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Sep 06, 2018
By amrith
Computation and Language

Upcycle Your OCR: Reusing OCRs for Post-OCR Text Correction in Romani…

We propose a post-OCR text correction approach for digitising texts in Romanised Sanskrit. Owing to the lack of resources our approach uses OCR model…
May 11, 2011
Human-Computer Interaction

In Search of Autocorrelation Based Vocal Cord Cues for Speaker Iden…

In this paper we investigate a technique to find out vocal source based features from the LP residual of speech signal for automatic speaker identifi…
Mar 13, 2019
Computer Vision
Computation and Language

Multimodal Emotion Classification

Most NLP and Computer Vision tasks are limited to scarcity of labelled data. In social media emotion classification and other related tasks, hashtags…
Aug 04, 2018
Optics

Collision-mediated radiation due to Airy-soliton interaction in non…

We study the interaction of a co-propagating finite energy Airy pulse and a soliton in a Kerr medium under third order dispersion. It is observed tha…
Jun 11, 2018
Computation and Language

WikiRef: Wikilinks as a route to recommending appropriate references …

The exponential increase in the usage of Wikipedia as a key source of scientific knowledge among the researchers is making it absolutely necessary to…
Mar 15, 2018
By jppanda
Fluid Dynamics

Experimental and numerical analysis of grid generated turbulence with…

This paper presents experimental and numerical analysis of grid generated turbulence with and without the effects of applied mean strain. We conduct …
Nov 17, 2018
Social and Information Networks
Computation and Language

Deep Dive into Anonymity: A Large Scale Analysis of Quora Questions

Anonymity forms an integral and important part of our digital life. It enables us to express our true selves without the fear of judgment. In this pa…
Feb 17, 2018
Computation and Language

Can Network Embedding of Distributional Thesaurus be Combined with Wo…

Distributed representations of words learned from text have proved to be successful in various natural language processing tasks in recent times. Whi…
May 09, 2017
Digital Libraries

Understanding the Impact of Early Citers on Long-Term Scientific Impa…

This paper explores an interesting new dimension to the challenging problem of predicting long-term scientific impact (LTSI) usually measured by the …
Jun 20, 2018
Social and Information Networks

Learning Emoji Embeddings using Emoji Co-occurrence Network Graph

Usage of emoji in social media platforms has seen a rapid increase over the last few years. Majority of the social media posts are laden with emoji a…
Jun 07, 2019
Computation and Language

In this paper, we present a novel straightforward method for estimating degrees of compositionality in noun phrases. The method is mixing hypernymy and distributional information of the noun phrases and their constituent words. To encode hypernymy i…

On the Compositionality Prediction of Noun Phrases using Poincaré E…

The compositionality degree of multiword expressions indicates to what extent the meaning of a phrase can be derived from the meaning of its constitu…
Sep 19, 2018
Computers and Society

Fuzzy Based Wellness Analyzer

Social health and emotional wellness is a matter of concern in today's urban world. Being the part of a metropolis has an effect on mental health thr…
Jun 27, 2019
By santara
Machine Learning

In this work we present a novel transfer guided exploration algorithm, ExTra, that uses prior knowledge from a related task in a related environment for improving the efficiency of exploration in RL. We demonstrate that our method achieves faster co…

ExTra: Transfer-guided Exploration

In this work we present a novel approach for transfer-guided exploration in reinforcement learning that is inspired by the human tendency to leverage…
Nov 20, 2018
Machine Learning
Computer Vision

A Semi-supervised Spatial Spectral Regularized Manifold Local Scaling…

Hyperspectral images (HSI) contain a wealth of information over hundreds of contiguous spectral bands, making it possible to classify materials throu…
Nov 14, 2017
Systems and Control

A Family of Constrained Adaptive filtering Algorithms Based on Loga…

This paper introduces a novel constraint adaptive filtering algorithm based on a relative logarithmic cost function which is termed as Constrained Le…
Sep 29, 2018
Machine Learning
Cryptography and Security

Adversarial Attacks and Defences: A Survey

Deep learning has emerged as a strong and efficient framework that can be applied to a broad spectrum of complex learning problems which were difficu…
Sep 03, 2018
Computer Vision

Convolutional Neural Networkfor Trajectory Prediction

Predicting trajectories of pedestrians is quintessential for autonomous robots which share the same environment with humans. In order to effectively …
Feb 15, 2018
By bidisha
Machine Learning

Designing Random Graph Models Using Variational Autoencoders With A…

Deep generative models have been praised for their ability to learn smooth latent representation of images, text, and audio, which can then be used t…
Jun 04, 2019
Computer Vision
Machine Learning

KarNet: An Efficient Boolean Function Simplifier

Many approaches such as Quine-McCluskey algorithm, Karnaugh map solving, Petrick's method and McBoole's method have been devised to simplify Boolean …
Jun 13, 2019
By bidisha
Computation and Language

Improved Sentiment Detection via Label Transfer from Monolingual to …

Multilingual writers and speakers often alternate between two languages in a single discourse, a practice called "code-switching". Existing sentiment…
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