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 1201–1250 of 1977 papers

TitleStatusHype
The Unreasonable Effectiveness of Word Representations for Twitter Named Entity Recognition—0
The UWNLP system at SemEval-2018 Task 7: Neural Relation Extraction Model with Selectively Incorporated Concept Embeddings—0
The Web as an Implicit Training Set: Application to Noun Compounds Syntax and Semantics—0
TIMERS: Document-level Temporal Relation Extraction—0
TLAG: An Informative Trigger and Label-Aware Knowledge Guided Model for Dialogue-based Relation Extraction—0
ToHRE: A Top-Down Classification Strategy with Hierarchical Bag Representation for Distantly Supervised Relation Extraction—0
Toward a Discourse Theory for Annotating Causal Relations in Japanese—0
Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction—0
Towards a Structured Representation of Generic Concepts and Relations in Large Text Corpora—0
Towards automating Numerical Consistency Checks in Financial Reports—0
Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models—0
Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features—0
Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction—0
Towards Confidence Estimation for Typed Protein-Protein Relation Extraction—0
Towards Converting Clinical Phrases into SNOMED CT Expressions—0
Towards Effective Multi-Task Interaction for Entity-Relation Extraction: A Unified Framework with Selection Recurrent Network—0
Towards Extracting Medical Family History from Natural Language Interactions: A New Dataset and Baselines—0
Towards Realistic Few-Shot Relation Extraction: A New Meta Dataset and Evaluation—0
Towards Temporal Scoping of Relational Facts based on Wikipedia Data—0
Towards Time-Aware Distant Supervision for Relation Extraction—0
Towards Time-Aware Knowledge Graph Completion—0
Towards Unsupervised Learning of Temporal Relations between Events—0
Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path—0
Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction—0
Transductive Non-linear Learning for Chinese Hypernym Prediction—0
Transfer Learning for Relation Extraction via Relation-Gated Adversarial Learning—0
Transforming Wikipedia into a Large-Scale Fine-Grained Entity Type Corpus—0
Translating Embeddings in Document for Modeling Multi-relational Graphs—0
Tree Representations in Probabilistic Models for Extended Named Entities Detection—0
TREND: Trigger-Enhanced Relation-Extraction Network for Dialogues—0
Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning—0
TTI-COIN at SemEval-2017 Task 10: Investigating Embeddings for End-to-End Relation Extraction from Scientific Papers—0
Two Step Joint Model for Drug Drug Interaction Extraction—0
Type-Aware Distantly Supervised Relation Extraction with Linked Arguments—0
Typed Tensor Decomposition of Knowledge Bases for Relation Extraction—0
UC3M-NII Team at SemEval-2018 Task 7: Semantic Relation Classification in Scientific Papers via Convolutional Neural Network—0
UEM-UC3M: An Ontology-based named entity recognition system for biomedical texts.—0
UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering—0
UMichigan: A Conditional Random Field Model for Resolving the Scope of Negation—0
Understanding Clinical Trial Reports: Extracting Medical Entities and Their Relations—0
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning—0
Understanding Tables in Context Using Standard NLP Toolkits—0
UniEX: An Effective and Efficient Framework for Unified Information Extraction via a Span-extractive Perspective—0
UniMa at SemEval-2018 Task 7: Semantic Relation Extraction and Classification from Scientific Publications—0
Unimodal and Multimodal Representation Training for Relation Extraction—0
UNIXLONG at SemEval-2020 Task 6: A Joint Model for Definition Extraction—0
Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting—0
Unsupervised Common Sense Relation Extraction—0
Unsupervised Dependency Parsing with Transferring Distribution via Parallel Guidance and Entropy Regularization—0
Unsupervised Discovery of Relations and Discriminative Extraction Patterns—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