Counterfactual data augmentation for mitigating gender stereotypes in languages with rich morphology
R Zmigrod, SJ Mielke, H Wallach, R Cotterell - ar** contextsensitive lemmatizers is to improve performance
on unseen and ambiguous words. Yet previous systems have not carefully evaluated …
on unseen and ambiguous words. Yet previous systems have not carefully evaluated …
A survey on syntactic processing techniques
Computational syntactic processing is a fundamental technique in natural language
processing. It normally serves as a pre-processing method to transform natural language …
processing. It normally serves as a pre-processing method to transform natural language …
[PDF][PDF] MED: The LMU system for the SIGMORPHON 2016 shared task on morphological reinflection
This paper presents MED, the main system of the LMU team for the SIGMORPHON 2016
Shared Task on Morphological Reinflection as well as an extended analysis of how different …
Shared Task on Morphological Reinflection as well as an extended analysis of how different …
Universal Lemmatizer: A sequence-to-sequence model for lemmatizing Universal Dependencies treebanks
In this paper, we present a novel lemmatization method based on a sequence-to-sequence
neural network architecture and morphosyntactic context representation. In the proposed …
neural network architecture and morphosyntactic context representation. In the proposed …
Cross-lingual, character-level neural morphological tagging
Even for common NLP tasks, sufficient supervision is not available in many languages--
morphological tagging is no exception. In the work presented here, we explore a transfer …
morphological tagging is no exception. In the work presented here, we explore a transfer …