6 citations · 12 across the 20 of their papers we have counts for
6 papers · 1 filter
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…
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…
'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…
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…
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…
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…