Papers with CALL
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers (2023.findings-eacl)
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| Challenge: | Recent studies show that pre-trained language models (PLMs) often predict over-confidently. |
| Approach: | They propose to use ensemble learning and data augmentation to improve confidence calibration for PLMs by combining calibration techniques with a trade-off between accuracy and classification. |
| Outcome: | The proposed calibration method improves classification accuracy and confidence in pre-trained language models by combining several calibration techniques. |
Using the LARA Little Prince to compare human and TTS audio quality (2022.lrec-1)
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Elham Akhlaghi, Ingibjörg Iða Auðunardóttir, Anna Bączkowska, Branislav Bédi, Hakeem Beedar, Harald Berthelsen, Cathy Chua, Catia Cucchiarin, Hanieh Habibi, Ivana Horváthová, Junta Ikeda, Christèle Maizonniaux, Neasa Ní Chiaráin, Chadi Raheb, Manny Rayner, John Sloan, Nikos Tsourakis, Chunlin Yao
| Challenge: | A popular idea in Computer Assisted Language Learning (CALL) is to use multimodal annotated texts to support reading. |
| Approach: | They propose to use an open source platform to create good quality audio for L2 learning . they use four passages from LARA versions of Saint-Exupèry’s “Le petit prince” to instantiate the 2x2 cross product of dialogue, not-dialogue and humour, not humor. |
| Outcome: | The proposed method is based on a web form and ten languages. |
Towards Computational Resource Grammars for Runyankore and Rukiga (2020.lrec-1)
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| Challenge: | In this paper, we present computational resource grammars of Runyankore and Rukiga languages . runyankores and rukiga are under-resourced Bantu languages spoken by 6 million people . |
| Approach: | They present computational resource grammars for Runyankore and Rukiga languages . they use a multilingual grammar formalism and a special- purpose functional programming language . |
| Outcome: | The proposed grammars are the first attempt to create language resources for R&R . they can be used to build computer-aided language learning applications for the languages . |
Revita: a Language-learning Platform at the Intersection of ITS and CALL (L18-1)
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| Challenge: | Existing language-learning tools do not address the fundamental requirements of language learners and teachers. |
| Approach: | They propose a free-to-use platform for language learning beyond the beginner level . they outline the established desiderata of CALL and ITS . |
| Outcome: | The proposed platform supports language learning beyond the beginner level. |
FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning (2023.emnlp-main)
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| Challenge: | Existing passive mental health monitoring systems use alternative features such as activity, app usage, and location via smartphones due to data privacy concerns. |
| Approach: | They propose a mobile mental health monitoring system that utilizes continuous speech and keyboard input in a privacy-preserving way via federated learning. |
| Outcome: | The proposed system achieves 0.15 AUROC improvement and 8.21% MAE reduction in self-reported depression, stress, anxiety, and mood from 46 participants. |