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05/24/2023
PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification
We present PESCO, a novel contrastive learning framework that substantia...
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04/24/2023
Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-tuned GPT
Moreover, GPT-based zero-shot classification models tend to make indepen...
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11/11/2022
English Contrastive Learning Can Learn Universal Cross-lingual Sentence Embeddings
Universal cross-lingual sentence embeddings map semantically similar cro...
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05/24/2022
Toxicity Detection with Generative Prompt-based Inference
Due to the subtleness, implicity, and different possible interpretations...
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04/02/2022
Long-tailed Extreme Multi-label Text Classification with Generated Pseudo Label Descriptions
Extreme Multi-label Text Classification (XMTC) has been a tough challeng...
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04/02/2022
Exploiting Local and Global Features in Transformer-based Extreme Multi-label Text Classification
Extreme multi-label text classification (XMTC) is the task of tagging ea...
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10/12/2021
Are you doing what I say? On modalities alignment in ALFRED
ALFRED is a recently proposed benchmark that requires a model to complet...
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07/11/2020
Investigation of Sentiment Controllable Chatbot
Conventional seq2seq chatbot models attempt only to find sentences with ...
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04/28/2020
Learning Interpretable and Discrete Representations with Adversarial Training for Unsupervised Text Classification
Learning continuous representations from unlabeled textual data has been...
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09/14/2019
Tree Transformer: Integrating Tree Structures into Self-Attention
Pre-training Transformer from large-scale raw texts and fine-tuning on t...
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10/05/2018
Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks
Auto-encoders compress input data into a latent-space representation and...
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04/07/2018
