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 1151–1200 of 1977 papers

TitleStatusHype
KnowFi: Knowledge Extraction from Long Fictional Texts—0
What do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification—0
The Dots Have Their Values: Exploiting the Node-Edge Connections in Graph-based Neural Models for Document-level Relation Extraction—0
Knowledge-Based Biomedical Word Sense Disambiguation with Neural Concept Embeddings—0
The Effects of Hallucinations in Synthetic Training Data for Relation Extraction—0
The Event StoryLine Corpus: A New Benchmark for Causal and Temporal Relation Extraction—0
The Financial Document Causality Detection Shared Task (FinCausal 2020)—0
Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction—0
The Gun Violence Database: A new task and data set for NLP—0
Knowledge-Enhanced Relation Extraction Dataset—0
Knowledge-guided Convolutional Networks for Chemical-Disease Relation Extraction—0
The Impact of Semantic Linguistic Features in Relation Extraction: A Logical Relational Learning Approach—0
Knowledge Representation and Extraction at Scale—0
Attending to All Mention Pairs for Full Abstract Biological Relation Extraction—0
KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities—0
A Trigger-Aware Multi-Task Learning for Chinese Event Entity Recognition—0
KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports—0
A three-way perspective on scientific discourse annotation for knowledge extraction—0
The impact of simple feature engineering in multilingual medical NER—0
A system for fine-grained aspect-based sentiment analysis of Chinese—0
LABDA at SemEval-2017 Task 10: Relation Classification between keyphrases via Convolutional Neural Network—0
The Joint Entity-Relation Extraction Model Based on Span and Interactive Fusion Representation for Chinese Medical Texts with Complex Semantics—0
Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding—0
Label Verbalization and Entailment for Effective Zero- and Few-Shot Relation Extraction—0
Label Verbalization and Entailment for Effective Zero and Few-Shot Relation Extraction—0
Language Resources and Annotation Tools for Cross-Sentence Relation Extraction—0
Large Language Models are Few-Shot Clinical Information Extractors—0
Prompting Large Language Models for Counterfactual Generation: An Empirical Study—0
Large Language Models for Biomedical Knowledge Graph Construction: Information extraction from EMR notes—0
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective—0
Large language models in healthcare and medical domain: A review—0
Large-Scale Acquisition of Entailment Pattern Pairs by Exploiting Transitivity—0
Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network—0
A Survey on Extraction of Causal Relations from Natural Language Text—0
Actively Supervised Clustering for Open Relation Extraction—0
A survey on cutting-edge relation extraction techniques based on language models—0
The performance evaluation of Multi-representation in the Deep Learning models for Relation Extraction Task—0
The Unreasonable Effectiveness of Word Representations for Twitter Named Entity Recognition—0
LayoutXLM vs. GNN: An Empirical Evaluation of Relation Extraction for Documents—0
LeafAI: query generator for clinical cohort discovery rivaling a human programmer—0
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation—0
The UWNLP system at SemEval-2018 Task 7: Neural Relation Extraction Model with Selectively Incorporated Concept Embeddings—0
Learning Better Sentence Representation with Syntax Information—0
Learning Contextual Embeddings for Structural Semantic Similarity using Categorical Information—0
Learning Dependency Structures for Weak Supervision Models—0
The Web as an Implicit Training Set: Application to Noun Compounds Syntax and Semantics—0
Active Learning for Interactive Relation Extraction in a French Newspaper’s Articles—0
Learning Efficient Information Extraction on Heterogeneous Texts—0
Learning Fine-grained Relations from Chinese User Generated Categories—0
A Survey of Distant Supervision Methods using PGMs—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