1 citations · 1 across the 4 of their papers we have counts for
4 papers
Adopting the Multi-answer Questioning Task with an Auxiliary Metric for Extreme Multi-label Text Classification Utilizing the Label Hierarchy
Li Wang, Ying Wah Teh, Mohammed Ali Al-Garadi
Extreme multi-label text classification utilizes the label hierarchy to partition extreme labels into multiple label groups, turning the task into simple multi-group multi-label cl…
Learning Decoupling Features Through Orthogonality Regularization
Li Wang, Rongzhi Gu, Weiji Zhuang +3
Keyword spotting (KWS) and speaker verification (SV) are two important tasks in speech applications. Research shows that the state-of-art KWS and SV models are trained independentl…
Text Anchor Based Metric Learning for Small-footprint Keyword Spotting
Li Wang, Rongzhi Gu, Nuo Chen +1
Keyword Spotting (KWS) remains challenging to achieve the trade-off between small footprint and high accuracy. Recently proposed metric learning approaches improved the generalizab…
TextZoo, a New Benchmark for Reconsidering Text Classification
Benyou Wang, Li Wang, Qikang Wei +1
Text representation is a fundamental concern in Natural Language Processing, especially in text classification. Recently, many neural network approaches with delicate representatio…