1 Introduction and main contributions Community search is a query-dependent variant of community detection problem in social network analysis. Algorithms of this type usually start with a query node preknown to be in ...1 Introduction and main contributions Community search is a query-dependent variant of community detection problem in social network analysis. Algorithms of this type usually start with a query node preknown to be in the target community, and uncover the remaining nodes in the community. The key challenge in this problem is how to find a proper way to represent network structure as a representation that can be easily exploited by downstream data mining models.展开更多
1 Introduction and main contributions The controllable multi-turn emotional response generation task aims to understand the feelings and intentions according to the conversation history between two speakers,and then g...1 Introduction and main contributions The controllable multi-turn emotional response generation task aims to understand the feelings and intentions according to the conversation history between two speakers,and then generate emotionally consistent and empathic responses based on the specific emotion category for smooth human-machine communication[1].The traditional methods[1–3]on this task only focused on enriching the response with desired emotion,which,however,can only generate safe and dull emotional responses.Inspired by the psychology theory on the emotional trigger expressions[4],in this paper,we conjecture that taking the expressions into consideration can refine conversation generation and enhance user satisfaction.Specifically,the emotional trigger expressions can be defined as:the entity-related words and phrases which can provoke and cause the desired emotion of any response.展开更多
Roles, their emotion, and interactions between them are three key elements for semantic content understanding of movies. In this paper, we proposed a novel movie summarization method to capture the semantic content in...Roles, their emotion, and interactions between them are three key elements for semantic content understanding of movies. In this paper, we proposed a novel movie summarization method to capture the semantic content in movies based on a string of IE-Role Nets. An IE-Role Net(interaction and emotion rolenet) models the emotion and interactions of roles in a shot of the movie. The whole movie is represented as a string of IE-Role Nets. Summarization of a movie is transformed into finding an optimal substring with user-specified summarization ratio.Hierarchical substring mining is conducted to find an optimal substring of the whole movie. We have conducted objective and subjective experiments on our method. Experimental results show the ability of our method to capture the semantic content of movies.展开更多
基金the National Key R&D Program of China (2018YFB1004700)the National Natural Science Foundation of China (Grant Nos. 61772122, 61872074).
文摘1 Introduction and main contributions Community search is a query-dependent variant of community detection problem in social network analysis. Algorithms of this type usually start with a query node preknown to be in the target community, and uncover the remaining nodes in the community. The key challenge in this problem is how to find a proper way to represent network structure as a representation that can be easily exploited by downstream data mining models.
基金The work was supported by the National Key R&D Program of China(2018YFB1004700)the National Natural Science Foundation of China(Grant Nos.61872074,61772122).
文摘1 Introduction and main contributions The controllable multi-turn emotional response generation task aims to understand the feelings and intentions according to the conversation history between two speakers,and then generate emotionally consistent and empathic responses based on the specific emotion category for smooth human-machine communication[1].The traditional methods[1–3]on this task only focused on enriching the response with desired emotion,which,however,can only generate safe and dull emotional responses.Inspired by the psychology theory on the emotional trigger expressions[4],in this paper,we conjecture that taking the expressions into consideration can refine conversation generation and enhance user satisfaction.Specifically,the emotional trigger expressions can be defined as:the entity-related words and phrases which can provoke and cause the desired emotion of any response.
基金supported by the National Basic Research Program of China under Grant No.2011CB302200-Gthe National Natural Science Foundation of China under Grant Nos. 61370074 and 61402091the Fundamental Research Funds for the Central Universities of China under Grant Nos. N120404007 and N140404012
文摘Roles, their emotion, and interactions between them are three key elements for semantic content understanding of movies. In this paper, we proposed a novel movie summarization method to capture the semantic content in movies based on a string of IE-Role Nets. An IE-Role Net(interaction and emotion rolenet) models the emotion and interactions of roles in a shot of the movie. The whole movie is represented as a string of IE-Role Nets. Summarization of a movie is transformed into finding an optimal substring with user-specified summarization ratio.Hierarchical substring mining is conducted to find an optimal substring of the whole movie. We have conducted objective and subjective experiments on our method. Experimental results show the ability of our method to capture the semantic content of movies.
