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 1901–1950 of 1977 papers

TitleStatusHype
TEES 2.1: Automated Annotation Scheme Learning in the BioNLP 2013 Shared Task—0
Parsing with Compositional Vector Grammars—0
Extracting Gene Regulation Networks Using Linear-Chain Conditional Random Fields and Rules—0
Extracting Definitions and Hypernym Relations relying on Syntactic Dependencies and Support Vector Machines—0
Answer Extraction by Recursive Parse Tree Descent—0
Discovering Temporal Narrative Containers in Clinical Text—0
Bacteria Biotope Detection, Ontology-based Normalization, and Relation Extraction using Syntactic Rules—0
Detecting Relations in the Gene Regulation Network—0
Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction—0
Graph-Based Seed Set Expansion for Relation Extraction Using Random Walk Hitting Times—0
SemEval-2013 Task 1: TempEval-3: Evaluating Time Expressions, Events, and Temporal Relations—0
Semantic relation clustering for unsupervised information extraction (Regroupement s\'emantique de relations pour l'extraction d'information non supervis\'ee) [in French]—0
FBK-irst : A Multi-Phase Kernel Based Approach for Drug-Drug Interaction Detection and Classification that Exploits Linguistic Information—0
SCAI: Extracting drug-drug interactions using a rich feature vector—0
KELVIN: a tool for automated knowledge base construction—0
Exploiting the Scope of Negations and Heterogeneous Features for Relation Extraction: A Case Study for Drug-Drug Interaction Extraction—0
Relation Extraction with Matrix Factorization and Universal Schemas—0
UEM-UC3M: An Ontology-based named entity recognition system for biomedical texts.—0
Mining User Relations from Online Discussions using Sentiment Analysis and Probabilistic Matrix Factorization—0
UTurku: Drug Named Entity Recognition and Drug-Drug Interaction Extraction Using SVM Classification and Domain Knowledge—0
Distant Supervision for Relation Extraction with an Incomplete Knowledge Base—0
NIL\_UCM: Extracting Drug-Drug interactions from text through combination of sequence and tree kernels—0
Open Information Extraction with Tree Kernels—0
Towards Converting Clinical Phrases into SNOMED CT Expressions—0
Modeling Missing Data in Distant Supervision for Information Extraction—0
Combined Distributional and Logical Semantics—0
Semantic Relation Extraction from a Cultural Database—0
Open Information Extraction for SOV Language Based on Entity-Predicate Pair Detection—0
Impact of Less Skewed Distributions on Efficiency and Effectiveness of Biomedical Relation Extraction—0
Unsupervised Discovery of Relations and Discriminative Extraction Patterns—0
Parenthetical Classification for Information Extraction—0
Relational Structures and Models for Coreference Resolution—0
Entity Set Expansion using Interactive Topic Information—0
Extracting and Visualizing Semantic Relationships from Chinese Biomedical Text—0
Big Data versus the Crowd: Looking for Relationships in All the Right Places—0
Monte Carlo MCMC: Efficient Inference by Approximate Sampling—0
A Comparison of Chinese Parsers for Stanford Dependencies—0
Reading The Web with Learned Syntactic-Semantic Inference Rules—0
UMichigan: A Conditional Random Field Model for Resolving the Scope of Negation—0
Ensemble Semantics for Large-scale Unsupervised Relation Extraction—0
A Graph-based Cross-lingual Projection Approach for Weakly Supervised Relation Extraction—0
Reducing Wrong Labels in Distant Supervision for Relation Extraction—0
Domain Adaptation of a Dependency Parser with a Class-Class Selectional Preference Model—0
Multi-instance Multi-label Learning for Relation Extraction—0
Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach—0
Learning High-Level Planning from Text—0
Improving NLP through Marginalization of Hidden Syntactic Structure—0
Temporally Anchored Relation Extraction—0
Pattern Learning for Relation Extraction with a Hierarchical Topic Model—0
Unsupervised Relation Discovery with Sense Disambiguation—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