mnguyenngo/archi
NLP and Knowledge Graphs for architects, engineers, and contractors
JavaScriptApache-2.0
Issues
- 0
Start JSON database for raw data
#91 opened - 0
Add AISC data
#89 opened - 0
add NDS data
#88 opened - 0
add ACI 318 data
#87 opened - 1
update README
#84 opened - 1
add wikidata link to component page
#80 opened - 1
- 1
clean up components
#75 opened - 1
add component page
#72 opened - 1
separate results in two columns
#71 opened - 1
style user query in card
#70 opened - 1
make title link to home
#69 opened - 1
startup script
#67 opened - 1
- 1
- 1
Remove duplicates from mongo collection
#62 opened - 1
page for each component
#57 opened - 1
page for each provision
#56 opened - 1
render user query
#55 opened - 0
deploy on aws
#51 opened - 1
update readme
#49 opened - 1
parse section numbers
#48 opened - 1
extract section and chapter
#47 opened - 1
- 1
test wikidata api
#43 opened - 1
expand json object
#42 opened - 1
compare query to first sentence only
#41 opened - 1
clean up variable names
#39 opened - 1
separate each provision to cards
#38 opened - 1
dependency parsing on the app
#37 opened - 0
predictions in app
#35 opened - 1
predict method for Archi
#31 opened - 1
- 0
Method to create basic knowledge graphs
#29 opened - 0
get subject of each provision
#27 opened - 0
Train spacy-lg on modified NER data
#23 opened - 1
web app v0
#21 opened - 0
Train 'en_core_web_lg' spacy model
#20 opened - 1
Reformat existing NER data
#19 opened - 0
NER train pipeline
#16 opened - 1
collect ner data
#15 opened - 0
random sample from dataframe
#13 opened - 0
eda: entity recognition
#11 opened - 1
initial dependency parsing
#7 opened - 0
entity training pipeline
#6 opened - 0
extract keywords
#4 opened - 0
part of speech tagging
#3 opened - 1
- 0
experiment with nltk and gensim
#1 opened