On the public citation graph
A Comparative Study of Neural Network Models for Sentence Classification
0 signed · 31 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.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-11680-8_52openalex-snapshot
Using Dependency Analysis to Improve Question Classification
inferredcites →https://doi.org/10.1007/978-3-319-25660-3_22openalex-snapshot
Fast Dependency Parsing Using Distributed Word Representations
inferredcites →https://doi.org/10.1016/0364-0213(90)90002-eopenalex-snapshot
Finding structure in time
inferredcites →https://doi.org/10.1017/s1351324905003955openalex-snapshot
Learning question classifiers: the role of semantic information
inferredcites →https://doi.org/10.1109/icassp.2013.6638947openalex-snapshot
Speech recognition with deep recurrent neural networks
inferredcites →https://doi.org/10.1145/860435.860443openalex-snapshot
Question classification using support vector machines
inferredcites →https://doi.org/10.17485/ijst/2016/v9i17/93160openalex-snapshot
Improving Question Classification by Feature Extraction and Selection
inferredcites →https://doi.org/10.3115/1072228.1072378openalex-snapshot
Learning question classifiers
inferredcites →https://doi.org/10.3115/1073483.1073493openalex-snapshot
Question classification with support vector machines and error correcting codes
inferredcites →https://doi.org/10.3115/1613715.1613835openalex-snapshot
Question classification using head words and their hypernyms
inferredcites →https://doi.org/10.3115/v1/d14-1181openalex-snapshot
Convolutional Neural Networks for Sentence Classification
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-23281-8_1openalex-snapshot
Deep Neural Network Models for Paraphrased Text Classification in the Arabic Language
inferred← citeshttps://doi.org/10.1007/978-3-030-55789-8_30openalex-snapshot
Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets
inferred← citeshttps://doi.org/10.1007/978-981-16-4863-2_6openalex-snapshot
Comparative Review of Content Based Image Retrieval Using Deep Learning
inferred← citeshttps://doi.org/10.1007/s10489-021-02898-yopenalex-snapshot
Word representation using refined contexts
inferred← citeshttps://doi.org/10.1080/10589759.2024.2429691openalex-snapshot
Laser ultrasonic inspection of surface and subsurface defects in materials based on deep learning
inferred← citeshttps://doi.org/10.1109/access.2019.2922104openalex-snapshot
Efficient Human Activity Recognition Solving the Confusing Activities Via Deep Ensemble Learning
inferred← citeshttps://doi.org/10.1109/bigdata50022.2020.9378184openalex-snapshot
Animal Behavior Prediction with Long Short-Term Memory
inferred← citeshttps://doi.org/10.1109/icccs57501.2023.10151078openalex-snapshot
Thai Handwritten Character Recognition Using Deep Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/jsen.2022.3148431openalex-snapshot
A Novel Deep Learning Bi-GRU-I Model for Real-Time Human Activity Recognition Using Inertial Sensors
inferred← citeshttps://doi.org/10.1109/jstars.2020.3032672openalex-snapshot
A Deep Learning Model With Capsules Embedded for High-Resolution Image Classification
inferred← citeshttps://doi.org/10.1155/2022/9592200openalex-snapshot
A Computational Neural Network Model for College English Grammar Correction
inferred← citeshttps://doi.org/10.1371/journal.pone.0286919openalex-snapshot
Less is more: Efficient behavioral context recognition using Dissimilarity-Based Query Strategy
inferred← citeshttps://doi.org/10.18653/v1/2021.eacl-main.155openalex-snapshot
Through the Looking Glass: Learning to Attribute Synthetic Text Generated by Language Models
inferred← citeshttps://doi.org/10.3390/aerospace12060520openalex-snapshot
Orbital Behavior Intention Recognition for Space Non-Cooperative Targets Under Multiple Constraints
inferred← citeshttps://doi.org/10.3390/s23010113openalex-snapshot
Indoor Spatiotemporal Contact Analytics Using Landmark-Aided Pedestrian Dead Reckoning on Smartphones
inferred← citeshttps://doi.org/10.34238/tnu-jst.3990openalex-snapshot
ỨNG DỤNG MÔ HÌNH BERT CHO BÀI TOÁN PHÂN LOẠI HỒ SƠ THEO THỜI HẠN BẢO QUẢN
inferred← citeshttps://doi.org/10.48550/arxiv.2001.00571openalex-snapshot
Question Type Classification Methods Comparison
inferred← citeshttps://doi.org/10.5120/ijais2023451952openalex-snapshot
Enhancing the Fight against Social Media Misinformation: An Ensemble Deep Learning Framework for Detecting Deepfakes
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.