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 1651–1700 of 1977 papers

TitleStatusHype
Complex Relation Extraction: Challenges and Opportunities—0
Compounds and distributional thesauri—0
Comprehensive Event Representations using Event Knowledge Graphs and Natural Language Processing—0
Confidence estimation of classification based on the distribution of the neural network output layer—0
Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction—0
A Global-Local Attention Mechanism for Relation Classification—0
Unsupervised Parsing for Generating Surface-Based Relation Extraction Patterns—0
CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse—0
Conservative Bias in Large Language Models: Measuring Relation Predictions—0
A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events—0
Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels—0
ConstGCN: Constrained Transmission-based Graph Convolutional Networks for Document-level Relation Extraction—0
Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database—0
Constructing a Lexicon of Relational Nouns—0
Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction—0
Constructing large scale biomedical knowledge bases from scratch with rapid annotation of interpretable patterns—0
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction—0
Context-Dependent Semantic Parsing for Temporal Relation Extraction—0
Combining Neural Networks and Log-linear Models to Improve Relation Extraction—0
Contextual Argument Component Classification for Class Discussions—0
Unsupervised Pre-training With Seq2Seq Reconstruction Loss for Deep Relation Extraction Models—0
Contextualization and Generalization in Entity and Relation Extraction—0
Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding—0
Continual Contrastive Finetuning Improves Low-Resource Relation Extraction—0
Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction—0
Contrastive Triple Extraction with Generative Transformer—0
Contrast with Major Classifier Vectors for Federated Medical Relation Extraction with Heterogeneous Label Distribution—0
Controlled Randomness Improves the Performance of Transformer Models—0
Robust Domain Adaptation for Relation Extraction via Clustering Consistency—0
Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings—0
Cooperative Denoising for Distantly Supervised Relation Extraction—0
Combining Language and Graph Models for Semi-structured Information Extraction on the Web—0
Robust Logistic Regression using Shift Parameters—0
CORE: Context-Aware Open Relation Extraction with Factorization Machines—0
CorefDRE: Document-level Relation Extraction with coreference resolution—0
Coreference Resolution to Support IE from Indian Classical Music Forums—0
Combining Generative and Discriminative Model Scores for Distant Supervision—0
Correction of OCR Word Segmentation Errors in Articles from the ACL Collection through Neural Machine Translation Methods—0
CORSD: Class-Oriented Relational Self Distillation—0
Combining Distant and Partial Supervision for Relation Extraction—0
Counterfactual Thinking for Long-tailed Information Extraction—0
Robustly Pre-trained Neural Model for Direct Temporal Relation Extraction—0
CovRelex: A COVID-19 Retrieval System with Relation Extraction—0
CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction—0
CQARE: Contrastive Question-Answering for Few-shot Relation Extraction with Prompt Tuning—0
Unsupervised Relation Discovery with Sense Disambiguation—0
Creating a Fine Grained Entity Type Taxonomy Using LLMs—0
Creating a Gold Standard Corpus for the Extraction of Chemistry-Disease Relations from Patent Texts—0
Creation of an Annotated Corpus of Spanish Radiology Reports—0
CREER: A Large-Scale Corpus for Relation Extraction and 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
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