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 1401–1450 of 1977 papers

TitleStatusHype
Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning—0
Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path—0
Neural Relation Extraction with Multi-lingual Attention—0
A Comprehensive Survey of Document-level Relation Extraction (2016-2023)—0
Neural Relation Prediction for Simple Question Answering over Knowledge Graph—0
Zero-shot Temporal Relation Extraction with ChatGPT—0
A Compositional Interpretation of Biomedical Event Factuality—0
Neural Temporal Relation Extraction—0
NEUROSENT-PDI at SemEval-2018 Task 7: Discovering Textual Relations With a Neural Network Model—0
NextGen AML: Distributed Deep Learning based Language Technologies to Augment Anti Money Laundering Investigation—0
NIL\_UCM: Extracting Drug-Drug interactions from text through combination of sequence and tree kernels—0
NL2KB: Resolving Vocabulary Gap between Natural Language and Knowledge Base in Knowledge Base Construction and Retrieval—0
NLP as a Lens for Causal Analysis and Perception Mining to Infer Mental Health on Social Media—0
NLP for Precision Medicine—0
Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction—0
Noise-Clustered Distant Supervision for Relation Extraction: A Nonparametric Bayesian Perspective—0
Noise Mitigation for Neural Entity Typing and Relation Extraction—0
Noise Reduction Methods for Distantly Supervised Biomedical Relation Extraction—0
Noisy Or-based model for Relation Extraction using Distant Supervision—0
An Improved Neural Baseline for Temporal Relation Extraction—0
Transductive Non-linear Learning for Chinese Hypernym Prediction—0
A Comparison of Weak Supervision methods for Knowledge Base Construction—0
Not Just Plain Text! Fuel Document-Level Relation Extraction with Explicit Syntax Refinement and Subsentence Modeling—0
NTNU-1@ScienceIE at SemEval-2017 Task 10: Identifying and Labelling Keyphrases with Conditional Random Fields—0
NTNU-2 at SemEval-2017 Task 10: Identifying Synonym and Hyponym Relations among Keyphrases in Scientific Documents—0
NTNU at SemEval-2018 Task 7: Classifier Ensembling for Semantic Relation Identification and Classification in Scientific Papers—0
Numerical Atrribute Extraction from Clinical Texts—0
OhioState at SemEval-2018 Task 7: Exploiting Data Augmentation for Relation Classification in Scientific Papers using Piecewise Convolutional Neural Networks—0
An extended dependency graph for relation extraction in biomedical texts—0
Omni-word Feature and Soft Constraint for Chinese Relation Extraction—0
Transfer Learning for Relation Extraction via Relation-Gated Adversarial Learning—0
OneRel:Joint Entity and Relation Extraction with One Module in One Step—0
Online Inference for Relation Extraction with a Reduced Feature Set—0
Only One Relation Possible? Modeling the Ambiguity in Event Temporal Relation Extraction—0
On the effectiveness of small, discriminatively pre-trained language representation models for biomedical text mining—0
On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning—0
A Comparison of the Events and Relations Across ACE, ERE, TAC-KBP, and FrameNet Annotation Standards—0
Transforming Wikipedia into a Large-Scale Fine-Grained Entity Type Corpus—0
Ontology-enhanced Prompt-tuning for Few-shot Learning—0
Ontology Enrichment by Extracting Hidden Assertional Knowledge from Text—0
Ontology-Style Relation Annotation: A Case Study—0
OpenCeres: When Open Information Extraction Meets the Semi-Structured Web—0
An Exploration of Prompt-Based Zero-Shot Relation Extraction Method—0
Open Information Extraction: A Review of Baseline Techniques, Approaches, and Applications—0
Open Information Extraction for SOV Language Based on Entity-Predicate Pair Detection—0
Open Information Extraction for Spanish Language based on Syntactic Constraints—0
Open Information Extraction on Scientific Text: An Evaluation—0
Open Information Extraction with Tree Kernels—0
An Exploration of Prompt-Based Zero-Shot Relation Extraction Method—0
An Evaluation of the Effect of Automatic Preprocessing on Syntactic Parsing for Biomedical Relation Extraction—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