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 1101–1150 of 1977 papers

TitleStatusHype
ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages—0
PERLEX: A Bilingual Persian-English Gold Dataset for Relation Extraction—0
Reasoning with Latent Structure Refinement for Document-Level Relation ExtractionCode1
Adversarial Learning for Supervised and Semi-supervised Relation Extraction in Biomedical Literature—0
An Empirical Study of Multi-Task Learning on BERT for Biomedical Text MiningCode1
ExpBERT: Representation Engineering with Natural Language ExplanationsCode1
FarsBase-KBP: A Knowledge Base Population System for the Persian Knowledge Graph—0
pyBART: Evidence-based Syntactic Transformations for IECode1
Ontology-Style Relation Annotation: A Case Study—0
Reproducing Neural Ensemble Classifier for Semantic Relation Extraction inScientific Papers—0
Domain Adapted Distant Supervision for Pedagogically Motivated Relation Extraction—0
WEXEA: Wikipedia EXhaustive Entity Annotation—0
Building a Multimodal Entity Linking Dataset From Tweets—0
A French Corpus and Annotation Schema for Named Entity Recognition and Relation Extraction of Financial News—0
WikiPossessions: Possession Timeline Generation as an Evaluation Benchmark for Machine Reading Comprehension of Long Texts—0
Effective Crowdsourcing of Multiple Tasks for Comprehensive Knowledge Extraction—0
Brand-Product Relation Extraction Using Heterogeneous Vector Space Representations—0
Recurrent Interaction Network for Jointly Extracting Entities andClassifying Relations—0
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations—0
An Empirical Study of Pre-trained Transformers for Arabic Information ExtractionCode1
TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction TaskCode1
Revisiting Unsupervised Relation ExtractionCode1
Distantly-Supervised Neural Relation Extraction with Side Information using BERTCode0
Exploring the Suitability of Semantic Spaces as Word Association Models for the Extraction of Semantic Relationships—0
A Practical Framework for Relation Extraction with Noisy Labels Based on Doubly Transitional Loss—0
Contextualised Graph Attention for Improved Relation ExtractionCode0
Learning Relation Ties with a Force-Directed Graph in Distant Supervised Relation Extraction—0
Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents—0
Dialogue-Based Relation ExtractionCode1
Probing Linguistic Features of Sentence-Level Representations in Neural Relation ExtractionCode1
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation—0
Coreferential Reasoning Learning for Language RepresentationCode1
Robustly Pre-trained Neural Model for Direct Temporal Relation Extraction—0
Improving Scholarly Knowledge Representation: Evaluating BERT-based Models for Scientific Relation Classification—0
Downstream Model Design of Pre-trained Language Model for Relation Extraction TaskCode1
A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events—0
A Corpus Study and Annotation Schema for Named Entity Recognition and Relation Extraction of Business Products—0
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction—0
Efficient long-distance relation extraction with DG-SpanBERT—0
DARE: Data Augmented Relation Extraction with GPT-2—0
SelfORE: Self-supervised Relational Feature Learning for Open Relation ExtractionCode1
Named Entities in Medical Case Reports: Corpus and Experiments—0
HIN: Hierarchical Inference Network for Document-Level Relation Extraction—0
Common-Knowledge Concept Recognition for SEVACode0
Cross-Lingual Adaptation Using Universal Dependencies—0
Stanza: A Python Natural Language Processing Toolkit for Many Human LanguagesCode1
Hybrid Attention-Based Transformer Block Model for Distant Supervision Relation Extraction—0
Distributional semantic modeling: a revised technique to train term/word vector space models applying the ontology-related approach—0
Unique Chinese Linguistic Phenomena—0
Neural Relation Prediction for Simple Question Answering over Knowledge Graph—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