1 code implementation • 13 Jun 2023 • Ahmed Murtadha, Shengfeng Pan, Wen Bo, Jianlin Su, Xinxin Cao, Wenze Zhang, Yunfeng Liu
To alleviate the noisy information, we adapt a reasoning with uncertainty-based approach to rank the unlabeled texts based on the evidential support received from the labeled texts.
no code implementations • 5 Aug 2022 • Jianlin Su, Mingren Zhu, Ahmed Murtadha, Shengfeng Pan, Bo Wen, Yunfeng Liu
To support the application of deep learning in multi-label classification (MLC) tasks, we propose the ZLPR (zero-bounded log-sum-exp \& pairwise rank-based) loss in this paper.
no code implementations • 5 Aug 2022 • Jianlin Su, Ahmed Murtadha, Shengfeng Pan, Jing Hou, Jun Sun, Wanwei Huang, Bo Wen, Yunfeng Liu
The ultimate goal is to enable a global view that considers the beginning and the end positions to predict the entity.
1 code implementation • 22 Mar 2022 • Murtadha Ahmed, Shengfeng Pan, Jianlin Su, Xinxin Cao, Wenze Zhang, Bo Wen, Yunfeng Liu
Unfortunately, the aspect is often expressed implicitly through a set of representatives and thus renders implicit mapping process unattainable unless sufficient labeled examples are available.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +2
no code implementations • 23 Dec 2021 • Shaoshi Sun, Zhenyuan Zhang, BoCheng Huang, Pengbin Lei, Jianlin Su, Shengfeng Pan, Jiarun Cao
The softmax function is widely used in artificial neural networks for the multiclass classification problems, where the softmax transformation enforces the output to be positive and sum to one, and the corresponding loss function allows to use maximum likelihood principle to optimize the model.
no code implementations • EMNLP (sustainlp) 2021 • Yi Liu, Guoan Zhang, Puning Yu, Jianlin Su, Shengfeng Pan
Copy mechanisms explicitly obtain unchanged tokens from the source (input) sequence to generate the target (output) sequence under the neural seq2seq framework.
1 code implementation • 8 Jun 2021 • Zixuan Peng, Yu Lu, Shengfeng Pan, Yunfeng Liu
Emotion recognition from speech is a challenging task.
18 code implementations • 20 Apr 2021 • Jianlin Su, Yu Lu, Shengfeng Pan, Ahmed Murtadha, Bo Wen, Yunfeng Liu
Then, we propose a novel method named Rotary Position Embedding(RoPE) to effectively leverage the positional information.
Ranked #1 on Semantic Text Matching on CAIL2019-SCM - test