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Search results for classification summarization

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summarization x

14 search results found

Llm Finetuning Hub ⭐ 556

Repository that contains LLM fine-tuning and deployment scripts along with our research findings.

Simplet5 ⭐ 305

simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.

How To Use Transformers ⭐ 271

Transformers 库快速入门教程

Sa Papers ⭐ 108

📄 Deep Learning 中 Sentiment Analysis 論文統整與分析 😀😡☹️😭🙄🤢

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

Ngram Graphs ⭐ 37

🎓RESEARCH [NLP] Analysis of N-gram Graphs and their applications in the domain of Text Classification and Extraction based Summarization

Nlp_workshop_odsc_europe20 ⭐ 36

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and Topic Models.

Nlp Stuff ⭐ 27

A bit of everything about text and nlp [IN PROGRESS]

Verseagility ⭐ 21

Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.

The dataset and PyTorch Implementation for ACL 2020 paper "MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization".

Doc2graph ⭐ 11

Code for the paper "Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization" SIGIR 2020

Text Classification And Context Mining For Document Summarization ⭐ 7

Automnomously attempting a categorical summarization of a sparse, asymmetrical corpus in English language, by performing text classification - which is achieved by our intuitive sentence pair classification scenarios and usecases.

Text Classification ⭐ 6

Deep learning text classification with attention and multi-task learning of extractive summarization

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