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Found 6 papers, 1 papers with code
CLICKER: Attention-Based Cross-Lingual Commonsense Knowledge Transfer
Recent advances in cross-lingual commonsense reasoning (CSR) are facilitated by the development of multilingual pre-trained models (mPTMs).
Query Expansion and Entity Weighting for Query Reformulation Retrieval in Voice Assistant Systems
However, these methods rarely focus on query expansion and entity weighting simultaneously, which may limit the scope and accuracy of the query reformulation retrieval.
VAE based Text Style Transfer with Pivot Words Enhancement Learning
Text Style Transfer (TST) aims to alter the underlying style of the source text to another specific style while keeping the same content.
A New View of Multi-modal Language Analysis: Audio and Video Features as Text ``Styles''
Imposing the style of one image onto another is called style transfer.
Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis
Multimodal language analysis often considers relationships between features based on text and those based on acoustical and visual properties.
Multi-modal Sentiment Analysis using Deep Canonical Correlation Analysis
This paper learns multi-modal embeddings from text, audio, and video views/modes of data in order to improve upon down-stream sentiment classification.
