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 901–950 of 1977 papers

TitleStatusHype
Global alignment for relation extraction in Microbiology—0
CQARE: Contrastive Question-Answering for Few-shot Relation Extraction with Prompt Tuning—0
BioNCERE: Non-Contrastive Enhancement For Relation Extraction In Biomedical Texts—0
Identification of Mentions and Relations between Bacteria and Biotope from PubMed Abstracts—0
Global Locality in Biomedical Relation and Event Extraction—0
Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification—0
Creating a Gold Standard Corpus for the Extraction of Chemistry-Disease Relations from Patent Texts—0
Domain Adapted Distant Supervision for Pedagogically Motivated Relation Extraction—0
Domain Adaptation of a Dependency Parser with a Class-Class Selectional Preference Model—0
Going beyond sentences when applying tree kernels—0
An Overview of Distant Supervision for Relation Extraction with a Focus on Denoising and Pre-training Methods—0
Identifying Argumentation Schemes in Genetics Research Articles—0
Idest: Learning a Distributed Representation for Event Patterns—0
Domain adaptation in practice: Lessons from a real-world information extraction pipeline—0
Domain Adaptation for Relation Extraction with Domain Adversarial Neural Network—0
GPLSIUA: Combining Temporal Information and Topic Modeling for Cross-Document Event Ordering—0
Biomolecular Event Extraction using a Stacked Generalization based Classifier—0
Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach—0
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction—0
Grammatical Case Based IS-A Relation Extraction with Boosting for Polish—0
GrantRel: Grant Information Extraction via Joint Entity and Relation Extraction—0
Graph-Augmented Relation Extraction Model with LLMs-Generated Support Document—0
Graph-based Joint Pandemic Concern and Relation Extraction on Twitter—0
BioMegatron: Larger Biomedical Domain Language Model—0
Graph-Based Seed Set Expansion for Relation Extraction Using Random Walk Hitting Times—0
GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction—0
Active Relation Discovery: Towards General and Label-aware Open Relation Extraction—0
Does Synthetic Data Generation of LLMs Help Clinical Text Mining?—0
Cross-Lingual Relation Extraction with Transformers—0
Graph-DPEP: Decomposed Plug and Ensemble Play for Few-Shot Document Relation Extraction with Graph-of-Thoughts Reasoning—0
Graph Enhanced Dual Attention Network for Document-Level Relation Extraction—0
Document Level Time-anchoring for TimeLine Extraction—0
GraphERE: Jointly Multiple Event-Event Relation Extraction via Graph-Enhanced Event Embeddings—0
GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation—0
Biomedical relation extraction with pre-trained language representations and minimal task-specific architecture—0
An Efficient Active Learning Framework for New Relation Types—0
Automatically Labeled Data Generation for Large Scale Event Extraction—0
Active Relation Discovery: Towards General and Label-aware OpenRE—0
Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas—0
GREG: A Global Level Relation Extraction with Knowledge Graph Embedding—0
GroupLink: An End-to-end Multitask Method for Word Grouping and Relation Extraction in Form Understanding—0
Guided Distant Supervision for Multilingual Relation Extraction Data: Adapting to a New Language—0
Guideline Learning for In-context Information Extraction—0
GUIR at SemEval-2017 Task 12: A Framework for Cross-Domain Clinical Temporal Information Extraction—0
Identification des probl\`emes d'annotation pour l'extraction de relations (Identification of annotation problem for the relation extraction)—0
HAREM and Klue: how to put two tagsets for named entities annotation together—0
iMETRE: Incorporating Markers of Entity Types for Relation Extraction—0
Document-level Relation Extraction with Dual-tier Heterogeneous Graph—0
Head-Lexicalized Bidirectional Tree LSTMs—0
Biomedical Relation Extraction via Adaptive Document-Relation Cross-Mapping and Concept Unique Identifier—0
Show:102550
← PrevPage 19 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
8LUKEF190.3—Unverified
9KnowPromptF190.3—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
7TablERTRE+ Micro F172.6—Unverified
8TANLRE+ 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