https://github.com/ispras-texterra/word-embeddings-eval-hy
공식 코드Word Embeddings for the Armenian Language: Intrinsic and Extrinsic Evaluation
Papers with Code 아카이브
Text Classification
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Text Classification is the task of assigning a sentence or document an appropriate category. The categories depend on the chosen dataset and can range from topics.
Text Classification problems include emotion classification, news classification, citation intent classification, among others. Benchmark datasets for evaluating text classification capabilities include GLUE, AGNews, among others.
In recent years, deep learning techniques like XLNet and RoBERTa have attained some of the biggest performance jumps for text classification problems.
<span style="color:grey; opacity: 0.6">( Image credit: Text Classification Algorithms: A Survey )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ivanmontero/autobot
공식 코드Sentence Bottleneck Autoencoders from Transformer Language Models
https://github.com/izmailovpavel/flowgmm
공식 코드https://github.com/jaaack-wang/detect-influence-campaigns
공식 코드Clustering Document Parts: Detecting and Characterizing Influence Campaigns from Documents
https://github.com/jabalazs/implicit_emotion
공식 코드IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations
https://github.com/jagol/cl-uzh-edos-2023
공식 코드https://github.com/jagol/nli-for-hate-speech-detection
공식 코드https://github.com/james-zym/apt-pipe
공식 코드APT-Pipe: A Prompt-Tuning Tool for Social Data Annotation using ChatGPT
https://github.com/jameslyc88/text_classification_baseline_code
공식 코드Linear Classifier: An Often-Forgotten Baseline for Text Classification
https://github.com/jamiehadd/ssnmf
공식 코드Semi-supervised NMF Models for Topic Modeling in Learning Tasks
https://github.com/jantrienes/ecir2019-qac
공식 코드Identifying Unclear Questions in Community Question Answering Websites
https://github.com/jarcaandrei/tiacbm
공식 코드Task-Informed Anti-Curriculum by Masking Improves Downstream Performance on Text
https://github.com/jasonren12/PredictionFocusedTopicModel
공식 코드https://github.com/jasonwei20/eda_nlp
공식 코드EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
https://github.com/jasonwei20/triplet-loss
공식 코드Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning
https://github.com/jbaker92/scir
공식 코드Large-Scale Stochastic Sampling from the Probability Simplex
https://github.com/jbarnesspain/fine-grained_cross-lingual_emotion
공식 코드https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks
공식 코드Establishing Baselines for Text Classification in Low-Resource Languages
https://github.com/jdcomsearch/jdsearch-22
공식 코드Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search
https://github.com/jdkong/gender_recognition
공식 코드https://github.com/jeffwillette/umbc
공식 코드https://github.com/jenlindadsouza/NLPContributions
공식 코드https://github.com/jeon9677/gviz
공식 코드https://github.com/jerbarnes/fine-grained_cross-lingual_emotion
공식 코드https://github.com/jerbarnes/hier_vs_transfer
공식 코드A Systematic Comparison of Architectures for Document-Level Sentiment Classification
https://github.com/jeremy-costello/rl-for-topic-models
공식 코드https://github.com/jetrunner/tupate
공식 코드https://github.com/jfchi/cscl4ftc
공식 코드Conditional Supervised Contrastive Learning for Fair Text Classification
https://github.com/jhl-hust/texthacker
공식 코드TextHacker: Learning based Hybrid Local Search Algorithm for Text Hard-label Adversarial Attack
https://github.com/jiacheng-xu/vmf_vae_nlp
공식 코드https://github.com/jiangmeng-jm/cognitive-pathways---deep-learning
공식 코드https://github.com/jianxu95/signguard
공식 코드Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering
https://github.com/jiehsheng/PatentBERT
공식 코드PatentBERT: Patent Classification with Fine-Tuning a pre-trained BERT Model
https://github.com/jieyuz2/wrench
공식 코드Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification
https://github.com/jihunhamm/MinimaxFilter
공식 코드Minimax Filter: Learning to Preserve Privacy from Inference Attacks
https://github.com/jind11/HSLN-Joint-Sentence-Classification
공식 코드Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.