Papers by Andreas Blombach

3 papers
A Corpus of German Reddit Exchanges (GeRedE) (2020.lrec-1)

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Challenge: Reddit is a popular online platform combining social news aggregation, discussion and microblogging.
Approach: They propose a method to filter out German data and further pre-processing steps to find out what is linguistically peculiar in the German data.
Outcome: The proposed method filters out German data and includes metadata and annotation layers.
EmpiriST Corpus 2.0: Adding Manual Normalization, Lemmatization and Semantic Tagging to a German Web and CMC Corpus (2020.lrec-1)

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Challenge: EmpiriST corpus is a manually tokenized and part-of-speech tagged corpus of German web and CMC data.
Approach: They extend the corpus with manually tokenized annotation layers for word form normalization, lemmatization and lexical semantics.
Outcome: The EmpiriST corpus is a manually tokenized and part-of-speech tagged corpus of German web and CMC data.
Automatic Identification of COVID-19-Related Conspiracy Narratives in German Telegram Channels and Chats (2024.lrec-main)

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Challenge: Existing methods to identify and track conspiracy narratives are difficult to track and use because of their short-lived nature.
Approach: They analysed 1,000 German Telegram posts tagged with 14 fine-grained conspiracy narrative labels by three independent annotators.
Outcome: The proposed methods compare well with off-the-shelf methods and human performance.

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