Search Results for author: Ayushman Dash

Found 4 papers, 3 papers with code

One to rule them all: Towards Joint Indic Language Hate Speech Detection

no code implementations28 Sep 2021 Mehar Bhatia, Tenzin Singhay Bhotia, Akshat Agarwal, Prakash Ramesh, Shubham Gupta, Kumar Shridhar, Felix Laumann, Ayushman Dash

This paper is a contribution to the Hate Speech and Offensive Content Identification in Indo-European Languages (HASOC) 2021 shared task.

Hate Speech Detection

Indic-Transformers: An Analysis of Transformer Language Models for Indian Languages

1 code implementation4 Nov 2020 Kushal Jain, Adwait Deshpande, Kumar Shridhar, Felix Laumann, Ayushman Dash

Language models based on the Transformer architecture have achieved state-of-the-art performance on a wide range of NLP tasks such as text classification, question-answering, and token classification.

General Classification Language Modelling +5

Subword Semantic Hashing for Intent Classification on Small Datasets

3 code implementations16 Oct 2018 Kumar Shridhar, Ayushman Dash, Amit Sahu, Gustav Grund Pihlgren, Pedro Alonso, Vinaychandran Pondenkandath, Gyorgy Kovacs, Foteini Simistira, Marcus Liwicki

In this paper, we introduce the use of Semantic Hashing as embedding for the task of Intent Classification and achieve state-of-the-art performance on three frequently used benchmarks.

Chatbot General Classification +4

TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network

4 code implementations19 Mar 2017 Ayushman Dash, John Cristian Borges Gamboa, Sheraz Ahmed, Marcus Liwicki, Muhammad Zeshan Afzal

In this work, we present the Text Conditioned Auxiliary Classifier Generative Adversarial Network, (TAC-GAN) a text to image Generative Adversarial Network (GAN) for synthesizing images from their text descriptions.

Generative Adversarial Network MS-SSIM +1

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