3 citations · 5 across the 9 of their papers we have counts for
9 papers
Mining Interest Trends and Adaptively Assigning SampleWeight for Session-based Recommendation
Kai Ouyang, Xianghong Xu, Miaoxin Chen +4
Session-based Recommendation (SR) aims to predict users' next click based on their behavior within a short period, which is crucial for online platforms. However, most existing SR…
An Online Question Answering System based on Sub-graph Searching
Shuangyong Song
Knowledge graphs (KGs) have been widely used for question answering (QA) applications, especially the entity based QA. However, searching an-swers from an entire large-scale knowle…
An Emotion-controlled Dialog Response Generation Model with Dynamic Vocabulary
Shuangyong Song, Kexin Wang, Chao Wang +2
In response generation task, proper sentimental expressions can obviously improve the human-like level of the responses. However, for real application in online systems, high QPS (…
MLR: A Two-stage Conversational Query Rewriting Model with Multi-task Learning
Shuangyong Song, Chao Wang, Qianqian Xie +3
Conversational context understanding aims to recognize the real intention of user from the conversation history, which is critical for building the dialogue system. However, the mu…
TCNN: Triple Convolutional Neural Network Models for Retrieval-based Question Answering System in E-commerce
Shuangyong Song, Chao Wang
Automatic question-answering (QA) systems have boomed during last few years, and commonly used techniques can be roughly categorized into Information Retrieval (IR)-based and gener…
Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce
Jianfei Yu, Minghui Qiu, Jing Jiang +4
In this paper, we study transfer learning for the PI and NLI problems, aiming to propose a general framework, which can effectively and efficiently adapt the shared knowledge learn…
A Feature-based Classification Technique for Answering Multi-choice World History Questions
Shuangyong Song, Yao Meng, Zhongguang Zheng +1
Our FRDC_QA team participated in the QA-Lab English subtask of the NTCIR-11. In this paper, we describe our system for solving real-world university entrance exam questions, which…
Classifying and Ranking Microblogging Hashtags with News Categories
Shuangyong Song, Yao Meng
In microblogging, hashtags are used to be topical markers, and they are adopted by users that contribute similar content or express a related idea. However, hashtags are created in…
Detecting Concept-level Emotion Cause in Microblogging
Shuangyong Song, Yao Meng
In this paper, we propose a Concept-level Emotion Cause Model (CECM), instead of the mere word-level models, to discover causes of microblogging users' diversified emotions on spec…