Search Results for author: Huan Chen

Found 11 papers, 0 papers with code

Geo-BERT Pre-training Model for Query Rewriting in POI Search

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.

Graph Representation Learning

NEURAL MARIONETTE: A Transformer-based Multi-action Human Motion Synthesis System

no code implementations27 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.

Motion Synthesis TAG

Toward An Optimal Selection of Dialogue Strategies: A Target-Driven Approach for Intelligent Outbound Robots

no code implementations22 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.

Marketing

Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph

no code implementations30 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.

Click-Through Rate Prediction Knowledge Graph Embedding +1

An Emotion-controlled Dialog Response Generation Model with Dynamic Vocabulary

no code implementations4 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.

Response Generation

MLR: A Two-stage Conversational Query Rewriting Model with Multi-task Learning

no code implementations13 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.

Multi-Task Learning

POI Semantic Model with a Deep Convolutional Structure

no code implementations18 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.

Retrieval

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