pytextrank
bert2bert-summarization
| pytextrank | bert2bert-summarization | |
|---|---|---|
| 2 | 1 | |
| 2,161 | 31 | |
| 0.4% | - | |
| 4.7 | 0.0 | |
| 6 months ago | about 4 years ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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pytextrank
bert2bert-summarization
-
[P] Summarization using Bert2Bert Frameworks
Here is the implementation of the Summarization model using pytorch lighting and huggingface transformers. The model used Bert2Bert, which uses the Korean Bert as an encoder-decoder structure. This model recorded ROUGE-1 score of 44.8 on the Korean benchmark dataset. Details of the implementation can be found here. (https://github.com/hyunwoongko/bert2bert-summarization)
What are some alternatives?
turing - :sparkles: :dna: Turing ES - Enterprise Search, Chatbot using Search Engine and Many NLP Vendors.
summarizers - Package for controllable summarization
retext-readability - plugin to check readability
sumy - Module for automatic summarization of text documents and HTML pages.
pke - Python Keyphrase Extraction module
factsumm - FactSumm: Factual Consistency Scorer for Abstractive Summarization
Text-Summarization-using-NLP - Text Summarization using NLP to fetch BBC News Article and summarize its text and also it includes custom article Summarization
haystack - AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
spacy-models - 💫 Models for the spaCy Natural Language Processing (NLP) library
ERNIE - Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.
textstat - :memo: python package to calculate readability statistics of a text object - paragraphs, sentences, articles.
zsl-kg - Framework for zero-shot learning with knowledge graphs.