activity
20182023
most citedTowards a Predictive Patent Analytics and Evaluation Platform

3 citations · 6 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CL2023

Coherence and Diversity through Noise: Self-Supervised Paraphrase Generation via Structure-Aware Denoising

Rishabh Gupta, Venktesh V., Mukesh Mohania +1

In this paper, we propose SCANING, an unsupervised framework for paraphrasing via controlled noise injection. We focus on the novel task of paraphrasing algebraic word problems hav…

cs.CL2022

Unsupervised Question Duplicate and Related Questions Detection in e-learning platforms

Maksimjeet Chowdhary, Sanyam Goyal, Venktesh V +2

Online learning platforms provide diverse questions to gauge the learners' understanding of different concepts. The repository of questions has to be constantly updated to ensure a…

cs.CL2022★ 1 cited

TagRec++: Hierarchical Label Aware Attention Network for Question Categorization

Venktesh Viswanathan, Mukesh Mohania, Vikram Goyal

Online learning systems have multiple data repositories in the form of transcripts, books and questions. To enable ease of access, such systems organize the content according to a…

cs.CY2022

Auxiliary Task Guided Interactive Attention Model for Question Difficulty Prediction

Venktesh V, Md. Shad Akhtar, Mukesh Mohania +1

Online learning platforms conduct exams to evaluate the learners in a monotonous way, where the questions in the database may be classified into Bloom's Taxonomy as varying levels…

cs.CL2022

'John ate 5 apples' != 'John ate some apples': Self-Supervised Paraphrase Quality Detection for Algebraic Word Problems

Rishabh Gupta, Venktesh V, Mukesh Mohania +1

This paper introduces the novel task of scoring paraphrases for Algebraic Word Problems (AWP) and presents a self-supervised method for doing so. In the current online pedagogical…

cs.CL2022

Obj2Sub: Unsupervised Conversion of Objective to Subjective Questions

Aarish Chhabra, Nandini Bansal, Venktesh V +2

Exams are conducted to test the learner's understanding of the subject. To prevent the learners from guessing or exchanging solutions, the mode of tests administered must have suff…

cs.CL2022

K-12BERT: BERT for K-12 education

Vasu Goel, Dhruv Sahnan, Venktesh V +3

Online education platforms are powered by various NLP pipelines, which utilize models like BERT to aid in content curation. Since the inception of the pre-trained language models l…

cs.IR2022

Topic Aware Contextualized Embeddings for High Quality Phrase Extraction

Venktesh V, Mukesh Mohania, Vikram Goyal

Keyphrase extraction from a given document is the task of automatically extracting salient phrases that best describe the document. This paper proposes a novel unsupervised graph-b…

cs.IR2021

BeautifAI -- A Personalised Occasion-oriented Makeup Recommendation System

Kshitij Gulati, Gaurav Verma, Mukesh Mohania +1

With the global metamorphosis of the beauty industry and the rising demand for beauty products worldwide, the need for an efficacious makeup recommendation system has never been mo…

cs.CL2021

TagRec: Automated Tagging of Questions with Hierarchical Learning Taxonomy

Venktesh V, Mukesh Mohania, Vikram Goyal

Online educational platforms organize academic questions based on a hierarchical learning taxonomy (subject-chapter-topic). Automatically tagging new questions with existing taxono…

cs.DL2019★ 3 cited

Towards a Predictive Patent Analytics and Evaluation Platform

Nebula Alam, Khoi-Nguyen Tran, Sue Ann Chen +3

The importance of patents is well recognised across many regions of the world. Many patent mining systems have been proposed, but with limited predictive capabilities. In this demo…

cs.CL2018★ 2 cited

Document Chunking and Learning Objective Generation for Instruction Design

Khoi-Nguyen Tran, Jey Han Lau, Danish Contractor +4

Instructional Systems Design is the practice of creating of instructional experiences that make the acquisition of knowledge and skill more efficient, effective, and appealing. Spe…