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 1301–1350 of 1977 papers

TitleStatusHype
Zero-shot Temporal Relation Extraction with ChatGPT—0
中文关系抽取的句级语言学特征探究(A Probe into the Sentence-level Linguistic Features of Chinese Relation Extraction)—0
ZORE: A Syntax-based System for Chinese Open Relation Extraction—0
GIELLM: Japanese General Information Extraction Large Language Model Utilizing Mutual Reinforcement Effect—0
GLiNER multi-task: Generalist Lightweight Model for Various Information Extraction Tasks—0
Global alignment for relation extraction in Microbiology—0
Global Inference to Chinese Temporal Relation Extraction—0
Global Locality in Biomedical Relation and Event Extraction—0
Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification—0
Going beyond sentences when applying tree kernels—0
Going out on a limb: Joint Extraction of Entity Mentions and Relations without Dependency Trees—0
GPLSIUA: Combining Temporal Information and Topic Modeling for Cross-Document Event Ordering—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
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
GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction—0
Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction—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
GraphERE: Jointly Multiple Event-Event Relation Extraction via Graph-Enhanced Event Embeddings—0
GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation—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
HAREM and Klue: how to put two tagsets for named entities annotation together—0
Harvesting Parallel News Streams to Generate Paraphrases of Event Relations—0
Head-Lexicalized Bidirectional Tree LSTMs—0
HeidelToul: A Baseline Approach for Cross-document Event Ordering—0
Held-out versus Gold Standard: Comparison of Evaluation Strategies for Distantly Supervised Relation Extraction from Medline abstracts—0
HFST-SweNER --- A New NER Resource for Swedish—0
Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision—0
Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision—0
HiEve: A Corpus for Extracting Event Hierarchies from News Stories—0
HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion—0
HighIE: High-Order Inference for Entity Recognition, Relation Extraction, and Event Extraction—0
High Quality Dependency Selection from Automatic Parses—0
High Recall Open IE for Relation Discovery—0
High-throughput Biomedical Relation Extraction for Semi-Structured Web Articles Empowered by Large Language Models—0
High-throughput relation extraction algorithm development associating knowledge articles and electronic health records—0
HIN: Hierarchical Inference Network for Document-Level Relation Extraction—0
HIORE: Leveraging High-order Interactions for Unified Entity Relation Extraction—0
HITSZ-HLT at SemEval-2022 Task 10: A Span-Relation Extraction Framework for Structured Sentiment Analysis—0
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction—0
HIVE-4-MAT: Advancing the Ontology Infrastructure for Materials Science—0
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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