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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1251–1300 of 1977 papers

TitleStatusHype
Unsupervised Induction of Cross-Lingual Semantic Relations—0
Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses—0
Unsupervised Learning of Distributional Relation Vectors—0
Unsupervised Parsing for Generating Surface-Based Relation Extraction Patterns—0
Unsupervised Pre-training With Seq2Seq Reconstruction Loss for Deep Relation Extraction Models—0
Unsupervised Relation Discovery with Sense Disambiguation—0
Unsupervised Relation Extraction: A Variational Autoencoder Approach—0
Unsupervised Relation Extraction from Language Models using Constrained Cloze Completion—0
Unsupervised Relation Extraction from Language Models using Constrained Cloze Completion—0
Unsupervised Relation Extraction of In-Domain Data from Focused Crawls—0
Unsupervised Relation Extraction with General Domain Knowledge—0
UNTER: A Unified Knowledge Interface for Enhancing Pre-trained Language Models—0
UPB at SemEval-2021 Task 8: Extracting Semantic Information on Measurements as Multi-Turn Question Answering—0
Using Entity Information from a Knowledge Base to Improve Relation Extraction—0
Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning—0
Using Graphs of Classifiers to Impose Constraints on Semi-supervised Relation Extraction—0
Using Large Biomedical Databases as Gold Annotations for Automatic Relation Extraction—0
Using Neural Networks for Relation Extraction from Biomedical Literature—0
Using Positional Suffix Trees to Perform Agile Tree Kernel Calculation—0
Using Shallow Semantic Parsing and Relation Extraction for Finding Contradiction in Text—0
UTD: Ensemble-Based Spatial Relation Extraction—0
Utilizing Graph Measure to Deduce Omitted Entities in Paragraphs—0
UTurku: Drug Named Entity Recognition and Drug-Drug Interaction Extraction Using SVM Classification and Domain Knowledge—0
UWB at SemEval-2018 Task 10: Capturing Discriminative Attributes from Word Distributions—0
Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction—0
VERSE: Event and Relation Extraction in the BioNLP 2016 Shared Task—0
Vicomtech at eHealth-KD Challenge 2020: Deep End-to-End Model for Entity and Relation Extraction in Medical Text—0
Vietnamese Relation Extraction with BERT-based Models at VLSP 2020—0
Visually Guided Spatial Relation Extraction from Text—0
VizExtract: Automatic Relation Extraction from Data Visualizations—0
VulCPE: Context-Aware Cybersecurity Vulnerability Retrieval and Management—0
Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning—0
WEXEA: Wikipedia EXhaustive Entity Annotation—0
What do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification—0
What or Who is Multilingual Watson?—0
When ACE met KBP: End-to-End Evaluation of Knowledge Base Population with Component-level Annotation—0
When Are Tree Structures Necessary for Deep Learning of Representations?—0
WHERE and WHICH: Iterative Debate for Biomedical Synthetic Data Augmentation—0
WikiPossessions: Possession Timeline Generation as an Evaluation Benchmark for Machine Reading Comprehension of Long Texts—0
Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining—0
Word Clustering Based on Un-LP Algorithm—0
Word Embeddings as Features for Supervised Coreference Resolution—0
Word Relation Autoencoder for Unseen Hypernym Extraction Using Word Embeddings—0
x.ent: R Package for Entities and Relations Extraction based on Unsupervised Learning and Document Structure—0
YNU-junyi in BioNLP-OST 2019: Using CNN-LSTM Model with Embeddings for SeeDev Binary Event Extraction—0
ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages—0
Zero-Shot Document-Level Biomedical Relation Extraction via Scenario-based Prompt Design in Two-Stage with LLM—0
Zero-shot Event Causality Identification with Question Answering—0
Zero-shot information extraction from radiological reports using ChatGPT—0
Zero-shot Relation Classification as Textual Entailment—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