Automated Fidelity Assessment for Strategy Training in Inpatient Rehabilitation using Natural Language Processing. (arXiv:2209.06727v2 [cs.CL] UPDATED)
Adversarial Learning-based Stance Classifier for COVID-19-related Health Policies. (arXiv:2209.04631v3 [cs.CL] UPDATED)
A Unified Review of Deep Learning for Automated Medical Coding. (arXiv:2201.02797v2 [cs.CL] UPDATED)
TextRGNN: Residual Graph Neural Networks for Text Classification. (arXiv:2112.15060v2 [cs.CL] UPDATED)
Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning. (arXiv:2109.03062v2 [cs.CL] UPDATED)
Fillers in Spoken Language Understanding: Computational and Psycholinguistic Perspectives. (arXiv:2301.10761v1 [cs.CL])
Investigating Strategies for Clause Recommendation. (arXiv:2301.10716v1 [cs.CL])
Consistency is Key: Disentangling Label Variation in Natural Language Processing with Intra-Annotator Agreement. (arXiv:2301.10684v1 [cs.CL])
Probing Taxonomic and Thematic Embeddings for Taxonomic Information. (arXiv:2301.10656v1 [cs.CL])
A Holistic Cascade System, benchmark, and Human Evaluation Protocol for Expressive Speech-to-Speech Translation. (arXiv:2301.10606v1 [cs.CL])
Automated multilingual detection of Pro-Kremlin propaganda in newspapers and Telegram posts. (arXiv:2301.10604v1 [cs.CL])
Distilling Text into Circuits. (arXiv:2301.10595v1 [cs.CL])
ARDIAS: AI-Enhanced Research Management, Discovery, and Advisory System. (arXiv:2301.10577v1 [cs.CL])
A Study on FGSM Adversarial Training for Neural Retrieval. (arXiv:2301.10576v1 [cs.IR])
Backward Compatibility During Data Updates by Weight Interpolation. (arXiv:2301.10546v1 [cs.LG])
Cross-lingual Argument Mining in the Medical Domain. (arXiv:2301.10527v1 [cs.CL])
ExaRanker: Explanation-Augmented Neural Ranker. (arXiv:2301.10521v1 [cs.CL])
Multi-Tenant Optimization For Few-Shot Task-Oriented FAQ Retrieval. (arXiv:2301.10517v1 [cs.CL])
SWING: Balancing Coverage and Faithfulness for Dialogue Summarization. (arXiv:2301.10483v1 [cs.CL])
FewShotTextGCN: K-hop neighborhood regularization for few-shot learning on graphs. (arXiv:2301.10481v1 [cs.CL])
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