AI based approach to Trailer Generation for Online Educational Courses. (arXiv:2301.03957v1 [cs.CL])
Channel-aware Decoupling Network for Multi-turn Dialogue Comprehension. (arXiv:2301.03953v1 [cs.CL])
The use of new technologies to support Public Administration. Sentiment analysis and the case of the app IO. (arXiv:2301.03848v1 [cs.SI])
Streaming Punctuation: A Novel Punctuation Technique Leveraging Bidirectional Context for Continuous Speech Recognition. (arXiv:2301.03819v1 [cs.CL])
UnifySpeech: A Unified Framework for Zero-shot Text-to-Speech and Voice Conversion. (arXiv:2301.03801v1 [cs.SD])
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding. (arXiv:2301.03765v1 [cs.CL])
Scaling Laws for Generative Mixed-Modal Language Models. (arXiv:2301.03728v1 [cs.CL])
Neighborhood-Regularized Self-Training for Learning with Few Labels. (arXiv:2301.03726v1 [cs.LG])
Large Language Models as Corporate Lobbyists. (arXiv:2301.01181v4 [cs.CL] UPDATED)
MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding. (arXiv:2301.00876v2 [cs.CL] UPDATED)
CultureBERT: Fine-Tuning Transformer-Based Language Models for Corporate Culture. (arXiv:2212.00509v2 [cs.CL] UPDATED)
L3Cube-HindBERT and DevBERT: Pre-Trained BERT Transformer models for Devanagari based Hindi and Marathi Languages. (arXiv:2211.11418v4 [cs.CL] UPDATED)
Retrieving Users' Opinions on Social Media with Multimodal Aspect-Based Sentiment Analysis. (arXiv:2210.15377v2 [cs.IR] UPDATED)
State-of-the-art generalisation research in NLP: A taxonomy and review. (arXiv:2210.03050v3 [cs.CL] UPDATED)
Can Foundation Models Help Us Achieve Perfect Secrecy?. (arXiv:2205.13722v2 [cs.LG] UPDATED)
A Hierarchical N-Gram Framework for Zero-Shot Link Prediction. (arXiv:2204.10293v6 [cs.CL] UPDATED)
CL-XABSA: Contrastive Learning for Cross-lingual Aspect-based Sentiment Analysis. (arXiv:2204.00791v5 [cs.CL] UPDATED)
Word Segmentation on Discovered Phone Units with Dynamic Programming and Self-Supervised Scoring. (arXiv:2202.11929v2 [cs.CL] UPDATED)
$\mathcal{Y}$-Tuning: An Efficient Tuning Paradigm for Large-Scale Pre-Trained Models via Label Representation Learning. (arXiv:2202.09817v2 [cs.CL] UPDATED)
Guiding Generative Language Models for Data Augmentation in Few-Shot Text Classification. (arXiv:2111.09064v2 [cs.CL] UPDATED)
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