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Found 9 papers, 4 papers with code
Efficient Reinforcement Learning for Unsupervised Controlled Text Generation
A major challenge in applying RL to such tasks is the sparse reward, which is available only after the full text is generated.
``Transforming'' Delete, Retrieve, Generate Approach for Controlled Text Style Transfer
Text style transfer is the task of transferring the style of text having certain stylistic attributes, while preserving non-stylistic or content information.
Transforming Delete, Retrieve, Generate Approach for Controlled Text Style Transfer
Text style transfer is the task of transferring the style of text having certain stylistic attributes, while preserving non-stylistic or content information.
Learning cross-lingual phonological and orthagraphic adaptations: a case study in improving neural machine translation between low-resource languages
Out-of-vocabulary (OOV) words can pose serious challenges for machine translation (MT) tasks, and in particular, for low-resource language (LRL) pairs, i. e., language pairs for which few or no parallel corpora exist.
Multi Task Deep Morphological Analyzer: Context Aware Joint Morphological Tagging and Lemma Prediction
The ambiguities introduced by the recombination of morphemes constructing several possible inflections for a word makes the prediction of syntactic traits in Morphologically Rich Languages (MRLs) a notoriously complicated task.
Ethical Questions in NLP Research: The (Mis)-Use of Forensic Linguistics
Ideas from forensic linguistics are now being used frequently in Natural Language Processing (NLP), using machine learning techniques.
