Praneet9/Representation-Learning-for-Information-Extraction
Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.
PythonApache-2.0
Issues
- 0
package installation error
#41 opened by Lalit-Mali0 - 0
- 2
how to work on address candidates?
#39 opened by panwar2001 - 6
Candidate Selection
#23 opened by bradfox2 - 1
Provide loss function (FocalLoss)
#38 opened by hienpham15 - 7
- 1
Need sample prepared training data
#34 opened by vishal-nayak1 - 5
Candidates directory
#24 opened by darsh169 - 1
About the dimension projection
#33 opened by shaonanqinghuaizongshishi - 1
proof of concept
#29 opened by darsh169 - 3
Request to help in sorting out an error
#28 opened by imgarvit - 1
Inference.py
#31 opened by shahurvi84 - 1
STEP 3: Extract Candidates.py
#32 opened by wijayawilly - 11
- 0
neighbor padding
#3 opened by CS-savvy - 1
- 0
Add requirement.txt to repo
#7 opened by Praneet9 - 0
Replace CoreNLP with Spacy for NER
#8 opened by Praneet9 - 0
Add inference example and guide in Readme
#9 opened by Praneet9 - 0
Preprare trainval split files and alignments
#13 opened by CS-savvy - 2
Create docker file for easier setup/deployment
#10 opened by Praneet9 - 1
Add Data loader to pipeline
#5 opened by CS-savvy - 0
Add word Embedding
#1 opened by CS-savvy - 0
positional embedding
#2 opened by CS-savvy - 0
self - Attention in neighbor embedding
#4 opened by CS-savvy