SAS: Self-Augmentation Strategy for Language Model Pre-training. (arXiv:2106.07176v5 [cs.CL] UPDATED)
EXIF as Language: Learning Cross-Modal Associations Between Images and Camera Metadata. (arXiv:2301.04647v1 [cs.CV])
tieval: An Evaluation Framework for Temporal Information Extraction Systems. (arXiv:2301.04643v1 [cs.CL])
Modelling low-resource accents without accent-specific TTS frontend. (arXiv:2301.04606v1 [eess.AS])
Memory Augmented Large Language Models are Computationally Universal. (arXiv:2301.04589v1 [cs.CL])
A Personalized Utterance Style (PUS) based Dialogue Strategy for Efficient Service Requirement Elicitation. (arXiv:2301.04582v1 [cs.CL])
Improving And Analyzing Neural Speaker Embeddings for ASR. (arXiv:2301.04571v1 [cs.CL])
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing. (arXiv:2301.04558v1 [cs.CV])
Few-shot Learning for Cross-Target Stance Detection by Aggregating Multimodal Embeddings. (arXiv:2301.04535v1 [cs.CL])
The Role of Interactive Visualization in Explaining (Large) NLP Models: from Data to Inference. (arXiv:2301.04528v1 [cs.CL])
Deteksi Depresi dan Kecemasan Pengguna Twitter Menggunakan Bidirectional LSTM. (arXiv:2301.04521v1 [cs.CL])
Diving Deep into Modes of Fact Hallucinations in Dialogue Systems. (arXiv:2301.04449v1 [cs.CL])
Multilingual Entity and Relation Extraction from Unified to Language-specific Training. (arXiv:2301.04434v1 [cs.CL])
GPT as Knowledge Worker: A Zero-Shot Evaluation of (AI)CPA Capabilities. (arXiv:2301.04408v1 [cs.CL])
Perceive and predict: self-supervised speech representation based loss functions for speech enhancement. (arXiv:2301.04388v1 [cs.SD])
Multimodal Inverse Cloze Task for Knowledge-based Visual Question Answering. (arXiv:2301.04366v1 [cs.CL])
Counteracts: Testing Stereotypical Representation in Pre-trained Language Models. (arXiv:2301.04347v1 [cs.CL])
Topics in Contextualised Attention Embeddings. (arXiv:2301.04339v1 [cs.CL])
Dual Learning for Large Vocabulary On-Device ASR. (arXiv:2301.04327v1 [cs.CL])
Word-Graph2vec: An efficient word embedding approach on word co-occurrence graph using random walk sampling. (arXiv:2301.04312v1 [cs.CL])
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