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Found 6 papers, 2 papers with code
Stance Detection in German News Articles
Second, we leverage the dataset to tackle the supervised task of classifying the stance of a news article with regards to a debate question and provide baseline models as a reference for future work on stance detection in German news articles.
Interpretability for Morphological Inflection: from Character-level Predictions to Subword-level Rules
We apply our methodology to analyze the model{'}s decisions on three typologically-different languages and find that a) our pattern extraction method applied to cross-attention weights uncovers variation in form of inflection morphemes, b) pattern extraction from self-attention shows triggers for such variation, c) both types of patterns are closely aligned with grammar inflection classes and class assignment criteria, for all three languages.
Multilevel Text Normalization with Sequence-to-Sequence Networks and Multisource Learning
We show that our solution consistently improves on the current methods in all three steps.
Encoder-Decoder Methods for Text Normalization
Text normalization has been addressed with a variety of methods, most successfully with character-level statistical machine translation (CSMT).
Neural Sequence-to-sequence Learning of Internal Word Structure
Learning internal word structure has recently been recognized as an important step in various multilingual processing tasks and in theoretical language comparison.
A Comparison Between Morphological Complexity Measures: Typological Data vs. Language Corpora
Language complexity is an intriguing phenomenon argued to play an important role in both language learning and processing.
