DSpace Home
→
BITS Faculty Publications
→
Department of Computer Science and Information Systems
→
Recent submissions

Department of Computer Science and Information Systems: Recent submissions

Now showing items 21-40 of 954

NLPHut’s Participation at WAT2021

Sharma, Yashvardhan (Association for Computational Linguistics, 2021)

This paper provides the description of shared tasks to the WAT 2021 by our team “NLPHut”. We have participated in the English→Hindi Multimodal translation task, English→Malayalam Multimodal translation task, and Indic ...
Visual Question-Answering System Using Integrated Models of Image Captioning and BERT

Sharma, Yashvardhan (Taylor & Francis, 2021)

Visual question and answering (VQA) is a task that involves taking input as an image and a natural question about it to generate output of an answer to that question. This is a multidisciplinary problem: it includes problems ...
Legal Text Classification and Summarization using Transformers and Joint Text Features

Sharma, Yashvardhan (CEUR-WS, 2021)

The spread of misinformation has become a severe issue affecting society. Inaccurate information has enormous potential to cause real-world impacts. Developing algorithms to detect fake news automatically will be very ...
Ensembling of Various Transformer Based Models for the Fake News Detection Task in the Urdu Language

Sharma, Yashvardhan; Chauhan, Gajendra Singh (CEUR-WS, 2021)

The spread of misinformation has become a severe issue affecting society. Inaccurate information has enormous potential to cause real-world impacts. Developing algorithms to detect fake news automatically will be very ...
AENeT: an attention-enabled neural architecture for fake news detection using contextual features

Sharma, Yashvardhan (Springer, 2021-08)

In the current era of social media, the popularity of smartphones and social media platforms has increased exponentially. Through these electronic media, fake news has been rising rapidly with the advent of new sources of ...
Fake News Detection: Experiments and Approaches Beyond Linguistic Features

Sharma, Yashvardhan (Springer, 2021-09)

Easier access to the Internet and social media has made disseminating information through online sources very easy. Sources like Facebook, Twitter, online news sites and blogs of self-proclaimed journalists have become ...
Applying TF-IDF and BERT-based Variants under Multilabel Classification for Emotion Detection in Urdu Language

Sharma, Yashvardhan (CEUR-WS, 2022)

Nowadays, the use of emojis is very common to show our emotions with just a single image instead of long sentences describing our emotions. Each emoji describes a particular emotion, such as anger, disgust, fear, sadness, ...
Anaphora Resolution from Social Media Text

Sharma, Yashvardhan (CEUR-WS, 2022)

Anaphora resolution for social media texts is essential yet difficult task for text understanding. An important characteristic of anaphora is that it creates a connection between the antecedent and the anaphor buried in ...
Hate Speech Detection in Marathi and Code-Mixed Languages using TF-IDF and Transformers-Based BERT-Variants

Sharma, Yashvardhan (CEUR-WS, 2022)

People now express their ideas on social media on a global scale. Online attacks against others can be made without fear of repercussions due to the increased sense of freedom provided by the anonymity feature, which ...
Surrogate-assisted distributed swarm optimisation for computationally expensive models

Sharma, Yashvardhan (Springer, 2023-08)

Evolutionary algorithms provide gradient-free optimisation which is beneficial for models that have difficulty in obtaining gradients; for instance, geoscientific landscape evolution models. However, such models are at ...
Comparative Analysis of Various Machine Learning Based Techniques for Predicting the Virality of Tweets

Sharma, Yashvardhan (IEEE, 2022)

Social media has become more popular, and people tend to read the news more often from it than traditional media. But all the information that is posted on the social media platform might not go viral. In this paper, we ...
Context-Based Question Answering System with Suggested Questions

Sharma, Yashvardhan (IEEE, 2022)

Question Answering and Question Generation are well-researched problems in the field of Natural Language Processing and Information Retrieval. This paper aims to demonstrate the use of novel transformer-based models like ...
A comprehensive framework and tool for supporting progressive learning of software development in an academic learning environment

Sharma, Yashvardhan (Wiley, 2021-09)

The use of technology-enabled environments to facilitate online education has increasingly gained importance to promote learning. Tools like learning management systems, virtual laboratory platforms, online monitoring, and ...
Explorative Application of Fusion Techniques for Multimodal Hate Speech Detection

Sharma, Yashvardhan (Springer, 2022)

Hate speech detection is an important research area owing to the severe effects of hate speech on the society. Hence automated hate speech detection based on textual data assumed a pivotal role among the research groups. ...
Comparative Analysis of Various Text Summarization Techniques via Leveraging Transformer Model for the Fake News Detection

Sharma, Yashvardhan; Chauhan, Gajendra Singh (CRC Press, 2022)

Today, the internet has come to be a necessary part of our lifestyle. The role of traditional information channels consisting of newspapers and televisions on how we acquire and consume news has to become much less prominent ...
Conversational Question Answering System using RASA Framework

Sharma, Yashvardhan (CRC Press, 2022)

Conversational question answering systems areaway ofhuman-computer interaction which integrates the automation into everyday life. Chatbots gained popularity because of their ease and simplicity, which helps the user to ...
BITS Pilani at HinglishEval: Quality Evaluation for Code-Mixed Hinglish Text Using Transformers

Sharma, Yashvardhan (Association for Computational Linguistics, 2022)

Code-Mixed text data consists of sentences having words or phrases from more than one language. Most multi-lingual communities worldwide communicate using multiple languages, with English usually one of them. Hinglish is ...
A Comparative Analysis of Transformer-Based Models for Document Visual Question Answering

Sharma, Yashvardhan (Springer, 2023-06)

Visual question answering (VQA) is one of the most exciting problems of computer vision and natural language processing tasks. It requires understanding and reasoning of the image to answer a human query. Text Visual ...
Domain-Specific Chatbot Development Using the Deep Learning-Based RASA Framework

Sharma, Yashvardhan (Springer, 2022-08)

Conversational agents are actively gaining popularity in research because of their ability to imitate human responses in almost every domain. As there are many research enhancements in deep learning models, it becomes ...
Multimodal Fake News Detection on Fakeddit Dataset Using Transformer-Based Architectures

Sharma, Yashvardhan; Chauhan, Gajendra Singh (Springer, 2023-01)

Real-time information is transforming due to technological advancements and widespread internet access. In our increasingly digital culture, fake news and misinformation are more common in journalism, news reporting, social ...

Now showing items 21-40 of 954

Search DSpace

Advanced Search

Browse

All of DSpace
This Collection
- By Issue Date
- Authors
- Titles
- Subjects

Recently added

Department of Computer Science and Information Systems: Recent submissions

Search DSpace

Browse

All of DSpace

This Collection

My Account