SatyamSoni23 / Smart-Question-Answering-System-on-Document

It's Smart-Question Answering System on short as well as long documents. It can automatically find answers to matching questions directly from documents. The deep learning language model converts the questions and documents to semantic vectors to find the matching answer.

Date Created 2021-04-26 (3 years ago)

Commits 30 (last one about a year ago)

Stargazers 52 (0 this week)

Watchers 2 (0 this week)

Forks 20

License apache-2.0

Ranking

RepositoryStats indexes 624,393 repositories, of these SatyamSoni23/Smart-Question-Answering-System-on-Document is ranked #473,522 (24th percentile) for total stargazers, and #477,492 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #12,567/18,725.

SatyamSoni23/Smart-Question-Answering-System-on-Document is also tagged with popular topics, for these it's ranked: nlp (#2,038/2502), bert (#484/572)

Other Information

SatyamSoni23/Smart-Question-Answering-System-on-Document has Github issues enabled, there are 2 open issues and 0 closed issues.

All Topics

nlp bert cdqa word2vec bert-embedding word-embeddings fine-tuning-bert glove-embeddings

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2 commits on the default branch (main) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2025-03-08 @ 07:30am, id: 361859832 / R_kgDOFZGK-A