US Tax Code to Natural Language Parsable Data for Programming Languages
Project Information
natural-language-processing, python, sqlProject Status: Complete
Project Region: CAREERS
Submitted By: Katherine Nelson
Project Email: phillip.bradford@uconn.edu
Project Institution: University of Connecticut - Stamford
Anchor Institution: CR-Yale
Project Address: Stamford, Connecticut
Mentors: Henry Orphys, Thomas Langford
Students: Krutika Patel
Project Description
This project is to prepare a subsection of US Tax code for Natural language translation for either https://catala-lang.org/ or ErgoAI of Coherent Knowledge http://coherentknowledge.comWe hope to get initial basic translations from US Tax code into either Catala-Lang or ErgoAI within some threshold of acceptability. Once we get the basic translations within some threshold we want to see if a local startup can complete the translations by engaging humans with expertise in the US Tax code.
This very early stage startup (Neutral Tax Networks, Greenwich CT) is in the formative stage and has a patent in this area while developing other intellectual property.
Link to House of Representatives site where US code is located. Internal Revenue Code is Title 36 (part way down on this list): https://uscode.house.gov/browse/prelim@title26/subtitleA/chapter1/subchapterA/part1&edition=prelim
Here is the IRS website page that contains the links to the internal revenue code and regulations that are provided as a public service by Cornell law schools Legal Information Institute: https://www.irs.gov/privacy-disclosure/tax-code-regulations-and-official-guidance#irc
Link to the internal revenue code sections provide dry Cornell’s Legal Information Institute (accessible by clicking on one of the links on the IRS website): https://www.law.cornell.edu/uscode/text
Project Information
natural-language-processing, python, sqlProject Status: Complete
Project Region: CAREERS
Submitted By: Katherine Nelson
Project Email: phillip.bradford@uconn.edu
Project Institution: University of Connecticut - Stamford
Anchor Institution: CR-Yale
Project Address: Stamford, Connecticut
Mentors: Henry Orphys, Thomas Langford
Students: Krutika Patel
Project Description
This project is to prepare a subsection of US Tax code for Natural language translation for either https://catala-lang.org/ or ErgoAI of Coherent Knowledge http://coherentknowledge.comWe hope to get initial basic translations from US Tax code into either Catala-Lang or ErgoAI within some threshold of acceptability. Once we get the basic translations within some threshold we want to see if a local startup can complete the translations by engaging humans with expertise in the US Tax code.
This very early stage startup (Neutral Tax Networks, Greenwich CT) is in the formative stage and has a patent in this area while developing other intellectual property.
Link to House of Representatives site where US code is located. Internal Revenue Code is Title 36 (part way down on this list): https://uscode.house.gov/browse/prelim@title26/subtitleA/chapter1/subchapterA/part1&edition=prelim
Here is the IRS website page that contains the links to the internal revenue code and regulations that are provided as a public service by Cornell law schools Legal Information Institute: https://www.irs.gov/privacy-disclosure/tax-code-regulations-and-official-guidance#irc
Link to the internal revenue code sections provide dry Cornell’s Legal Information Institute (accessible by clicking on one of the links on the IRS website): https://www.law.cornell.edu/uscode/text