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Name: RMIT CIDDA IR Group
Type: Organization
Bio: information retrieval, text analytics, data science
Twitter: rmit_cidda
Location: Melbourne, Australia
Blog: rmit.edu.au/cidda
Name: RMIT CIDDA IR Group
Type: Organization
Bio: information retrieval, text analytics, data science
Twitter: rmit_cidda
Location: Melbourne, Australia
Blog: rmit.edu.au/cidda
Active Learning for Entity Filtering in Microblog Streams
Professionally-researched questions and answers from answerbag.com
Code/data for SIGIR '18 paper "Ranking Documents by Answer-Passage Quality"
Code to Reproduce SIGIR 2020 paper Bayesian Inferential Risk Evaluation On Multiple IR Systems
SIGDIAL 2018 Special Session on Conversational Approaches to Information Search, Retrieval, and Presentation
Experiments on using clustered UQVs to improve efficiency and effectiveness of online rank fusion.
Dataset and experiments from the CIKM 2020 Resource Track
Dataset release to accompany the CLEF 2019 paper titled "Using Audio Transformations to Improve Comprehension in Voice Question Answering" by Aleksandr Chuklin, Aliaksei Severyn, Johanne R. Trippas, Enrique Alfonseca, Hanna Silen, and Damiano Spina
Overview of datasets and venues relevant for conversational search.
CIDDA Research Day
Repository with datasets used in the papers: "Crowdsourcing Truthfulness: The Impact of Judgment Scale and Assessor Bias" (ECIR'20) and "Can The Crowd Identify Misinformation Objectively? The Effects of Judgment Scale and Assessor's Background" (SIGIR'20)
Data and code used in the CIKM’23 paper “Designing and Evaluating Presentation Strategies for Fact-Checked Content”
Evaluating Fairness in Argument Retrieval
Corrected runs for TREC 2021 Fair Ranking Track (RMIT-IR)
CIDDA RMIT IR participation at the NTCIR FairWeb-1 task
A large scale feature extraction tool for text-based machine learning
User Study Materials
A collection of backstories for job search scenarios.
Joint Optimization of Cascade Ranking Models (WSDM 19)
Python binding to the KrovetzStemmer package (C++ version)
Data, code and results used for the SIGIR'14 "Learning Similarity Functions for Topic Detection in Online Reputation Monitoring" by Damiano Spina, Julio Gonzalo and Enrique Amigó
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
Fork of Microsoft/LightGBM to include support for the CEGB (Cost Efficient Gradient Boosting) algorithm. Original repository at https://github.com/Microsoft/LightGBM
Code repo for the SIGIR '17 paper "Efficient Cost-Aware Cascade Ranking for Multi-Stage Retrieval"
Reproduce the 2017 We Want Web track at NTCIR 13
Repository for RMIT participation at the "Profiling Fake News Spreaders on Twitter" at PAN @ CLEF 2020
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.