Search Results for author: Chengyu Huang

Found 5 papers, 3 papers with code

Conversation Disentanglement with Bi-Level Contrastive Learning

no code implementations27 Oct 2022 Chengyu Huang, Zheng Zhang, Hao Fei, Lizi Liao

Conversation disentanglement aims to group utterances into detached sessions, which is a fundamental task in processing multi-party conversations.

Contrastive Learning Conversation Disentanglement +1

Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning

1 code implementation NAACL 2021 Jason Wei, Chengyu Huang, Soroush Vosoughi, Yu Cheng, Shiqi Xu

Few-shot text classification is a fundamental NLP task in which a model aims to classify text into a large number of categories, given only a few training examples per category.

Classification Data Augmentation +4

Text Augmentation in a Multi-Task View

no code implementations EACL 2021 Jason Wei, Chengyu Huang, Shiqi Xu, Soroush Vosoughi

Traditional data augmentation aims to increase the coverage of the input distribution by generating augmented examples that strongly resemble original samples in an online fashion where augmented examples dominate training.

Text Augmentation text-classification +1

What Are People Asking About COVID-19? A Question Classification Dataset

1 code implementation ACL 2020 Jerry Wei, Chengyu Huang, Soroush Vosoughi, Jason Wei

We present COVID-Q, a set of 1, 690 questions about COVID-19 from 13 sources, which we annotate into 15 question categories and 207 question clusters.

General Classification

AutoShrink: A Topology-aware NAS for Discovering Efficient Neural Architecture

1 code implementation21 Nov 2019 Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Li, Yiran Chen

Specifically, both ShrinkCNN and ShrinkRNN are crafted within 1. 5 GPU hours, which is 7. 2x and 6. 7x faster than the crafting time of SOTA CNN and RNN models, respectively.

Image Classification Neural Architecture Search

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