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06/27/2023
ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis
Multimodal Sentiment Analysis leverages multimodal signals to detect the...
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04/20/2023
CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering
Text clustering, as one of the most fundamental challenges in unsupervis...
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04/20/2023
Search-Map-Search: A Frame Selection Paradigm for Action Recognition
Despite the success of deep learning in video understanding tasks, proce...
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04/20/2023
LA3: Efficient Label-Aware AutoAugment
Automated augmentation is an emerging and effective technique to search ...
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11/19/2021
RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation
Cross-domain recommendation can help alleviate the data sparsity issue i...
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08/02/2021
LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization
Language model pre-training based on large corpora has achieved tremendo...
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05/31/2021
Verdi: Quality Estimation and Error Detection for Bilingual
Translation Quality Estimation is critical to reducing post-editing effo...
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10/27/2020
QBSUM: a Large-Scale Query-Based Document Summarization Dataset from Real-world Applications
Query-based document summarization aims to extract or generate a summary...
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04/13/2020
Reinforced Curriculum Learning on Pre-trained Neural Machine Translation Models
The competitive performance of neural machine translation (NMT) critical...
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02/27/2019