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 351–400 of 1977 papers

TitleStatusHype
An Empirical Study of Causal Relation Extraction Transfer: Design and Data—0
Pareto Optimal Learning for Estimating Large Language Model Errors—0
A Bidirectional Tree Tagging Scheme for Joint Medical Relation Extraction—0
Event-Arguments Extraction Corpus and Modeling using BERT for Arabic—0
Automatic Animacy Classification—0
Automatically Labeled Data Generation for Large Scale Event Extraction—0
An Efficient Active Learning Framework for New Relation Types—0
Automatically Generating Counterfactuals for Relation Classification—0
A Concrete Chinese NLP Pipeline—0
10,000+ Times Accelerated Robust Subset Selection (ARSS)—0
Data-driven Paraphrasing and Stylistic Harmonization—0
Automated Graph Generation at Sentence Level for Reading Comprehension Based on Conceptual Graphs—0
An Auxiliary Classifier Generative Adversarial Framework for Relation Extraction—0
Adversarial Learning for Supervised and Semi-supervised Relation Extraction in Biomedical Literature—0
A Unified Representation Learning Strategy for Open Relation Extraction with Ranked List Loss—0
A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers—0
A Unified Generative Framework based on Prompt Learning for Various Information Extraction Tasks—0
An Automated Domain Understanding Technique for Knowledge Graph Generation—0
Augmenting Task-Oriented Dialogue Systems with Relation Extraction—0
Augmenting Document-level Relation Extraction with Efficient Multi-Supervision—0
Advancing Relation Extraction through Language Probing with Exemplars from Set Co-Expansion—0
DARE: Data Augmented Relation Extraction with GPT-2—0
Dataset for N-ary Relation Extraction of Drug Combinations—0
90% F1 Score in Relational Triple Extraction: Is it Real ?—0
A Two-Phase Paradigm for Joint Entity-Relation Extraction—0
Anaphora Resolution for Improving Spatial Relation Extraction from Text—0
An Annotated Corpus of Webtables for Information Extraction Tasks—0
A TV Program Discovery Dialog System using recommendations—0
Advancing Chinese biomedical text mining with community challenges—0
Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas—0
Attribute Relation Extraction from Template-inconsistent Semi-structured Text by Leveraging Site-level Knowledge—0
An analysis of full-size Russian complexly NER labelled corpus of Internet user reviews on the drugs based on deep learning and language neural nets—0
A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction—0
Attention Neural Model for Temporal Relation Extraction—0
A Comprehensive Survey of Document-level Relation Extraction (2016-2023)—0
Cross-Sentence N-ary Relation Extraction with Graph LSTMs—0
Attention-Gated Graph Convolutions for Extracting Drug Interaction Information from Drug Labels—0
An Algebra for Feature Extraction—0
A Compositional Interpretation of Biomedical Event Factuality—0
Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction—0
A Multi-Task Learning Framework for Extracting Bacteria Biotope Information—0
Cross-lingual Structure Transfer for Relation and Event Extraction—0
Attending to All Mention Pairs for Full Abstract Biological Relation Extraction—0
A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels—0
A Trigger-Aware Multi-Task Learning for Chinese Event Entity Recognition—0
A three-way perspective on scientific discourse annotation for knowledge extraction—0
A Multi-Gate Encoder for Joint Entity and Relation Extraction—0
Cross-lingual Transfer for Unsupervised Dependency Parsing Without Parallel Data—0
Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networks—0
A system for fine-grained aspect-based sentiment analysis of Chinese—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