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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1501–1550 of 1977 papers

TitleStatusHype
Less is More: Rethinking State-of-the-art Continual Relation Extraction Models with a Frustratingly Easy but Effective Approach—0
Leveraging Knowledge Graph Embeddings to Enhance Contextual Representations for Relation Extraction—0
Leveraging Linguistic Structure For Open Domain Information Extraction—0
Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition—0
Leveraging Semantic Web Search and Browse Sessions for Multi-Turn Spoken Dialog Systems—0
Leveraging Unlabeled Data for Entity-Relation Extraction through Probabilistic Constraint Satisfaction—0
LightRel at SemEval-2018 Task 7: Lightweight and Fast Relation Classification—0
LightRel SemEval-2018 Task 7: Lightweight and Fast Relation Classification—0
Limited memory incremental coreference resolution—0
LIMSI-COT at SemEval-2016 Task 12: Temporal relation identification using a pipeline of classifiers—0
LIMSI-COT at SemEval-2017 Task 12: Neural Architecture for Temporal Information Extraction from Clinical Narratives—0
Linguistic representations for fewer-shot relation extraction across domains—0
Listen to Both Sides and be Enlightened! -- Hierarchical Modality Fusion Network for Entity and Relation Extraction—0
LitWay, Discriminative Extraction for Different Bio-Events—0
LLM-IE: A Python Package for Generative Information Extraction with Large Language Models—0
General LLMs as Instructors for Domain-Specific LLMs: A Sequential Fusion Method to Integrate Extraction and Editing—0
LLMs-in-the-Loop Part 2: Expert Small AI Models for Anonymization and De-identification of PHI Across Multiple Languages—0
Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction—0
Logic Pre-Training of Language Models—0
LOME: Large Ontology Multilingual Extraction—0
Long-Distance Time-Event Relation Extraction—0
Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks—0
Low Resource Dependency Parsing: Cross-lingual Parameter Sharing in a Neural Network Parser—0
Making Efficient Use of a Domain Expert's Time in Relation Extraction—0
Making the most of limited training data using distant supervision—0
Malaysian English News Decoded: A Linguistic Resource for Named Entity and Relation Extraction—0
Mapping Verbs in Different Languages to Knowledge Base Relations using Web Text as Interlingua—0
MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction—0
MAQInstruct: Instruction-based Unified Event Relation Extraction—0
MatSciRE: Leveraging Pointer Networks to Automate Entity and Relation Extraction for Material Science Knowledge-base Construction—0
M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains—0
MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text—0
Measuring Prerequisite Relations Among Concepts—0
MedDistant19: A Challenging Benchmark for Distantly Supervised Biomedical Relation Extraction—0
Medical Relation Extraction with Manifold Models—0
Memorization vs. Generalization : Quantifying Data Leakage in NLP Performance Evaluation—0
Mention-centered Graph Neural Network for Document-level Relation Extraction—0
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors—0
Meta Learning and Its Applications to Natural Language Processing—0
Meta-Learning Improves Lifelong Relation Extraction—0
Meta-Learning with Sparse Experience Replay for Lifelong Language Learning—0
面向对话文本的实体关系抽取(Entity Relation Extraction for Dialogue Text)—0
面向法律文本的实体关系联合抽取算法(Joint Entity and Relation Extraction for Legal Texts)—0
Mining Adverse Drug Reactions from Unstructured Mediums at Scale—0
Mining Biomedical Publications With The LAPPS Grid—0
Mining User Relations from Online Discussions using Sentiment Analysis and Probabilistic Matrix Factorization—0
MIsA: Multilingual ``IsA'' Extraction from Corpora—0
MIT at SemEval-2017 Task 10: Relation Extraction with Convolutional Neural Networks—0
MIT-MEDG at SemEval-2018 Task 7: Semantic Relation Classification via Convolution Neural Network—0
MLRIP: Pre-training a military language representation model with informative factual knowledge and professional knowledge base—0
Show:102550
← PrevPage 31 of 40Next →
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