Papers with short text classification tasks
A Self-Supervised Integration Method of Pretrained Language Models and Word Definitions (2023.findings-acl)
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| Challenge: | DefBERT integrates word definition modeling with word semantics in dictionaries. |
| Approach: | They propose a method that integrates pretrained models with word semantics in dictionaries. |
| Outcome: | The proposed method is effective on word similarity and short text classification tasks. |
ProSeqo: Projection Sequence Networks for On-Device Text Classification (D19-1)
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| Challenge: | ProSeqo is a novel on-device sequence model for text classification . it uses dynamic recurrent projections without the need to store or look up pre-trained embeddings. |
| Approach: | They propose a novel on-device sequence model for text classification using recurrent projections that uses dynamic recursion projections without the need to store or look up any pre-trained embeddings. |
| Outcome: | The proposed model outperforms state-of-the-art neural and on-device approaches for short and long text classification tasks while maintaining low memory footprint and high accuracy. |