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Found 6 papers, 0 papers with code
Controlling Cloze-test Question Item Difficulty with PLM-based Surrogate Models for IRT Assessment
Item difficulty plays a crucial role in adaptive testing.
InDEX: Indonesian Idiom and Expression Dataset for Cloze Test
While for fixed expressions with no special meaning, static embedding with random initialization is sufficient for cloze test model.
Tapping the Potential of Coherence and Syntactic Features in Neural Models for Automatic Essay Scoring
In this paper, we propose a novel approach to extract and represent essay coherence features with prompt-learning NSP that shows to match the state-of-the-art AES coherence model, and achieves the best performance for long essays.
Yunshan Cup 2020: Overview of the Part-of-Speech Tagging Task for Low-resourced Languages
The Yunshan Cup 2020 track focused on creating a framework for evaluating different methods of part-of-speech (POS).
Learning Syntactic Dense Embedding with Correlation Graph for Automatic Readability Assessment
Deep learning models for automatic readability assessment generally discard linguistic features traditionally used in machine learning models for the task.
Learning Indonesian-Chinese Lexicon with Bilingual Word Embedding Models and Monolingual Signals
We present a research on learning Indonesian-Chinese bilingual lexicon using monolingual word embedding and bilingual seed lexicons to build shared bilingual word embedding space.
