Name: Congcong Wang
Type: User
Company: UCD
Bio: Ph.D Graduate@UCD, Crisis on Social Media, NLP, Machine Learning, IR
Location: Dublin, Ireland
Blog: https://wangcongcong123.github.io
Congcong Wang's Projects
Algorithm Problems I solved... as a hobby
This is code of tutorial on "Run AllenNLP on Windows"
A Lucene toolkit for replicable information retrieval research
Anserini notebooks
A basic and simple tool for code auto completion
This is a Java-based library book borrowing website for the 6th "China Software Cup". The project is co-worked with starpxy (https://github.com/starpxy) and hesterzmy(https://github.com/hesterzmy)
Mapping a variable-length sentence to a fixed-length vector using BERT model
Source code for CAST - Crisis Domain Adaptation Using Sequence-to-sequence Transformers (Accepted to ISCRAM 2021, CorePaper).
Repository for coursera specialization Applied Data Science with Python by University of Michigan
This repository provdes a retrieval system for searching covid-19 relevant papers, built upon CORD19 dataset
Source code for Transformer-based Multi-task Learning for Disaster Tweet Categorisation (UCD's participation in TREC-IS 2020A, 2020B and 2021A).
A repository for tracking resources related to computational linguistical techniques for emergency response.
Annotated corpus and code for "Extracting COVID-19 Events from Twitter".
This is a repository for automating updates of rss feeds to your platform (receiver).
Flops counter for convolutional networks in pytorch framework
Python Data. Leaflet.js Maps.
A web app: Retrieving contents within a site
:books: ζζ―ι’θ―ιθ¦ζζ‘ηεΊη‘η₯θ―ζ΄η
An Introduction to Deep Generative Modeling: Examples
Machine Learning Package for Text Classification
A pytorch MLP implementation for playing around with sklearn-like CSV datasets
The code for "Using Pseudo-Labelled Data for Zero-Shot Text Classification"
This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"
Example code for "Real-World Natural Language Processing"
Real-time Summarization Track