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 1601–1650 of 1977 papers

TitleStatusHype
A Knowledge-Intensive Model for Prepositional Phrase Attachment—0
A Bidirectional Tree Tagging Scheme for Joint Medical Relation Extraction—0
Relation Extraction with Word Graphs from N-grams—0
RelationFactory: A Fast, Modular and Effective System for Knowledge Base Population—0
A Java Framework for Multilingual Definition and Hypernym Extraction—0
AI-assisted Knowledge Discovery in Biomedical Literature to Support Decision-making in Precision Oncology—0
Comparison of biomedical relationship extraction methods and models for knowledge graph creation—0
A Hybrid Model of Classification and Generation for Spatial Relation Extraction—0
RelExt: Relation Extraction using Deep Learning approaches for Cybersecurity Knowledge Graph Improvement—0
A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction—0
UNIXLONG at SemEval-2020 Task 6: A Joint Model for Definition Extraction—0
Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting—0
Unsupervised Common Sense Relation Extraction—0
A hybrid deep-learning approach for complex biochemical named entity recognition—0
Representation Learning for Weakly Supervised Relation Extraction—0
Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks—0
SPOT: Knowledge-Enhanced Language Representations for Information Extraction—0
Reproducing Neural Ensemble Classifier for Semantic Relation Extraction inScientific Papers—0
Unsupervised Dependency Parsing with Transferring Distribution via Parallel Guidance and Entropy Regularization—0
Research on Entity Relation Extraction for Military Field—0
Unsupervised Discovery of Relations and Discriminative Extraction Patterns—0
Unsupervised Induction of Cross-Lingual Semantic Relations—0
Resolving Entity Coreference in Croatian with a Constrained Mention-Pair Model—0
A Human-machine Interface for Few-shot Rule Synthesis for Information Extraction—0
Rethinking Document-Level Relation Extraction: A Reality Check—0
Rethinking Relation Extraction: Beyond Shortcuts to Generalization with a Debiased Benchmark—0
Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses—0
A hierarchical taxonomy for classifying hardness of inference tasks—0
Retrieval of Scientific and Technological Resources for Experts and Scholars—0
Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution—0
Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction—0
Revised JNLPBA Corpus: A Revised Version of Biomedical NER Corpus for Relation Extraction Task—0
Revisiting Distant Supervision for Relation Extraction—0
Ahead of the Text: Leveraging Entity Preposition for Financial Relation Extraction—0
Unsupervised Learning of Distributional Relation Vectors—0
Rethinking Relation Classification with Graph Meaning Representations—0
Revisiting Large Language Models as Zero-shot Relation Extractors—0
A Graph-Based Method for Unsupervised Knowledge Discovery from Financial Texts—0
Zero-shot information extraction from radiological reports using ChatGPT—0
Combining Temporal Information and Topic Modeling for Cross-Document Event Ordering—0
Combining Tree Structures, Flat Features and Patterns for Biomedical Relation Extraction—0
Revisiting Relation Extraction in the era of Large Language Models—0
COMM:Concentrated Margin Maximization for Robust Document-Level Relation Extraction—0
A Graph-based Cross-lingual Projection Approach for Weakly Supervised Relation Extraction—0
Comparable Study of Event Extraction in Newswire and Biomedical Domains—0
A Gold Standard for Relation Extraction in the Food Domain—0
Comparative Analysis of Contextual Relation Extraction based on Deep Learning Models—0
Comparing Encoder-Only and Encoder-Decoder Transformers for Relation Extraction from Biomedical Texts: An Empirical Study on Ten Benchmark Datasets—0
ReVoLT: Relational Reasoning and Voronoi Local Graph Planning for Target-driven Navigation—0
Compensating for Annotation Errors in Training a Relation Extractor—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