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TitleStatusHype
Discrete Structural Planning for Generating Diverse Translations—0
Discrete Structural Planning for Neural Machine Translation—0
Discrete Structural Planning for Neural Machine Translation—0
Discrete Wavelet Transform for Efficient Word Embeddings and Sentence Encoding—0
Audiovisual Speech Synthesis using Tacotron2—0
Discriminative Improvements to Distributional Sentence Similarity—0
Analyzing Zero-shot Cross-lingual Transfer in Supervised NLP Tasks—0
CSP:Code-Switching Pre-training for Neural Machine Translation—0
Discriminative Neural Sentence Modeling by Tree-Based Convolution—0
Discriminative Reranking for Neural Machine Translation—0
Discriminative Sentence Modeling for Story Ending Prediction—0
Discriminative Training: Learning to Describe Video with Sentences, from Video Described with Sentences—0
CS/NLP at SemEval-2022 Task 4: Effective Data Augmentation Methods for Patronizing Language Detection and Multi-label Classification with RoBERTa and GPT3—0
Discriminative Unsupervised Alignment of Natural Language Instructions with Corresponding Video Segments—0
Audio-visual Multi-channel Recognition of Overlapped Speech—0
Disentangled VAE Representations for Multi-Aspect and Missing Data—0
Disentangling continuous and discrete linguistic signals in transformer-based sentence embeddings—0
Disentangling Homophemes in Lip Reading using Perplexity Analysis—0
Disentangling Linguistic Features with Dimension-Wise Analysis of Vector Embeddings—0
Efficient Contextual Representation Learning With Continuous Outputs—0
CSL-L2M: Controllable Song-Level Lyric-to-Melody Generation Based on Conditional Transformer with Fine-Grained Lyric and Musical Controls—0
CSE-SFP: Enabling Unsupervised Sentence Representation Learning via a Single Forward Pass—0
Audiobook Dialogues as Training Data for Conversational Style Synthetic Voices—0
CSECU-DSG at WNUT-2020 Task 2: Exploiting Ensemble of Transfer Learning and Hand-crafted Features for Identification of Informative COVID-19 English Tweets—0
CSECU-DSG at SemEval-2022 Task 3: Investigating the Taxonomic Relationship Between Two Arguments using Fusion of Multilingual Transformer Models—0
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