Search Results for author: Haode Zhang

Found 5 papers, 4 papers with code

Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training

1 code implementation8 Jun 2023 Haode Zhang, Haowen Liang, LiMing Zhan, Xiao-Ming Wu, Albert Y. S. Lam

We consider the task of few-shot intent detection, which involves training a deep learning model to classify utterances based on their underlying intents using only a small amount of labeled data.

intent-classification Intent Classification +2

Asymmetric feature interaction for interpreting model predictions

1 code implementation12 May 2023 Xiaolei Lu, Jianghong Ma, Haode Zhang

In this work, we propose an asymmetric feature interaction attribution explanation model that aims to explore asymmetric higher-order feature interactions in the inference of deep neural NLP models.

Sentiment Analysis Sentiment Classification

New Intent Discovery with Pre-training and Contrastive Learning

1 code implementation ACL 2022 Yuwei Zhang, Haode Zhang, Li-Ming Zhan, Xiao-Ming Wu, Albert Y. S. Lam

Existing approaches typically rely on a large amount of labeled utterances and employ pseudo-labeling methods for representation learning and clustering, which are label-intensive, inefficient, and inaccurate.

Clustering Contrastive Learning +3

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