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Found 13 papers, 6 papers with code
Multi-Relational Graph Transformer for Automatic Short Answer Grading
A Graph Transformer is used to prepare relation-specific token embeddings within each subgraph, then aggregated to obtain a subgraph representation.
Coherence and Diversity through Noise: Self-Supervised Paraphrase Generation via Structure-Aware Denoising
This allows for learning a denoising function that operates over both aspects and produces semantically equivalent and syntactically diverse outputs through grounded noise injection.
Unsupervised Question Duplicate and Related Questions Detection in e-learning platforms
The repository of questions has to be constantly updated to ensure a diverse pool of questions to conduct assessments for learners.
TagRec++: Hierarchical Label Aware Attention Network for Question Categorization
Online learning systems have multiple data repositories in the form of transcripts, books and questions.
'John ate 5 apples' != 'John ate some apples': Self-Supervised Paraphrase Quality Detection for Algebraic Word Problems
There is a need for paraphrase scoring methods in the context of AWP to enable the training of good paraphrasers.
Obj2Sub: Unsupervised Conversion of Objective to Subjective Questions
Exams are conducted to test the learner's understanding of the subject.
K-12BERT: BERT for K-12 education
However, there has not been a model specifically adapted for the education domain (particularly K-12) across subjects to the best of our knowledge.
Auxiliary Task Guided Interactive Attention Model for Question Difficulty Prediction
Hence we soft label another dataset with a model fine-tuned to predict Bloom's labels to demonstrate the applicability of our method to datasets with only difficulty labels.
Topic Aware Contextualized Embeddings for High Quality Phrase Extraction
The salient phrases are extracted using a ranking algorithm on an undirected graph constructed for the given document.
BeautifAI -- A Personalised Occasion-oriented Makeup Recommendation System
The proposed work's novel contributions, including the incorporation of occasion context, region-wise makeup recommendation, real-time makeup previews and continuous makeup feedback, set our system apart from the current work in makeup recommendation.
TagRec: Automated Tagging of Questions with Hierarchical Learning Taxonomy
The loss function maximizes the similarity between the question-answer pair and the correct label representations and minimizes the similarity to unrelated labels.
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Question-Answer categorization
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Multi-class Classification
Question-Answer categorization
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Towards a Predictive Patent Analytics and Evaluation Platform
The importance of patents is well recognised across many regions of the world.
Document Chunking and Learning Objective Generation for Instruction Design
Instructional Systems Design is the practice of creating of instructional experiences that make the acquisition of knowledge and skill more efficient, effective, and appealing.
