Abstract

This paper presents a corpus and experiments to determine dimensions of interpersonal relationships. We define a set of dimensions heavily inspired by work in social science. We create a corpus by retrieving pairs of people, and then annotating dimensions for their relationships. A corpus analysis shows that dimensions can be annotated reliably. Experimental results show that given a pair of people, values to dimensions can be assigned automatically.

Highlights

  • The task of information extraction (IE) consists in creating structured representations from unstructured text

  • We provide below brief descriptions of the nine dimensions of interpersonal relationships we work with

  • Recall that we build a classifier per dimension, the combination of the nine

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Summary

Introduction

The task of information extraction (IE) consists in creating structured representations from unstructured text. These representations usually consist of relations explicitly stated in text, and involve two or more arguments. IE systems would extract SPOUSE(John, Mary) or MARRIED(John, Mary, 1994 ) from John and Mary have been married since 1994. Traditional IE systems are supervised and extract relations defined before training takes place (Peng and McCallum, 2004). Open IE systems have been proposed to extract all relations explicitly stated in text in an unsupervised manner and without defining relations a priori (Mausam et al, 2012). Open IE systems are domain independent and would extract, in principle, relations such as CLASSMATES and ADVISOR from students’ diaries or biographies of scientists

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