On the public citation graph

Chinese Event Extraction via Graph Attention Network

0 signed · 26 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-50496-4_23openalex-snapshot
A Convolution BiLSTM Neural Network Model for Chinese Event Extraction
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.17863/cam.48429openalex-snapshot
Graph Attention Networks
inferredcites →https://doi.org/10.18653/v1/d18-1246openalex-snapshot
N-ary Relation Extraction using Graph-State LSTM
inferredcites →https://doi.org/10.18653/v1/p18-1145openalex-snapshot
Nugget Proposal Networks for Chinese Event Detection
inferredcites →https://doi.org/10.3115/v1/d14-1179openalex-snapshot
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
inferredcites →https://doi.org/10.3115/v1/p15-2060openalex-snapshot
Event Detection and Domain Adaptation with Convolutional Neural Networks
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.4230/lipics.ecoop.2025.6openalex-snapshot
Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories
inferredcites →https://doi.org/10.48550/arxiv.1301.3781openalex-snapshot
Efficient Estimation of Word Representations in Vector Space
inferredcites →https://doi.org/10.48550/arxiv.1609.02907openalex-snapshot
Semi-Supervised Classification with Graph Convolutional Networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-81322-1_27openalex-snapshot
From Document-Centric to Data-Centric Paradigm Shift by Employing Event Centric Knowledge Graphs: The Diavgeia.gov.gr Case
inferred← citeshttps://doi.org/10.1007/978-981-97-7770-9_17openalex-snapshot
Research on Event Extraction and Event Relation Extraction for Strategic Operations Analysis
inferred← citeshttps://doi.org/10.1007/978-981-99-4752-2_63openalex-snapshot
Chinese Event Extraction with Small-Scale Language Model
inferred← citeshttps://doi.org/10.1007/s44443-025-00079-2openalex-snapshot
HiEE: Hierarchical feature fusion for Chinese event extraction
inferred← citeshttps://doi.org/10.1109/icsai57119.2022.10005359openalex-snapshot
Chinese Semantic Description Framework of Operational Planning Statements
inferred← citeshttps://doi.org/10.1109/mlbdbi60823.2023.10481900openalex-snapshot
Event Extraction Model Based on Dependency Syntax and Label Pointer Network
inferred← citeshttps://doi.org/10.1109/nnnlp68229.2025.00010openalex-snapshot
A Syntax-Enhanced Event Extraction Model Based on Transformer and Contrastive Learning
inferred← citeshttps://doi.org/10.1145/3582261openalex-snapshot
More Than Syntaxes: Investigating Semantics to Zero-shot Cross-lingual Relation Extraction and Event Argument Role Labelling
inferred← citeshttps://doi.org/10.1145/3626568openalex-snapshot
A Synergistic Bidirectional LSTM and N-gram Multi-channel CNN Approach Based on BERT and FastText for Arabic Event Identification
inferred← citeshttps://doi.org/10.1371/journal.pone.0306673openalex-snapshot
MaskDGNets: Masked-attention guided dynamic graph aggregation network for event extraction
inferred← citeshttps://doi.org/10.1609/aaai.v38i17.29877openalex-snapshot
Dependency Structure-Enhanced Graph Attention Networks for Event Detection
inferred← citeshttps://doi.org/10.26599/tst.2023.9010139openalex-snapshot
A Survey of the Application of Neural Networks to Event Extraction
inferred← citeshttps://doi.org/10.3390/agronomy15092135openalex-snapshot
Research on Agricultural Meteorological Disaster Event Extraction Method Based on Character–Word Fusion
inferred← citeshttps://doi.org/10.3390/math11234852openalex-snapshot
Event-Centric Temporal Knowledge Graph Construction: A Survey
inferred← citeshttps://doi.org/10.55463/issn.1674-2974.51.1.13openalex-snapshot
Event Extraction Using Word Clustering and Word Embedding for Roman Urdu
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.