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 10 months ago)

Stargazers 45 (0 this week)

Watchers 3 (0 this week)

Forks 19

License apache-2.0

Ranking

RepositoryStats indexes 595,856 repositories, of these SatyamSoni23/Smart-Question-Answering-System-on-Document is ranked #495,451 (17th percentile) for total stargazers, and #427,587 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #13,311/17,543.

SatyamSoni23/Smart-Question-Answering-System-on-Document is also tagged with popular topics, for these it's ranked: nlp (#2,121/2430), bert (#504/559)

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

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

Commits to the default branch (main) per year

Issue History

Languages

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

updated: 2024-12-20 @ 05:10am, id: 361859832 / R_kgDOFZGK-A