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Johannes Hellrich's Projects

hellrich_coling2016 icon hellrich_coling2016

Code for experiments in Hellrich & Hahn: "Bad Company - Neighborhoods in Neural Embedding Spaces Considered Harmful", COLING 2016.

hellrich_dh2016 icon hellrich_dh2016

Johannes Hellrich & Udo Hahn (2016): Measuring the Dynamics of Lexico-Semantic Change Since the German Romantic Period. Digital Humanities 2016

hellrich_dh2017 icon hellrich_dh2017

Johannes Hellrich & Udo Hahn (2017): Don't Get Fooled by Word Embeddings-Better Watch their Neighborhood. Digital Humanities 2017.

hellrich_latech2016 icon hellrich_latech2016

Johannes Hellrich & Udo Hahn (2016): An Assessment of Experimental Protocols for Tracing Changes in Word Semantics Relative to Accuracy and Reliability. LaTeCH @ ACL 2016.

hyperwords icon hyperwords

Modified version of Omar Levy's hyperwords word embedding tool, allows for weighted downsampling as well as resource friendly training of models.

jeseme icon jeseme

The Jena Semantic Explorer website (and processing pipeline), one of the main contributions in my Ph.D. thesis. See also Hellrich et al.: "JeSemE: A Website for Exploring Diachronic Changes in Word Meaning and Emotion", COLING 2018

jufit icon jufit

Jena UMLS Filter - filters and enhances UMLS Files

mallet icon mallet

MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.

metal_lyric_topic_modeling icon metal_lyric_topic_modeling

Code and topic models for experiments in Hellrich & Rzymski (2019): Computational Detection of Medieval References in Metal. In: Barratt-Peacock & Hagen (Eds.): Medievalism and Metal Music Studies: Throwing Down the Gauntlet. Emerald.

precision_medicine_dl_classifier icon precision_medicine_dl_classifier

Document classification experiments on TREC precision medicine data. Adaption of a state-of-the-art deep learning algorithm with additional structured features.

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