Abstract: Automated classification of learner-generated text to identify behavior, emotion, and cognition indicators, collectively known as learning engagement classification (LEC), has received ...
Abstract: Natural language processing (NLP) has become somewhat well-known because of its many uses; deep neural networks have driven major developments. Still, there are difficulties, especially in ...
Hi Toolathlon team, thanks for creating this benchmark. I like that it focuses on real multi-step tool use instead of single-turn toy calls. I have been exploring a related idea from a different angle ...
This project turns raw text into TF‑IDF features (uni-grams + bi-grams) and trains a linear SVM. The baseline predicts the most frequent class; the tuned model captures discriminative terms across ...
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