no code implementations • EMNLP 2021 • Zheng Li, Danqing Zhang, Tianyu Cao, Ying WEI, Yiwei Song, Bing Yin
In this work, we explore multilingual sequence labeling with minimal supervision using a single unified model for multiple languages.
no code implementations • 9 Apr 2024 • Tianyu Cao, Natraj Raman, Danial Dervovic, Chenhao Tan
We propose a computational framework for characterizing multimodal long-form summarization and investigate the behavior of Claude 2. 0/2. 1, GPT-4/3. 5, and Command.
1 code implementation • NeurIPS 2023 • Xin Liu, Zheng Li, Yifan Gao, Jingfeng Yang, Tianyu Cao, Zhengyang Wang, Bing Yin, Yangqiu Song
The goal of session-based recommendation in E-commerce is to predict the next item that an anonymous user will purchase based on the browsing and purchase history.
no code implementations • 27 Mar 2023 • Ruijie Wang, Zheng Li, Jingfeng Yang, Tianyu Cao, Chao Zhang, Bing Yin, Tarek Abdelzaher
This paper investigates cross-lingual temporal knowledge graph reasoning problem, which aims to facilitate reasoning on Temporal Knowledge Graphs (TKGs) in low-resource languages by transfering knowledge from TKGs in high-resource ones.
1 code implementation • 15 Nov 2022 • Changlong Yu, Weiqi Wang, Xin Liu, Jiaxin Bai, Yangqiu Song, Zheng Li, Yifan Gao, Tianyu Cao, Bing Yin
Understanding users' intentions in e-commerce platforms requires commonsense knowledge.
no code implementations • 8 Oct 2022 • Haoming Jiang, Tianyu Cao, Zheng Li, Chen Luo, Xianfeng Tang, Qingyu Yin, Danqing Zhang, Rahul Goutam, Bing Yin
When applying masking to short search queries, most contextual information is lost and the intent of the search queries may be changed.
1 code implementation • ACL 2022 • Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang
In this paper, we explore multilingual KG completion, which leverages limited seed alignment as a bridge, to embrace the collective knowledge from multiple languages.
Ranked #3 on Knowledge Graph Completion on DPB-5L (French)
no code implementations • 24 Oct 2021 • Ye Tian, Gesualdo Scutari, Tianyu Cao, Alexander Gasnikov
In order to reduce the number of communications to reach a solution accuracy, we proposed a {\it preconditioned, accelerated} distributed method.
no code implementations • 19 Aug 2021 • Danqing Zhang, Zheng Li, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang
We study the problem of query attribute value extraction, which aims to identify named entities from user queries as diverse surface form attribute values and afterward transform them into formally canonical forms.
1 code implementation • ACL 2021 • Haoming Jiang, Danqing Zhang, Tianyu Cao, Bing Yin, Tuo Zhao
Unfortunately, we observe that weakly labeled data does not necessarily improve, or even deteriorate the model performance (due to the extensive noise in the weak labels) when we train deep NER models over a simple or weighted combination of the strongly labeled and weakly labeled data.