Search Results for author: Hrituraj Singh

Found 7 papers, 0 papers with code

SemIE: Semantically-aware Image Extrapolation

no code implementations ICCV 2021 Bholeshwar Khurana, Soumya Ranjan Dash, Abhishek Bhatia, Aniruddha Mahapatra, Hrituraj Singh, Kuldeep Kulkarni

The, thus, obtained segmentation map is fed into a network to compute the extrapolated semantic segmentation and the corresponding panoptic segmentation maps.

Panoptic Segmentation

DRAG: Director-Generator Language Modelling Framework for Non-Parallel Author Stylized Rewriting

no code implementations EACL 2021 Hrituraj Singh, Gaurav Verma, Aparna Garimella, Balaji Vasan Srinivasan

In this paper, we propose a Director-Generator framework to rewrite content in the target author's style, specifically focusing on certain target attributes.

Denoising Language Modelling

Incorporating Stylistic Lexical Preferences in Generative Language Models

no code implementations Findings of the Association for Computational Linguistics 2020 Hrituraj Singh, Gaurav Verma, Balaji Vasan Srinivasan

While recent advances in language modeling have resulted in powerful generation models, their generation style remains implicitly dependent on the training data and can not emulate a specific target style.

Language Modelling reinforcement Learning

Exploring Neural Models for Parsing Natural Language into First-Order Logic

no code implementations16 Feb 2020 Hrituraj Singh, Milan Aggrawal, Balaji Krishnamurthy

We model FOL parsing as a sequence to sequence mapping task where given a natural language sentence, it is encoded into an intermediate representation using an LSTM followed by a decoder which sequentially generates the predicates in the corresponding FOL formula.

Semantic Parsing

Generating summaries tailored to target characteristics

no code implementations18 Dec 2019 Kushal Chawla, Hrituraj Singh, Arijit Pramanik, Mithlesh Kumar, Balaji Vasan Srinivasan

Recently, research efforts have gained pace to cater to varied user preferences while generating text summaries.

Text Summarization

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