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 1451–1500 of 1977 papers

TitleStatusHype
Open Relation Extraction and Grounding—0
Open Relation Extraction for Polish: Preliminary Experiments—0
Translating Embeddings in Document for Modeling Multi-relational Graphs—0
An Evaluation of Recent Neural Sequence Tagging Models in Turkish Named Entity Recognition—0
Tree Representations in Probabilistic Models for Extended Named Entities Detection—0
Open Temporal Relation Extraction for Question Answering—0
An Evaluation of Information Extraction Tools for Identifying Health Claims in News Headlines—0
Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting—0
Optimizing Multivariate Performance Measures for Learning Relation Extraction Models—0
Overview of VLSP RelEx shared task: A Data Challenge for Semantic Relation Extraction from Vietnamese News—0
Packed Levitated Marker for Entity and Relation Extraction—0
A Neural Network Model for Low-Resource Universal Dependency Parsing—0
Painless Relation Extraction with Kindred—0
Parallel Feature Selection Inspired by Group Testing—0
Unique Chinese Linguistic Phenomena—0
PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction—0
Parenthetical Classification for Information Extraction—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
Parsing Dependency Paths to Identify Event-Argument Relations—0
Parsing with Compositional Vector Grammars—0
TREND: Trigger-Enhanced Relation-Extraction Network for Dialogues—0
Pattern Learning for Relation Extraction with a Hierarchical Topic Model—0
PatternRank: Jointly Ranking Patterns and Extractions for Relation Extraction Using Graph-Based Algorithms—0
PDFdigest: an Adaptable Layout-Aware PDF-to-XML Textual Content Extractor for Scientific Articles—0
A Neural Architecture for Person Ontology population—0
PERLEX: A Bilingual Persian-English Gold Dataset for Relation Extraction—0
Permutation Invariant Strategy Using Transformer Encoders for Table Understanding—0
Peuplement d'une ontologie mod\'elisant le fonctionnement d'un environnement intelligent guid\'ee par l'extraction d'instances de relations (Population of an Ontology Modeling the Behavior of an Intelligent Environment Guided by Instance Relation Extractions) [in French]—0
PGA-SciRE: Harnessing LLM on Data Augmentation for Enhancing Scientific Relation Extraction—0
Pipelined Biomedical Event Extraction Rivaling Joint Learning—0
Pointing out the Shortcomings of Relation Extraction Models with Semantically Motivated Adversarials—0
Polaris: Lymba's Semantic Parser—0
An Entity-Centric Coreference Resolution System for Person Entities with Rich Linguistic Information—0
Populating Web Scale Knowledge Graphs using Distantly Supervised Relation Extraction and Validation—0
YNU-junyi in BioNLP-OST 2019: Using CNN-LSTM Model with Embeddings for SeeDev Binary Event Extraction—0
Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning—0
PP-StructureV2: A Stronger Document Analysis System—0
Predicting Document Coverage for Relation Extraction—0
Predicting Fine-grained Social Roles with Selectional Preferences—0
Predicting Informativeness of Semantic Triples—0
TTI-COIN at SemEval-2017 Task 10: Investigating Embeddings for End-to-End Relation Extraction from Scientific Papers—0
A Comparison of Chinese Parsers for Stanford Dependencies—0
Pre-trained Language Models as Re-Annotators—0
Pre-training Entity Relation Encoder with Intra-span and Inter-span Information—0
An Empirical Study on Relation Extraction in the Biomedical Domain—0
PRIMO: Progressive Induction for Multi-hop Open Rule Generation—0
Prior-informed Distant Supervision for Temporal Evidence Classification—0
An Empirical Study of Causal Relation Extraction Transfer: Design and Data—0
An Efficient Active Learning Framework for New Relation Types—0
Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge—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