12 citations · 31 across the 18 of their papers we have counts for
7 papers · 1 filter
How to Build Robust FAQ Chatbot with Controllable Question Generator?
Yan Pan, Mingyang Ma, Bernhard Pflugfelder +1
Many unanswerable adversarial questions fool the question-answer (QA) system with some plausible answers. Building a robust, frequently asked questions (FAQ) chatbot needs a large…
End-to-End Annotator Bias Approximation on Crowdsourced Single-Label Sentiment Analysis
Gerhard Johann Hagerer, David Szabo, Andreas Koch +5
Sentiment analysis is often a crowdsourcing task prone to subjective labels given by many annotators. It is not yet fully understood how the annotation bias of each annotator can b…
A Case Study and Qualitative Analysis of Simple Cross-Lingual Opinion Mining
Gerhard Johann Hagerer, Wing Sheung Leung, Qiaoxi Liu +2
User-generated content from social media is produced in many languages, making it technically challenging to compare the discussed themes from one domain across different cultures…
SocialVisTUM: An Interactive Visualization Toolkit for Correlated Neural Topic Models on Social Media Opinion Mining
Gerhard Johann Hagerer, Martin Kirchhoff, Hannah Danner +5
Recent research in opinion mining proposed word embedding-based topic modeling methods that provide superior coherence compared to traditional topic modeling. In this paper, we dem…
Introducing an Abusive Language Classification Framework for Telegram to Investigate the German Hater Community
Maximilian Wich, Adrian Gorniak, Tobias Eder +3
Since traditional social media platforms continue to ban actors spreading hate speech or other forms of abusive languages (a process known as deplatforming), these actors migrate t…
GraphTMT: Unsupervised Graph-based Topic Modeling from Video Transcripts
Lukas Stappen, Jason Thies, Gerhard Hagerer +2
To unfold the tremendous amount of multimedia data uploaded daily to social media platforms, effective topic modeling techniques are needed. Existing work tends to apply topic mode…
Sequence Labeling: A Practical Approach
Adnan Akhundov, Dietrich Trautmann, Georg Groh
We take a practical approach to solving sequence labeling problem assuming unavailability of domain expertise and scarcity of informational and computational resources. To this end…