Search Results for author: Anandhavelu Natarajan

Found 5 papers, 2 papers with code

An Integrated Approach for Improving Brand Consistency of Web Content: Modeling, Analysis and Recommendation

1 code implementation19 Nov 2020 Soumyadeep Roy, Shamik Sural, Niyati Chhaya, Anandhavelu Natarajan, Niloy Ganguly

A consumer-dependent (business-to-consumer) organization tends to present itself as possessing a set of human qualities, which is termed as the brand personality of the company.

Marketing Sentence

Multi-Style Transfer with Discriminative Feedback on Disjoint Corpus

no code implementations NAACL 2021 Navita Goyal, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Abhilasha Sancheti

Style transfer has been widely explored in natural language generation with non-parallel corpus by directly or indirectly extracting a notion of style from source and target domain corpus.

Language Modelling Style Transfer +1

Reinforced Rewards Framework for Text Style Transfer

no code implementations11 May 2020 Abhilasha Sancheti, Kundan Krishna, Balaji Vasan Srinivasan, Anandhavelu Natarajan

Style transfer deals with the algorithms to transfer the stylistic properties of a piece of text into that of another while ensuring that the core content is preserved.

Style Transfer Text Style Transfer

Adapting Language Models for Non-Parallel Author-Stylized Rewriting

no code implementations22 Sep 2019 Bakhtiyar Syed, Gaurav Verma, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Vasudeva Varma

Given the recent progress in language modeling using Transformer-based neural models and an active interest in generating stylized text, we present an approach to leverage the generalization capabilities of a language model to rewrite an input text in a target author's style.

Denoising Language Modelling

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