4 citations · 9 across the 12 of their papers we have counts for
14 papers
Towards Inter-character Relationship-driven Story Generation
Anvesh Rao Vijjini, Faeze Brahman, Snigdha Chaturvedi
In this paper, we introduce the task of modeling interpersonal relationships for story generation. For addressing this task, we propose Relationships as Latent Variables for Story…
A Syntax Aware BERT for Identifying Well-Formed Queries in a Curriculum Framework
Avinash Madasu, Anvesh Rao Vijjini
A well formed query is defined as a query which is formulated in the manner of an inquiry, and with correct interrogatives, spelling and grammar. While identifying well formed quer…
Analyzing Curriculum Learning for Sentiment Analysis along Task Difficulty, Pacing and Visualization Axes
Anvesh Rao Vijjini, Kaveri Anuranjana, Radhika Mamidi
While Curriculum Learning (CL) has recently gained traction in Natural language Processing Tasks, it is still not adequately analyzed. Previous works only show their effectiveness…
WER-BERT: Automatic WER Estimation with BERT in a Balanced Ordinal Classification Paradigm
Akshay Krishna Sheshadri, Anvesh Rao Vijjini, Sukhdeep Kharbanda
Automatic Speech Recognition (ASR) systems are evaluated using Word Error Rate (WER), which is calculated by comparing the number of errors between the ground truth and the transcr…
Sequential Domain Adaptation through Elastic Weight Consolidation for Sentiment Analysis
Avinash Madasu, Vijjini Anvesh Rao
Elastic Weight Consolidation (EWC) is a technique used in overcoming catastrophic forgetting between successive tasks trained on a neural network. We use this phenomenon of informa…
A Position Aware Decay Weighted Network for Aspect based Sentiment Analysis
Avinash Madasu, Vijjini Anvesh Rao
Aspect Based Sentiment Analysis (ABSA) is the task of identifying sentiment polarity of a text given another text segment or aspect. In ABSA, a text can have multiple sentiments de…
A SentiWordNet Strategy for Curriculum Learning in Sentiment Analysis
Vijjini Anvesh Rao, Kaveri Anuranjana, Radhika Mamidi
Curriculum Learning (CL) is the idea that learning on a training set sequenced or ordered in a manner where samples range from easy to difficult, results in an increment in perform…
Sequential Learning of Convolutional Features for Effective Text Classification
Avinash Madasu, Vijjini Anvesh Rao
Text classification has been one of the major problems in natural language processing. With the advent of deep learning, convolutional neural network (CNN) has been a popular solut…
Hindi Question Generation Using Dependency Structures
Kaveri Anuranjana, Vijjini Anvesh Rao, Radhika Mamidi
Hindi question answering systems suffer from a lack of data. To address the same, this paper presents an approach towards automatic question generation. We present a rule-based sys…
Gated Convolutional Neural Networks for Domain Adaptation
Avinash Madasu, Vijjini Anvesh Rao
Domain Adaptation explores the idea of how to maximize performance on a target domain, distinct from source domain, upon which the classifier was trained. This idea has been explor…
Effectiveness of Self Normalizing Neural Networks for Text Classification
Avinash Madasu, Vijjini Anvesh Rao
Self Normalizing Neural Networks(SNN) proposed on Feed Forward Neural Networks(FNN) outperform regular FNN architectures in various machine learning tasks. Particularly in the doma…
Towards Enhancing Lexical Resource and Using Sense-annotations of OntoSenseNet for Sentiment Analysis
Sreekavitha Parupalli, Vijjini Anvesh Rao, Radhika Mamidi
This paper illustrates the interface of the tool we developed for crowd sourcing and we explain the annotation procedure in detail. Our tool is named as 'Parupalli Padajaalam' whic…
BCSAT : A Benchmark Corpus for Sentiment Analysis in Telugu Using Word-level Annotations
Sreekavitha Parupalli, Vijjini Anvesh Rao, Radhika Mamidi
The presented work aims at generating a systematically annotated corpus that can support the enhancement of sentiment analysis tasks in Telugu using word-level sentiment annotation…
Towards Automation of Sense-type Identification of Verbs in OntoSenseNet(Telugu)
Sreekavitha Parupalli, Vijjini Anvesh Rao, Radhika Mamidi
In this paper, we discuss the enrichment of a manually developed resource of Telugu lexicon, OntoSenseNet. OntoSenseNet is a ontological sense annotated lexicon that marks each ver…