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Báo cáo khoa học: "Social Network Extraction from Texts: A Thesis Proposal"

In my thesis, I propose to build a system that would enable extraction of social interactions from texts. To date I have defined a comprehensive set of social events and built a preliminary system that extracts social events from news articles. I plan to improve the performance of my current system by incorporating semantic information. Using domain adaptation techniques, I propose to apply my system to a wide range of genres. | Social Network Extraction from Texts A Thesis Proposal Apoorv Agarwal Department of Computer Science Columbia University apoorv@cs.columbia.edu Abstract In my thesis I propose to build a system that would enable extraction of social interactions from texts. To date I have defined a comprehensive set of social events and built a preliminary system that extracts social events from news articles. I plan to improve the performance of my current system by incorporating semantic information. Using domain adaptation techniques I propose to apply my system to a wide range of genres. By extracting linguistic constructs relevant to social interactions I will be able to empirically analyze different kinds of linguistic constructs that people use to express social interactions. Lastly I will attempt to make convolution kernels more scalable and interpretable. 1 Introduction Language is the primary tool that people use for establishing maintaining and expressing social relations. This makes language the real carrier of social networks. The overall goal of my thesis is to build a system that automatically extracts a social network from raw texts such as literary texts emails blog comments and news articles. I take a social network to be a network consisting of individual human beings and groups of human beings who are connected to each other through various relationships by the virtue of participating in social events. I define social events to be events that occur between people where at least one person is aware of the other and of the event taking place. For example in the sentence John talks to Mary entities John and Mary are aware of each other and of the 111 talking event. In the sentence John thinks Mary is great only John is aware of Mary and the event is the thinking event. My thesis will introduce a novel way of constructing networks by analyzing text to capture such interactions or events. Motivation Typically researchers construct a social network from various forms