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[2022-10-27] 오늘의 자연어처리 Learning to Reuse Distractors to support Multiple Choice Question Generation in Education Multiple choice questions (MCQs) are widely used in digital learning systems, as they allow for automating the assessment process. However, due to the increased digital literacy of students and the advent of social media platforms, MCQ tests are widely shared online, and teachers are continuously challenged.. 2022. 10. 27.
[2022-10-26] 오늘의 자연어처리 Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Delta Tuning Delta tuning (DET, also known as parameter-efficient tuning) is deemed as the new paradigm for using pre-trained language models (PLMs). Up to now, various DETs with distinct design elements have been proposed, achieving performance on par with fine-tuning. However, the mechanisms behind the above.. 2022. 10. 26.
[2022-10-25] 오늘의 자연어처리 Audio-to-Intent Using Acoustic-Textual Subword Representations from End-to-End ASR Accurate prediction of the user intent to interact with a voice assistant (VA) on a device (e.g. on the phone) is critical for achieving naturalistic, engaging, and privacy-centric interactions with the VA. To this end, we present a novel approach to predict the user's intent (the user speaking to the device or no.. 2022. 10. 25.
[2022-10-24] 오늘의 자연어처리 Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages Hate speech is a global phenomenon, but most hate speech datasets so far focus on English-language content. This hinders the development of more effective hate speech detection models in hundreds of languages spoken by billions across the world. More data is needed, but annotating hateful content is expe.. 2022. 10. 24.
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