Papers with Code 아카이브

Document Classification

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 1
평가표: 22
보존된 평가 기록: 51

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

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/3mcloud/MDACE

공식 코드

MDACE: MIMIC Documents Annotated with Code Evidence

https://github.com/4ldk/SubRegWeigh

공식 코드

SubRegWeigh: Effective and Efficient Annotation Weighing with Subword Regularization

https://github.com/AndriyMulyar/bert_document_classification

공식 코드

Phenotyping of Clinical Notes with Improved Document Classification Models Using Contextualized Neural Language Models

https://github.com/AnonymousCSResearcher/STEMdocClassEntityExplainability

공식 코드

Towards Explaining STEM Document Classification using Mathematical Entity Linking

https://github.com/GeorgeLuImmortal/Hierarchical-BERT-Model-with-Limited-Labelled-Data

공식 코드

A Sentence-level Hierarchical BERT Model for Document Classification with Limited Labelled Data

https://github.com/IyatomiLab/CE-CLCNN

공식 코드

End-to-End Text Classification via Image-based Embedding using Character-level Networks

https://github.com/LuisPB7/fnc-msc

공식 코드

https://github.com/MIR-MU/regularized-embeddings

공식 코드

Text classification with word embedding regularization and soft similarity measure

https://github.com/Mao-KU/lightweight-crosslingual-sent2vec

공식 코드

Lightweight Cross-Lingual Sentence Representation Learning

https://github.com/MemoriesJ/KAMG

공식 코드

Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs

https://github.com/NLPrinceton/ALaCarte

공식 코드

A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors

https://github.com/PetarV-/GAT

공식 코드

Graph Attention Networks

https://github.com/Quadflor/quadflor

공식 코드

Using Titles vs. Full-text as Source for Automated Semantic Document Annotation

https://github.com/Quicksign/ocrized-text-dataset

공식 코드

Multimodal deep networks for text and image-based document classification

https://github.com/Roche/BalancedLossNLP

공식 코드

Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution

https://github.com/ShannonAI/glyce

공식 코드

Glyce: Glyph-vectors for Chinese Character Representations

https://github.com/UniModal4Reasoning/DocGenome

공식 코드

DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models

https://github.com/YatinChaudhary/NCLM

공식 코드

Explainable and Discourse Topic-aware Neural Language Understanding

https://github.com/YatinChaudhary/TopicBERT

공식 코드

TopicBERT for Energy Efficient Document Classification

https://github.com/adhyasuman/eval_negtm

공식 코드

Evaluating Negative Sampling Approaches for Neural Topic Models

https://github.com/ahmedesamy/dsgrl

공식 코드

Data-Driven Self-Supervised Graph Representation Learning

https://github.com/aiintelligentsystems/next-level-bert

공식 코드

NextLevelBERT: Masked Language Modeling with Higher-Level Representations for Long Documents

https://github.com/allenai/scidocs

공식 코드

SPECTER: Document-level Representation Learning using Citation-informed Transformers

https://github.com/allenai/specter

공식 코드

SPECTER: Document-level Representation Learning using Citation-informed Transformers

https://github.com/archanray/approximate_similarities

공식 코드

Sublinear Time Approximation of Text Similarity Matrices

https://github.com/askerlee/topicvec

공식 코드

Generative Topic Embedding: a Continuous Representation of Documents (Extended Version with Proofs)

https://github.com/askerlee/vmfmix

공식 코드

Dirichlet-vMF Mixture Model

https://github.com/asmgx/llms

공식 코드

Can Reasoning LLMs Enhance Clinical Document Classification?

https://github.com/bgshin/distill_demo

공식 코드

The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble Learning

https://github.com/bids-xu-lab/biomedical-nlp-benchmarks

공식 코드

Benchmarking large language models for biomedical natural language processing applications and recommendations

https://github.com/bkolosk1/bablfusion

공식 코드

AutoML-guided Fusion of Entity and LLM-based Representations for Document Classification

https://github.com/blessu/balancedlossnlp

공식 코드

Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution

https://github.com/bruthyu/melo

공식 코드

MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA

https://github.com/cair/tmu

공식 코드

Tsetlin Machine Embedding: Representing Words Using Logical Expressions

https://github.com/cambridgeltl/mling_sdgms

공식 코드

Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification

https://github.com/castorini/hedwig

공식 코드

DocBERT: BERT for Document Classification

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.