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

Showing 14011450 of 1977 papers

TitleStatusHype
Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction0
Graph Convolution over Pruned Dependency Trees Improves Relation ExtractionCode0
Chinese User Service Intention Classification Based on Hybrid Neural Network0
CollaboNet: collaboration of deep neural networks for biomedical named entity recognitionCode0
Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction0
Crowdsourcing Semantic Label Propagation in Relation ClassificationCode0
N-ary Relation Extraction using Graph State LSTMCode0
Scientific Relation Extraction with Selectively Incorporated Concept Embeddings0
Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning0
Adversarial training for multi-context joint entity and relation extractionCode0
Incorporating Consistency Verification into Neural Data-to-Document Generation0
Word-Level Loss Extensions for Neural Temporal Relation ClassificationCode0
Adversarial Multi-lingual Neural Relation ExtractionCode0
Exploiting Structure in Representation of Named Entities using Active Learning0
Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological TagsCode0
SetExpander: End-to-end Term Set Expansion Based on Multi-Context Term Embeddings0
Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge BasesCode0
Knowledge Representation and Extraction at Scale0
Cooperative Denoising for Distantly Supervised Relation Extraction0
Distantly Supervised NER with Partial Annotation Learning and Reinforcement LearningCode0
A Korean Knowledge Extraction System for Enriching a KBoxCode0
An Evaluation of Information Extraction Tools for Identifying Health Claims in News Headlines0
Utilizing Graph Measure to Deduce Omitted Entities in Paragraphs0
Making Efficient Use of a Domain Expert's Time in Relation Extraction0
Position-aware Self-attention with Relative Positional Encodings for Slot FillingCode0
Natural Language Processing for Information ExtractionCode0
NextGen AML: Distributed Deep Learning based Language Technologies to Augment Anti Money Laundering Investigation0
Discovering Implicit Knowledge with Unary RelationsCode0
Unsupervised Learning of Distributional Relation Vectors0
Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining0
A Framework for Developing and Evaluating Word Embeddings of Drug-named Entity0
Ranking-Based Automatic Seed Selection and Noise Reduction for Weakly Supervised Relation ExtractionCode0
A Sequence Learning Method for Domain-Specific Entity Linking0
Recognizing Complex Entity Mentions: A Review and Future Directions0
Biomedical Event Extraction Using Convolutional Neural Networks and Dependency Parsing0
Extracting Relational Facts by an End-to-End Neural Model with Copy MechanismCode0
SANTO: A Web-based Annotation Tool for Ontology-driven Slot Filling0
A hybrid deep learning approach for medical relation extractionCode0
Learning to Speed Up Structured Output Prediction0
Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational KnowledgeCode0
LightRel at SemEval-2018 Task 7: Lightweight and Fast Relation Classification0
ELiRF-UPV at SemEval-2018 Task 10: Capturing Discriminative Attributes with Knowledge Graphs and Wikipedia0
CRIM at SemEval-2018 Task 9: A Hybrid Approach to Hypernym DiscoveryCode0
Exploiting Partially Annotated Data in Temporal Relation Extraction0
ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings0
IRCMS at SemEval-2018 Task 7 : Evaluating a basic CNN Method and Traditional Pipeline Method for Relation Classification0
ITNLP-ARC at SemEval-2018 Task 12: Argument Reasoning Comprehension with Attention0
Bf3R at SemEval-2018 Task 7: Evaluating Two Relation Extraction Tools for Finding Semantic Relations in Biomedical Abstracts0
MIT-MEDG at SemEval-2018 Task 7: Semantic Relation Classification via Convolution Neural Network0
Multiplicative Tree-Structured Long Short-Term Memory Networks for Semantic Representations0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DREEAMF167.53Unverified
2KD-Rb-lF167.28Unverified
3SSAN-RoBERTa-large+AdaptationF165.92Unverified
4SAIS-RoBERTa-largeF165.11Unverified
5Eider-RoBERTa-largeF164.79Unverified
6DocuNet-RoBERTa-largeF164.55Unverified
7CGM2IR-RoBERTalargeF163.89Unverified
8SETE-Roberta-largeF163.74Unverified
9ATLOP-RoBERTa-largeF163.4Unverified
10DRE-MIR-BERTbaseF163.15Unverified
#ModelMetricClaimedVerifiedStatus
1RAG4REF186.6Unverified
2DeepStruct multi-task w/ finetuneF176.8Unverified
3UNiST (LARGE)F175.5Unverified
4RE-MCF175.4Unverified
5GenPT (T5)F175.3Unverified
6RECENT+SpanBERTF175.2Unverified
7SuRE (PEGASUS-large)F175.1Unverified
8EXOBRAINF175Unverified
9Relation ReductionF174.8Unverified
10RoBERTa-large-typed-markerF174.6Unverified
#ModelMetricClaimedVerifiedStatus
1SPF191.9Unverified
2RIFREF191.3Unverified
3REDNF191Unverified
4SPOTF190.6Unverified
5KLGF190.5Unverified
6RELAF190.4Unverified
7Skeleton-Aware BERTF190.36Unverified
8KnowPromptF190.3Unverified
9LUKEF190.3Unverified
10EPGNNF190.2Unverified
#ModelMetricClaimedVerifiedStatus
1Span-levelNER Micro F185.98Unverified
2Dual Pointer Network(multi-head)Relation classification F180.8Unverified
3Dual Pointer NetworkRelation classification F180.5Unverified
4PL-MarkerRE Micro F173Unverified
5ASP+T5-3BRE Micro F172.7Unverified
6GoLLIERE Micro F170.1Unverified
7Ours: cross-sentence ALBRE Micro F169.4Unverified
8MGERE+ Micro F168.2Unverified
9HySPA (ours) w/ RoBERTaRelation F168.2Unverified
10RNN+CNNRelation classification F167.7Unverified
#ModelMetricClaimedVerifiedStatus
1ReLiK-LargeRE+ Micro F178.1Unverified
2REBELRE+ Macro F1 76.65Unverified
3ASP+T0-3BRE+ Micro F176.3Unverified
4Table-SequenceRE+ Macro F1 75.4Unverified
5SpERTRE+ Macro F1 72.87Unverified
6DeeperRE+ Macro F1 72.63Unverified
7TANLRE+ Micro F172.6Unverified
8TablERTRE+ Micro F172.6Unverified
9TriMFRE+ Micro F172.35Unverified
10Multi-turn QARE+ Micro F168.9Unverified
#ModelMetricClaimedVerifiedStatus
1PFN (ALBERT XXL, average aggregation)RE+ Macro F183.9Unverified
2DeeperRE+ Macro F183.74Unverified
3PFN (ALBERT XXL, no aggregation)RE+ Macro F183.2Unverified
4SpERT.PL (without overlap and BioBERT)RE+ Macro F182.39Unverified
5REBEL (including overlapping entities)RE+ Macro F182.2Unverified
6SpERT.PL (with overlap and BioBERT)RE+ Macro F182.03Unverified
7CMANRE+ Macro F181.14Unverified
8Table-SequenceRE+ Macro F180.1Unverified
9CLDR + CLNERRE+ Macro F179.97Unverified
10SpERT (without overlap)RE+ Macro F179.24Unverified
#ModelMetricClaimedVerifiedStatus
1UniRelF194.7Unverified
2PFNF193.6Unverified
3SPNF193.4Unverified
4TDEERF193.1Unverified
5RIFREF192.6Unverified
6TPLinkerF191.9Unverified
7HBT (CasRel)F191.8Unverified
8RIN (BERT, K=2)F190.1Unverified
9CGT(UniLM)F183.4Unverified