SOTAVerified

Document Classification

Document Classification is a procedure of assigning one or more labels to a document from a predetermined set of labels.

Source: Long-length Legal Document Classification

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–300 of 641 papers

TitleStatusHype
Bengali text document categorization based on very deep convolution neural network—0
Deep Learning for Technical Document Classification—0
Efficient Document Image Classification Using Region-Based Graph Neural Network—0
An Automated Knowledge Mining and Document Classification System with Multi-model Transfer Learning—0
An Intelligent Hybrid Model for Identity Document Classification—0
Recurrent Neural Networks with Mixed Hierarchical Structures for Natural Language Processing—0
Game-theoretic Vocabulary Selection via the Shapley Value and Banzhaf Index—0
Lightweight Cross-Lingual Sentence Representation LearningCode0
Towards Bengali Word Embedding: Corpus Creation, Intrinsic and Extrinsic Evaluations—0
An Analysis of a BERT Deep Learning Strategy on a Technology Assisted Review Task—0
Developing Annotated Resources for Internal Displacement Monitoring—0
Not All Attention Is All You Need—0
Exploring the Relationship Between Algorithm Performance, Vocabulary, and Run-Time in Text ClassificationCode0
GEPSA, a tool for monitoring social challenges in digital press—0
Unsupervised Document Embedding via Contrastive AugmentationCode0
Identifying ARDS using the Hierarchical Attention Network with Sentence Objectives Framework—0
Improving Document-Level Sentiment Classification Using Importance of Sentences—0
Supervised Tree-Wasserstein Distance—0
Medical Segment Coloring of Clinical Notes—0
Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document ClassificationCode0
Entropy Partial Transport with Tree Metrics: Theory and Practice—0
Enhanced word embeddings using multi-semantic representation through lexical chainsCode0
Network Clustering for Multi-task Learning—0
An Explainable CNN Approach for Medical Codes Prediction from Clinical TextCode0
On-Device Document Classification using multimodal features—0
Neural Nonnegative CP Decomposition for Hierarchical Tensor Analysis—0
Automating Document Classification with Distant Supervision to Increase the Efficiency of Systematic Reviews—0
TAN-NTM: Topic Attention Networks for Neural Topic Modeling—0
Joint Training for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora—0
Mixing ADAM and SGD: a Combined Optimization MethodCode0
Neural Speed Reading Audited—0
Text Graph Transformer for Document Classification—0
Margin-aware Unsupervised Domain Adaptation for Cross-lingual Text Labeling—0
Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted LearningCode0
Robust Document Representations using Latent Topics and Metadata—0
Exploiting Context for Robustness to Label Noise in Active Learning—0
Legal Document Classification: An Application to Law Area Prediction of Petitions to Public Prosecution Service—0
Causal Feature Selection with Dimension Reduction for Interpretable Text Classification—0
Towards a Multi-modal, Multi-task Learning based Pre-training Framework for Document Representation Learning—0
Immigration Document Classification and Automated Response Generation—0
Cascaded Semantic and Positional Self-Attention Network for Document Classification—0
Label-Wise Document Pre-Training for Multi-Label Text ClassificationCode0
Domain-Specific Language Model Pretraining for Biomedical Natural Language ProcessingCode0
A Study of fastText Word Embedding Effects in Document Classification in Bangla LanguageCode0
XD at SemEval-2020 Task 12: Ensemble Approach to Offensive Language Identification in Social Media Using Transformer Encoders—0
Evaluation of Neural Network Classification Systems on Document Stream—0
Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT—0
Domain Adaptation and Instance Selection for Disease Syndrome Classification over Veterinary Clinical Notes—0
A Confidence-Calibrated MOBA Game Winner PredictorCode0
Biologically Plausible Learning of Text Representation with Spiking Neural Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ApproxRepSetAccuracy97.17—Unverified
2REL-RWMD k-NNAccuracy95.61—Unverified
3Orthogonalized Soft VSMAccuracy92.65—Unverified
4MAGNETF189.9—Unverified
5VLAWEF189.3—Unverified
6KD-LSTMregF188.9—Unverified
7LSTM-reg (single model)F187—Unverified
8SCDV-MSF182.71—Unverified
#ModelMetricClaimedVerifiedStatus
1ACNetAccuracy83.5—Unverified
2LGCNAccuracy83.3—Unverified
3GATAccuracy83—Unverified
4MoNetAccuracy81.7—Unverified
5DeepWalkAccuracy67.2—Unverified
#ModelMetricClaimedVerifiedStatus
1BioLinkBERT (large)F188.1—Unverified
2NCBI_BERT(large) (P)F187.3—Unverified
3SciFive-largeF186.08—Unverified
4BioGPTMicro F185.12—Unverified
5PubMedBERT uncasedMicro F182.32—Unverified
#ModelMetricClaimedVerifiedStatus
1MPAD-pathAccuracy99.59—Unverified
2Orthogonalized Soft VSMAccuracy97.73—Unverified
3ApproxRepSetAccuracy95.73—Unverified
4REL-RWMD k-NNAccuracy95.18—Unverified
#ModelMetricClaimedVerifiedStatus
1ApproxRepSetAccuracy94.31—Unverified
2Orthogonalized Soft VSMAccuracy93.42—Unverified
3REL-RWMD k-NNAccuracy93.03—Unverified
#ModelMetricClaimedVerifiedStatus
1ApproxRepSetAccuracy72.6—Unverified
2REL-RWMD k-NNAccuracy71.05—Unverified
3Orthogonalized Soft VSMAccuracy69.21—Unverified
#ModelMetricClaimedVerifiedStatus
1KD-LSTMregF172.9—Unverified
2MAGNETF169.6—Unverified
#ModelMetricClaimedVerifiedStatus
1REL-RWMD k-NNAccuracy96.85—Unverified
2ApproxRepSetAccuracy96.24—Unverified
#ModelMetricClaimedVerifiedStatus
1Document Classification Using Importance of SentencesAccuracy54.8—Unverified
2LSTM-reg (single model)Accuracy52.8—Unverified
#ModelMetricClaimedVerifiedStatus
1ApproxRepSetAccuracy59.06—Unverified
2REL-RWMD k-NNAccuracy56.8—Unverified
#ModelMetricClaimedVerifiedStatus
1SPECTERF1 (micro)82—Unverified
2SciNCLF1 (micro)81.4—Unverified
#ModelMetricClaimedVerifiedStatus
1SciNCLF1 (micro)88.7—Unverified
2SPECTERF1 (micro)86.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ConvTextTMAccuracy91.28—Unverified
2HDLTexAccuracy90.93—Unverified
#ModelMetricClaimedVerifiedStatus
1ChuLoAccuracy95.38—Unverified
#ModelMetricClaimedVerifiedStatus
1ChuLoAccuracy64.4—Unverified
#ModelMetricClaimedVerifiedStatus
1MPAD-pathAccuracy89.81—Unverified
#ModelMetricClaimedVerifiedStatus
1BilBOWAAccuracy75—Unverified
#ModelMetricClaimedVerifiedStatus
1BilBOWAAccuracy86.5—Unverified
#ModelMetricClaimedVerifiedStatus
1HDLTexAccuracy86.07—Unverified
#ModelMetricClaimedVerifiedStatus
1HDLTexAccuracy76.58—Unverified
#ModelMetricClaimedVerifiedStatus
1KD-LSTMregAccuracy69.4—Unverified