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Efficient Reinforcement Learning for Unsupervised Controlled Text Generation
Bhargav Upadhyay, Akhilesh Sudhakar, Arjun Maheswaran
Controlled text generation tasks such as unsupervised text style transfer have increasingly adopted the use of Reinforcement Learning (RL). A major challenge in applying RL to such…
Transforming Delete, Retrieve, Generate Approach for Controlled Text Style Transfer
Akhilesh Sudhakar, Bhargav Upadhyay, Arjun Maheswaran
Text style transfer is the task of transferring the style of text having certain stylistic attributes, while preserving non-stylistic or content information. In this work we introd…
Learning cross-lingual phonological and orthagraphic adaptations: a case study in improving neural machine translation between low-resource languages
Saurav Jha, Akhilesh Sudhakar, Anil Kumar Singh
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 whi…
Multi Task Deep Morphological Analyzer: Context Aware Joint Morphological Tagging and Lemma Prediction
Saurav Jha, Akhilesh Sudhakar, Anil Kumar Singh
The ambiguities introduced by the recombination of morphemes constructing several possible inflections for a word makes the prediction of syntactic traits in Morphologically Rich L…
Ethical Questions in NLP Research: The (Mis)-Use of Forensic Linguistics
Anil Kumar Singh, Akhilesh Sudhakar
Ideas from forensic linguistics are now being used frequently in Natural Language Processing (NLP), using machine learning techniques. While the role of forensic linguistics was mo…