Search Results for author:
Found 9 papers, 4 papers with code
EB-GAME: A Game-Changer in ECG Heartbeat Anomaly Detection
Cardiologists use electrocardiograms (ECG) for the detection of arrhythmias.
Towards Zero-Shot Functional Compositionality of Language Models
Large Pre-trained Language Models (PLM) have become the most desirable starting point in the field of NLP, as they have become remarkably good at solving many individual tasks.
Evaluating the Knowledge Dependency of Questions
They fail to evaluate the MCQ's ability to assess the student's knowledge of the corresponding target fact.
Automated Evaluation for Student Argumentative Writing: A Survey
This paper surveys and organizes research works in an under-studied area, which we call automated evaluation for student argumentative writing.
GRAM: Fast Fine-tuning of Pre-trained Language Models for Content-based Collaborative Filtering
To tackle this issue, we propose GRAM (GRadient Accumulation for Multi-modality in CCF), which exploits the fact that a given item often appears multiple times within a batch of interaction histories.
No Task Left Behind: Multi-Task Learning of Knowledge Tracing and Option Tracing for Better Student Assessment
One of the most common approach to student assessment is Knowledge Tracing (KT), which evaluates a student's knowledge state by predicting whether the student will answer a given question correctly or not.
Dialogue Summaries as Dialogue States (DS2), Template-Guided Summarization for Few-shot Dialogue State Tracking
In this paper, we hypothesize that dialogue summaries are essentially unstructured dialogue states; hence, we propose to reformulate dialogue state tracking as a dialogue summarization problem.
Abstractive Dialogue Summarization
Dialogue State Tracking
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Pedagogical Word Recommendation: A novel task and dataset on personalized vocabulary acquisition for L2 learners
When learning a second language (L2), one of the most important but tedious components that often demoralizes students with its ineffectiveness and inefficiency is vocabulary acquisition, or more simply put, memorizing words.
Consistency and Monotonicity Regularization for Neural Knowledge Tracing
Knowledge Tracing (KT), tracking a human's knowledge acquisition, is a central component in online learning and AI in Education.
