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

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Showing 401–450 of 641 papers

TitleStatusHype
Co-regularized Multi-view Sparse Reconstruction Embedding for Dimension Reduction—0
FLATM: A Fuzzy Logic Approach Topic Model for Medical Documents—0
Flexible Job Classification with Zero-Shot Learning—0
Focus on the Core: Efficient Attention via Pruned Token Compression for Document Classification—0
Game-theoretic Vocabulary Selection via the Shapley Value and Banzhaf Index—0
Gaussian Word Embedding with a Wasserstein Distance Loss—0
Gender Detection on Social Networks using Ensemble Deep Learning—0
Generalised Spherical Text Embedding—0
Generalising the Discriminative Restricted Boltzmann Machine—0
Generalized Bregman Divergence and Gradient of Mutual Information for Vector Poisson Channels—0
GEPSA, a tool for monitoring social challenges in digital press—0
GoWvis: A Web Application for Graph-of-Words-based Text Visualization and Summarization—0
Graph Convolutional Networks for Classification with a Structured Label Space—0
Graph-tree Fusion Model with Bidirectional Information Propagation for Long Document Classification—0
GRASP: Rich Patterns for Argumentation Mining—0
GuideWalk: A Novel Graph-Based Word Embedding for Enhanced Text Classification—0
HarriGT: A Tool for Linking News to Science—0
Hash2Vec, Feature Hashing for Word Embeddings—0
Hawk: An Industrial-strength Multi-label Document Classifier—0
HeRo: RoBERTa and Longformer Hebrew Language Models—0
Hierarchical Convolutional Attention Networks for Text Classification—0
Hierarchical Multi-modal Transformer for Cross-modal Long Document Classification—0
Hierarchical Neural Network Approaches for Long Document Classification—0
Human Centered NLP with User-Factor Adaptation—0
Human in the loop: How to effectively create coherent topics by manually labeling only a few documents per class—0
Human versus Machine Attention in Document Classification: A Dataset with Crowdsourced Annotations—0
Hybrid Method of Semi-supervised Learning and Feature Weighted Learning for Domain Adaptation of Document Classification—0
Identifying ARDS using the Hierarchical Attention Network with Sentence Objectives Framework—0
IITP at IJCNLP-2017 Task 4: Auto Analysis of Customer Feedback using CNN and GRU Network—0
Immigration Document Classification and Automated Response Generation—0
Importance of Textlines in Historical Document Classification—0
Improved Multi-label Classification under Temporal Concept Drift: Rethinking Group-Robust Algorithms in a Label-Wise Setting—0
Improve Document Embedding for Text Categorization Through Deep Siamese Neural Network—0
Improving Document-Level Sentiment Classification Using Importance of Sentences—0
Improving Long Text Understanding with Knowledge Distilled from Summarization Model—0
Improving Neural Language Processing with Named Entities—0
Improving Persian Document Classification Using Semantic Relations between Words—0
Improving Topic Models with Latent Feature Word Representations—0
Improving Word Representations via Global Context and Multiple Word Prototypes—0
Incrementally-Computable Neural Networks: Efficient Inference for Dynamic Inputs—0
In-depth annotation for patient level liver cancer staging—0
Inducing Crosslingual Distributed Representations of Words—0
Information-theoretic Multi-view Domain Adaptation—0
Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process—0
Intelligent Document Processing -- Methods and Tools in the real world—0
Interpretable Low-Rank Document Representations with Label-Dependent Sparsity Patterns—0
Interpretable Research Replication Prediction via Variational Contextual Consistency Sentence Masking—0
Inverted indexing for cross-lingual NLP—0
Irregularity Detection in Categorized Document Corpora—0
JOINTLY LEARNING TOPIC SPECIFIC WORD AND DOCUMENT EMBEDDING—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