no code implementations • Findings (EMNLP) 2021 • Xiao Liu, Juan Hu, Qi Shen, Huan Chen
Finally, we train a BERT-like pre-training model with text and POIs’ graph embeddings to get an integrated representation of both geographic and semantic information, and apply it in the QR of POI search.
no code implementations • 27 Sep 2022 • Weiqiang Wang, Xuefei Zhe, Huan Chen, Di Kang, Tingguang Li, Ruizhi Chen, Linchao Bao
Along with the novel system, we also present a new dataset dedicated to the multi-action motion synthesis task, which contains both action tags and their contextual information.
no code implementations • 22 Jun 2022 • Ruifeng Qian, Shijie Li, Mengjiao Bao, Huan Chen, Yu Che
With the growth of the economy and society, enterprises, especially in the FinTech industry, have increasing demands of outbound calls for customers such as debt collection, marketing, anti-fraud calls, and so on.
no code implementations • NAACL 2021 • Shuangyong Song, Chao Wang, Haiqing Chen, Huan Chen
E-commerce has grown substantially over the last several years, and chatbots for intelligent customer service are concurrently drawing attention.
no code implementations • 30 Apr 2021 • Chi-Man Wong, Fan Feng, Wen Zhang, Chi-Man Vong, Hui Chen, Yichi Zhang, Peng He, Huan Chen, Kun Zhao, Huajun Chen
We first construct a billion-scale conversation knowledge graph (CKG) from information about users, items and conversations, and then pretrain CKG by introducing knowledge graph embedding method and graph convolution network to encode semantic and structural information respectively. To make the CTR prediction model sensible of current state of users and the relationship between dialogues and items, we introduce user-state and dialogue-interaction representations based on pre-trained CKG and propose K-DCN. In K-DCN, we fuse the user-state representation, dialogue-interaction representation and other normal feature representations via deep cross network, which will give the rank of candidate items to be recommended. We experimentally prove that our proposal significantly outperforms baselines and show it's real application in Alime.
no code implementations • 4 Mar 2021 • Shuangyong Song, Kexin Wang, Chao Wang, Haiqing Chen, Huan Chen
In response generation task, proper sentimental expressions can obviously improve the human-like level of the responses.
no code implementations • 13 Apr 2020 • Shuangyong Song, Chao Wang, Qianqian Xie, Xinxing Zu, Huan Chen, Haiqing Chen
In this paper, we propose the conversational query rewriting model - MLR, which is a Multi-task model on sequence Labeling and query Rewriting.
no code implementations • 18 Mar 2019 • Ji Zhao, Meiyu Yu, Huan Chen, Boning Li, Lingyu Zhang, Qi Song, Li Ma, Hua Chai, Jieping Ye
An accurate similarity calculation is challenging since the mismatch between a query and a retrieval text may exist in the case of a mistyped query or an alias inquiry.
no code implementations • 11 Dec 2017 • Christopher Streiffer, Huan Chen, Theophilus Benson, Asim Kadav
In recent years, many techniques have been developed to improve the performance and efficiency of data center networks.