Papers by Wiebke Loosen

GenGO

Omakase Read Later

Search

Papers by Wiebke Loosen

EACL

2021.eacl-demos

open-source framework
container architecture
machine learning component
sampling strategies
transformer-based embeddings
lightweight logistic regression model
ROC-AUC
classification costs
machine learning
classification

2021

Information Retrieval

1 papers

Forum 4.0: An Open-Source User Comment Analysis Framework (2021.eacl-demos)

Copied to clipboard

Marlo Haering, Jakob Smedegaard Andersen, Chris Biemann, Wiebke Loosen, Benjamin Milde, Tim Pietz, Christian Stöcker, Gregor Wiedemann, Olaf Zukunft, Walid Maalej

Information Retrieval

Challenge:	Using Forum 4.0, we analyze, aggregate, and visualize user comments based on labels defined by domain experts.
Approach:	They introduce an open-source framework to semi-automatically analyze, aggregate, and visualize user comments based on labels defined by domain experts.
Outcome:	The proposed framework can analyze, aggregate, and visualize user comments based on labels defined by domain experts.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations