowledge BasesCode1
DeNERT-KG: Named Entity and Relation Extraction Model Using DQN, Knowledge Graph, and BERT—0
Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation ExtractionCode0
Cascaded Models for Better Fine-Grained Named Entity Recognition—0
On Robustness and Bias Analysis of BERT-based Relation ExtractionCode1
Contrastive Triple Extraction with Generative Transformer—0
Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention NetworksCode1
Meta-Learning with Sparse Experience Replay for Lifelong Language LearningCode1
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective FunctionCode1
High-throughput relation extraction algorithm development associating knowledge articles and electronic health records—0
Extracting Semantic Concepts and Relations from Scientific Publications by Using Deep Learning—0
A Bidirectional Tree Tagging Scheme for Joint Medical Relation Extraction—0
SemEval-2020 Task 6: Definition extraction from free text with the DEFT corpus—0
Two Step Joint Model for Drug Drug Interaction Extraction—0
Entity and Evidence Guided Relation Extraction for DocRED—0
Do Syntax Trees Help Pre-trained Transformers Extract Information?Code1
An Annotated Corpus of Webtables for Information Extraction Tasks—0
Distantly Supervised Relation Extraction in Federated SettingsCode1
Improving Document-level Relation Extraction via Contextualizing Mention Representations and Weighting Mention PairsCode0
Relation Extraction with Self-determined Graph Convolutional Network—0
Domain-Specific Language Model Pretraining for Biomedical Natural Language ProcessingCode0
Improving Performance of Relation Extraction Algorithm via Leveled Adversarial PCNN and Database Expansion—0
NoPropaganda at SemEval-2020 Task 11: A Borrowed Approach to Sequence Tagging and Text ClassificationCode0
Few-shot Relation Extraction via Bayesian Meta-learning on Relation GraphsCode1
Pynsett: A programmable relation extractorCode1
Modeling Dense Cross-Modal Interactions for Joint Entity-Relation Extraction—0
A Relation-Specific Attention Network for Joint Entity and Relation ExtractionCode1
Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation ExtractionCode1
DeSpin: a prototype system for detecting spin in biomedical publications—0
A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction—0
SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction—0
Exploiting the Syntax-Model Consistency for Neural Relation Extraction—0
TURL: Table Understanding through Representation LearningCode1
Neural relation extraction: a survey—0
Extracting N-ary Cross-sentence Relations using Constrained Subsequence Kernel—0
Semantic Loss Application to Entity Relation Recognition—0
Relation of the Relations: A New Paradigm of the Relation Extraction ProblemCode1
Improving Distantly-Supervised Relation Extraction through BERT-based Label & Instance Embeddings—0
Identification des probl\`emes d'annotation pour l'extraction de relations (Identification of annotation problem for the relation extraction)—0
Benchmarking BioRelEx for Entity Tagging and Relation Extraction—0
Recognizing Chinese Judicial Named Entity using BiLSTM-CRF—0
A Comparative Study of Lexical Substitution Approaches based on Neural Language Models—0
Relation Extraction with Explanation—0
Unsupervised Relation Extraction from Language Models using Constrained Cloze Completion—0
A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation ExtractionCode1
Semi-Automating Knowledge Base Construction for Cancer Genetics—0
In Layman's Terms: Semi-Open Relation Extraction from Scientific TextsCode1
A Scientific Information Extraction Dataset for Nature Inspired EngineeringCode1
An Evaluation of Recent Neural Sequence Tagging Models in Turkish Named Entity Recognition—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
8LUKEF190.3—Unverified
9KnowPromptF190.3—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
7TablERTRE+ Micro F172.6—Unverified
8TANLRE+ 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