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Chris Biemann

Modern Baselines for SPARQL Semantic Parsing

Debayan Banerjee , Pranav Ajit Nair , Jivat Neet Kaur , Ricardo Usbeck , Chris Biemann

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* 5 pages, short paper, SIGIR 2022

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Language Models Explain Word Reading Times Better Than Empirical Predictability

Markus J. Hofmann , Steffen Remus , Chris Biemann , Ralph Radach , Lars Kuchinke

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* Frontiers in Artificial Intelligence, 4(730570), 1-20 (2022)

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

Niklas von Boguszewski , Sana Moin , Anirban Bhowmick , Seid Muhie Yimam , Chris Biemann

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HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection

Binny Mathew , Punyajoy Saha , Seid Muhie Yimam , Chris Biemann , Pawan Goyal , Animesh Mukherjee

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* 12 pages, 7 figues, 8 tables. Accepted at AAAI 2021

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Social Media Unrest Prediction during the {COVID}-19 Pandemic: Neural Implicit Motive Pattern Recognition as Psychometric Signs of Severe Crises

Dirk Johannßen , Chris Biemann

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* Proceedings of the Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotion's in Social Media. Barcelona, Spain (Online). 2020
* 8 pages

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Introducing various Semantic Models for Amharic: Experimentation and Evaluation with multiple Tasks and Datasets

Seid Muhie Yimam , Abinew Ali Ayele , Gopalakrishnan Venkatesh , Chris Biemann

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Individual corpora predict fast memory retrieval during reading

Markus J. Hofmann , Lara Müller , Andre Rölke , Ralph Radach , Chris Biemann

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* Proceedings of the 6th workshop on Cognitive Aspects of the Lexicon (CogALex-VI), Barcelona, Spain, December 12, 2020; accepted manuscript; 11 pages, 2 figures, 4 Tables

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Neural Entity Linking: A Survey of Models based on Deep Learning

Ozge Sevgili , Artem Shelmanov , Mikhail Arkhipov , Alexander Panchenko , Chris Biemann

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Improving Unsupervised Sparsespeech Acoustic Models with Categorical Reparameterization

Benjamin Milde , Chris Biemann

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