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Christian Biemann

4 papers hereh-index 11626 citations35 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • eess.AS1
same name
  • Christian Biemann — 7 papers, h 3
  • Christian Biemann — 4 papers, h 4
  • Christian Biemann — 3 papers, h 3
  • Christian Biemann — 2 papers, h 3
  • Christian Biemann — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedHow Hateful are Movies? A Study and Prediction on Movie Subtitles

4 citations · 4 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CL2021★ 4 cited

How Hateful are Movies? A Study and Prediction on Movie Subtitles

Niklas von Boguszewski, Sana Moin, Anirban Bhowmick +2

In this research, we investigate techniques to detect hate speech in movies. We introduce a new dataset collected from the subtitles of six movies, where each utterance is annotate…

eess.AS2020

Improving Unsupervised Sparsespeech Acoustic Models with Categorical Reparameterization

Benjamin Milde, Chris Biemann

The Sparsespeech model is an unsupervised acoustic model that can generate discrete pseudo-labels for untranscribed speech. We extend the Sparsespeech model to allow for sampling o…

cs.CL2020

UHH-LT at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection

Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann

Fine-tuning of pre-trained transformer networks such as BERT yield state-of-the-art results for text classification tasks. Typically, fine-tuning is performed on task-specific trai…

cs.CL2020

Word Sense Disambiguation for 158 Languages using Word Embeddings Only

Varvara Logacheva, Denis Teslenko, Artem Shelmanov +7

Disambiguation of word senses in context is easy for humans, but is a major challenge for automatic approaches. Sophisticated supervised and knowledge-based models were developed t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.