This project is based on Parsing the json and dumping it to CSV via Flask api post method. Huge json file can be parsed by just executing the main.py file and open the url http://127.0.0.1:5000/parsing in postman. please provide the POST method and provide body value as json body object ( take example_account-model.json file as example) dumping the result in CSV file. Mostly used Parsed result for data analysis purpose. #Steps or Guides to run the project. Create a Virtual […]

If training from scratch, simply run. If not, customize the dir in /experiments/CSR config.py. @inproceedings{tan2021confident, title={Confident Semantic Ranking Loss for Part Parsing}, author={Tan, Xin and Xu, Jiachen and Ye, Zhou and Hao, Jinkun and Ma, Lizhuang}, booktitle={2021 IEEE International Conference on Multimedia and Expo (ICME)}, pages={1–6}, year={2021}, organization={IEEE} }    

This repository contains code for the ICLR 2021 paper “SCoRE: Pre-Training for Context Representation in Conversational Semantic Parsing”. If you use SCoRE in your work, please cite it as follows: @inproceedings{yu2021SCoRE, title={{SCoRE}: Pre-Training for Context Representation in Conversational Semantic Parsing}, author={Tao Yu and Rui Zhang and Oleksandr Polozov and Christopher Meek and Ahmed Hassan Awadallah}, booktitle={International Conference on Learning Representations}, year={2021}, url={https://openreview.net/forum?id=oyZxhRI2RiE} } Environment Setup At the time of development, we used the same environment setup as RAT-SQL. It assumes […]

Python Eacc is a parsing tool it implements a flexible lexer and a straightforward approach to analyze documents. It uses Python code to specify both lexer and grammar for a given document. Eacc can handle succinctly most parsing cases that existing Python parsing tools propose to address. Documents are split into tokens and a token has a type when a sequence of tokens is matched it evaluates to a specific type then rematcned again against the existing rules. The types […]

pypostal These are the official Python bindings to https://github.com/openvenues/libpostal, a fast statistical parser/normalizer for street addresses anywhere in the world. Usage from postal.expand import expand_address expand_address(‘Quatre vingt douze Ave des Champs-Élysées’) from postal.parser import parse_address parse_address(‘The Book Club 100-106 Leonard St, Shoreditch, London, Greater London, EC2A 4RH, United Kingdom’) Installation Before using the Python bindings, you must install the libpostal C library. Make sure you have the following prerequisites: On Ubuntu/Debian sudo apt-get install curl autoconf automake libtool python-dev pkg-config […]