activity
20192024
most citedCross-language sentiment analysis of European Twitter messages duringthe COVID-19 pandemic

15 citations · 27 across the 8 of their papers we have counts for

collaborators

9 papers

cs.SI2024

A dataset of Open Source Intelligence (OSINT) Tweets about the Russo-Ukrainian war

Johannes Niu, Mila Stillman, Philipp Seeberger +1

Open Source Intelligence (OSINT) refers to intelligence efforts based on freely available data. It has become a frequent topic of conversation on social media, where private users…

cs.LG20243 cited

Towards detecting unanticipated bias in Large Language Models

Anna Kruspe

Over the last year, Large Language Models (LLMs) like ChatGPT have become widely available and have exhibited fairness issues similar to those in previous machine learning systems.…

cs.SD2024

More than words: Advancements and challenges in speech recognition for singing

Anna Kruspe

This paper addresses the challenges and advancements in speech recognition for singing, a domain distinctly different from standard speech recognition. Singing encompasses unique c…

cs.CV2023

Towards Large-scale Building Attribute Mapping using Crowdsourced Images: Scene Text Recognition on Flickr and Problems to be Solved

Yao Sun, Anna Kruspe, Liqiu Meng +4

Crowdsourced platforms provide huge amounts of street-view images that contain valuable building information. This work addresses the challenges in applying Scene Text Recognition…

cs.SI202015 cited

Cross-language sentiment analysis of European Twitter messages duringthe COVID-19 pandemic

Anna Kruspe, Matthias Häberle, Iona Kuhn +1

Social media data can be a very salient source of information during crises. User-generated messages provide a window into people's minds during such times, allowing us insights ab…

cs.CL2020

A simple method for domain adaptation of sentence embeddings

Anna Kruspe

Pre-trained sentence embeddings have been shown to be very useful for a variety of NLP tasks. Due to the fact that training such embeddings requires a large amount of data, they ar…