5 papers
Translation as Augmentation: Effect of Translated Data on Assessment of Difficulty
Yiheng Wu, Jue Hou, Roman Yangarber
Reliable Text Difficulty Assessment is a prerequisite for valid text simplification workflows and personalized learning applications. However, the development of robust assessment…
Implicit assessment of language learning during practice as accurate as explicit testing
Jue Hou, Anisia Katinskaia, Anh-Duc Vu +1
Assessment of proficiency of the learner is an essential part of Intelligent Tutoring Systems (ITS). We use Item Response Theory (IRT) in computer-aided language learning for asses…
What do Transformers Know about Government?
Jue Hou, Anisia Katinskaia, Lari Kotilainen +3
This paper investigates what insights about linguistic features and what knowledge about the structure of natural language can be obtained from the encodings in transformer languag…
Effects of sub-word segmentation on performance of transformer language models
Jue Hou, Anisia Katinskaia, Anh-Duc Vu +1
Language modeling is a fundamental task in natural language processing, which has been thoroughly explored with various architectures and hyperparameters. However, few studies focu…
Linguistic Constructs as the Representation of the Domain Model in an Intelligent Language Tutoring System
Anisia Katinskaia, Jue Hou, Anh-Duc Vu +1
This paper presents the development of an AI-based language learning platform Revita. It is a freely available intelligent online tutor, developed to support learners of multiple l…