no code implementations • LTEDI (ACL) 2022 • Xiaotian Lin, Yingwen Fu, Ziyu Yang, Nankai Lin, Shengyi Jiang
In this paper, we report the solution of the team BERT 4EVER for the LT-EDI-2022 shared task2: Homophobia/Transphobia Detection in social media comments in ACL 2022, which aims to classify Youtube comments into one of the following categories: no, moderate, or severe depression.
no code implementations • 16 Mar 2024 • Zhuowei Li, Miao Zhang, Xiaotian Lin, Meng Yin, Shuai Lu, Xueqian Wang
This paper introduces GAgent: an Gripping Agent designed for open-world environments that provides advanced cognitive abilities via VLM agents and flexible grasping abilities with variable stiffness soft grippers.
no code implementations • 25 Sep 2023 • Dongxu Lei, Xiaotian Lin, Xinghu Yu, Zhan Li, Weichao Sun, Jianbin Qiu, Songlin Zhuang, Huijun Gao
In a multitude of industrial fields, a key objective entails optimising resource management whilst satisfying user requirements.
1 code implementation • 17 Aug 2023 • Li Liu, Lufei Gao, Wentao Lei, Fengji Ma, Xiaotian Lin, Jinting Wang
In summary, this survey paper provides a comprehensive understanding of deep multi-modal learning for various BL generations and recognitions for the first time.
no code implementations • 20 May 2023 • Yun Luo, Xiaotian Lin, Zhen Yang, Fandong Meng, Jie zhou, Yue Zhang
It is seldom considered to adapt the decision boundary for new representations and in this paper we propose a Supervised Contrastive learning framework with adaptive classification criterion for Continual Learning (SCCL), In our method, a contrastive loss is used to directly learn representations for different tasks and a limited number of data samples are saved as the classification criterion.
no code implementations • 2 Feb 2023 • Xiaotian Lin, Nankai Lin, Yingwen Fu, Ziyu Yang, Shengyi Jiang
In this paper, we propose a novel self-training selection framework with two selectors to select the high-quality samples from data augmentation.
no code implementations • 20 Jul 2022 • Leiyang Xu, Qiang Wang, Xiaotian Lin, Lin Yuan
This study proposes an efficient framework for the few-shot skeleton-based TAS, including a data augmentation method and an improved model.
no code implementations • 16 Jul 2022 • Xiaotian Lin, Leiyang Xu, Qiang Wang
In the past decade, object detection tasks are defined mostly by large public datasets.
no code implementations • 30 Apr 2022 • Nankai Lin, Xiaotian Lin, Ziyu Yang, Shengyi Jiang
In terms of the reference-based metric, we introduce sentence-level accuracy and char-level BLEU to evaluate the corrected sentences.
1 code implementation • 2 Apr 2022 • Nankai Lin, Yingwen Fu, Xiaotian Lin, Aimin Yang, Shengyi Jiang
In the distillation XABSA task, we further explore the comparative effectiveness of different data (source dataset, translated dataset, and code-switched dataset).
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+2
no code implementations • 3 Dec 2021 • Xiaotian Lin, Nankai Lin, Kanoksak Wattanachote, Shengyi Jiang, Lianxi Wang
On the other hand, in view of the problem that the model cannot well recognize and utilize the correlation among languages, we further proposed a language-specific representation module to enrich semantic information for the model.