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 951–1000 of 1977 papers

TitleStatusHype
HeidelToul: A Baseline Approach for Cross-document Event Ordering—0
Held-out versus Gold Standard: Comparison of Evaluation Strategies for Distantly Supervised Relation Extraction from Medline abstracts—0
Supersense tagging for Danish—0
Supervised classification of end-of-lines in clinical text with no manual annotation—0
HFST-SweNER --- A New NER Resource for Swedish—0
BERE: An accurate distantly supervised biomedical entity relation extraction network—0
Benchmarking BioRelEx for Entity Tagging and Relation Extraction—0
Chinese User Service Intention Classification Based on Hybrid Neural Network—0
Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision—0
Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision—0
Vietnamese Relation Extraction with BERT-based Models at VLSP 2020—0
HiEve: A Corpus for Extracting Event Hierarchies from News Stories—0
HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion—0
HighIE: High-Order Inference for Entity Recognition, Relation Extraction, and Event Extraction—0
High Quality Dependency Selection from Automatic Parses—0
High Recall Open IE for Relation Discovery—0
High-throughput Biomedical Relation Extraction for Semi-Structured Web Articles Empowered by Large Language Models—0
High-throughput relation extraction algorithm development associating knowledge articles and electronic health records—0
HIN: Hierarchical Inference Network for Document-Level Relation Extraction—0
HIORE: Leveraging High-order Interactions for Unified Entity Relation Extraction—0
Support Vector Machine Active Learning Algorithms with Query-by-Committee versus Closest-to-Hyperplane Selection—0
HITSZ-HLT at SemEval-2022 Task 10: A Span-Relation Extraction Framework for Structured Sentiment Analysis—0
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction—0
Benchmarking Biomedical Nested NER and Relation Extraction Models—0
HIVE-4-MAT: Advancing the Ontology Infrastructure for Materials Science—0
HLT-FBK: a Complete Temporal Processing System for QA TempEval—0
Holistic Evaluation of Automatic TimeML Annotators—0
SUTime: A library for recognizing and normalizing time expressions—0
How Important is Domain Specificity in Language Models and Instruction Finetuning for Biomedical Relation Extraction?—0
Synchronous Dual Network with Cross-Type Attention for Joint Entity and Relation Extraction—0
Visually Guided Spatial Relation Extraction from Text—0
SynsetRank: Degree-adjusted Random Walk for Relation Identification—0
How’s Business Going Worldwide ? A Multilingual Annotated Corpus for Business Relation Extraction—0
Syntax-aware Multi-task Graph Convolutional Networks for Biomedical Relation Extraction—0
How Well can We Learn Interpretable Entity Types from Text?—0
Syntax-based Transfer Learning for the Task of Biomedical Relation Extraction—0
Hybrid Attention-Based Transformer Block Model for Distant Supervision Relation Extraction—0
BED: Bi-Encoder-Decoder Model for Canonical Relation Extraction—0
SystemT: Declarative Text Understanding for Enterprise—0
Bacteria Biotope Relation Extraction via Lexical Chains and Dependency Graphs—0
VizExtract: Automatic Relation Extraction from Data Visualizations—0
Identification des probl\`emes d'annotation pour l'extraction de relations (Identification of annotation problem for the relation extraction)—0
Identification of Mentions and Relations between Bacteria and Biotope from PubMed Abstracts—0
TableIE: Capture the Interactions among Joint Information Extraction Explicitly via Double Tables—0
Identifying Argumentation Schemes in Genetics Research Articles—0
Identifying High-Level Organizational Elements in Argumentative Discourse—0
Idest: Learning a Distributed Representation for Event Patterns—0
iMETRE: Incorporating Markers of Entity Types for Relation Extraction—0
Impact of Less Skewed Distributions on Efficiency and Effectiveness of Biomedical Relation Extraction—0
ImPaKT: A Dataset for Open-Schema Knowledge Base Construction—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