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
A Sui Generis QA Approach using RoBERTa for Adverse Drug Event Identification—0
Learning from Semi-Factuals: A Debiased and Semantic-Aware Framework for Generalized Relation Discovery—0
Learning Gradient Fields for Scalable and Generalizable Irregular Packing—0
Learning High-Level Planning from Text—0
Learning High-order Structural and Attribute information by Knowledge Graph Attention Networks for Enhancing Knowledge Graph Embedding—0
A Study of Recent Contributions on Information Extraction—0
Learning local and global contexts using a convolutional recurrent network model for relation classification in biomedical text—0
A Study of Hybrid Similarity Measures for Semantic Relation Extraction—0
Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems—0
What or Who is Multilingual Watson?—0
Learning Relational Dependency Networks for Relation Extraction—0
Learning Relational Representations by Analogy using Hierarchical Siamese Networks—0
A Corpus Study and Annotation Schema for Named Entity Recognition and Relation Extraction of Business Products—0
A Study of Heterogeneous Similarity Measures for Semantic Relation Extraction—0
Learning Relation Ties with a Force-Directed Graph in Distant Supervised Relation Extraction—0
Learning Rich Representation of Keyphrases from Text—0
A Structured Literature Review on Traditional Approaches in Current Natural Language Processing—0
A Structured Learning Approach to Temporal Relation Extraction—0
Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning—0
A convex relaxation for weakly supervised relation extraction—0
When ACE met KBP: End-to-End Evaluation of Knowledge Base Population with Component-level Annotation—0
TIMERS: Document-level Temporal Relation Extraction—0
Learning to Infer Entities, Properties and their Relations from Clinical Conversations—0
Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction—0
A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction—0
Learning to Speed Up Structured Output Prediction—0
ASM Kernel: Graph Kernel using Approximate Subgraph Matching for Relation Extraction—0
TLAG: An Informative Trigger and Label-Aware Knowledge Guided Model for Dialogue-based Relation Extraction—0
Learning Transferable Representation for Bilingual Relation Extraction via Convolutional Neural Networks—0
Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix—0
Learning with Silver Standard Data for Zero-shot Relation Extraction—0
A Simple Overlapping Relation Extraction Method Based on Dropout—0
ToHRE: A Top-Down Classification Strategy with Hierarchical Bag Representation for Distantly Supervised Relation Extraction—0
Less is More: Rethinking State-of-the-art Continual Relation Extraction Models with a Frustratingly Easy but Effective Approach—0
A Simple Model for Distantly Supervised Relation Extraction—0
10,000+ Times Accelerated Robust Subset Selection (ARSS)—0
Toward a Discourse Theory for Annotating Causal Relations in Japanese—0
A Continual Relation Extraction Approach for Knowledge Graph Completeness—0
Leveraging Knowledge Graph Embeddings to Enhance Contextual Representations for Relation Extraction—0
Leveraging Linguistic Structure For Open Domain Information Extraction—0
When Are Tree Structures Necessary for Deep Learning of Representations?—0
A Simple and Efficient Probabilistic Language model for Code-Mixed Text—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
A Short Survey of Biomedical Relation Extraction Techniques—0
Limited memory incremental coreference resolution—0
LIMSI-COT at SemEval-2016 Task 12: Temporal relation identification using a pipeline of classifiers—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