sentence classification models implemented in pytorch
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Updated
Apr 30, 2018 - Python
sentence classification models implemented in pytorch
Movie classification using Convolution Neural Network (CNN) for text
Detect toxic/offensive messages using various classification techniques
MatchZoo is a toolkit for text matching. It was developed to facilitate the designing, comparing, and sharing of deep text matching models.
Homework on mutlilingual word embeddings and sentence classification - MVA MSc
Convolutional neural networks for sentence sentiment classification and comparison with traditional NLP models
Text/Sentence Classification Python Module
"한계를 넘어 상상에 도전하자!" 네이버 AI 해커톤 2018 (Movie-review)
参考@yoonkim及其他仓库,完善CNN for Sentence Classification
Sentiment analysis data for Manipuri language
This is an NLP task from AI CUP 2022. We redefine this task into an extractive summarization task, which can also be regarded as a sentence classification task. By calculating scores for each sentence, we decompose sentences and recompose sentences with high scores into the arguments.
Neural sentence embedding using only in-domain sentences for out-of-domain sentence detection in dialog systems
Implemented projects from noncontextual word embeddings like Word2Vec to contextual word embeddings like ELMO, GPT, BERT to solving NLP tasks Sentence Level Classification (sentimental analysis & Toxic comment classification), Token Level Classification (POS Tagging, NER Tagging), Machine Translation (MT)
Use NLP to train a Naive Bayes Classifier to Analyse Sentiment in Text
State-of-the-Art Ember embedding model for retrieval augmented generation
End-to-end Siamese CNNs as feature selection for a CNN-based Entailment Modelling
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