Reported Speech

Minding the Source: Automatic Tagging of Reported Speech in Newspaper Articles


Abstract

Reported speech in the form of direct and indirect reported speech is an important indicator of evidentiality in traditional newspaper texts, but also increasingly in the new media that rely heavily on citation and quotation of previous postings, as for instance in blogs or newsgroups. This paper details the basic processing steps for reported speech analysis and reports on performance of an implementation in form of a GATE resource.

Creating a Fuzzy Believer to Model Human Newspaper Readers

Montreal 2007

Abstract

We present a system capable of modeling human newspaper readers. It is based on the extraction of reported speech, which is subsequently converted into a fuzzy theory-based representation of single statements. A domain analysis then assigns statements to topics. A number of fuzzy set operators, including fuzzy belief revision, are applied to model different belief strategies. At the end, our system holds certain beliefs while rejecting others.

Processing of Beliefs extracted from Reported Speech in Newspaper Articles

A fuzzy believer?

Abstract

The growing number of publicly available information sources makes it impossible for individuals to keep track of all the various opinions on one topic. The goal of our artificial believer system presented in this paper is to extract and analyze statements of opinion from newspaper articles.

Beliefs are modeled using a fuzzy-theoretic approach applied after NLP-based information extraction. A fuzzy believer models a human agent, deciding what statements to believe or reject based on different, configurable strategies.

Fuzzy Set Theory-Based Belief Processing for Natural Language Texts

Introduction

The growing number of publicly available information sources makes it impossible for individuals to keep track of all the various opinions on one topic. The goal of our artificial believer system we present in this paper is to extract and analyze opinionated statements from newspaper articles.

Beliefs are modeled with a fuzzy-theoretic approach applied after NLP-based information extraction. A fuzzy believer models a human agent, deciding what statements to believe or reject based on different, configurable strategies.

Attributions

Abstract

We present here the outline of an ongoing research effort to recognize, represent, and interpret attributive constructions such as reported speech in newspaper articles. The role of reported speech is attribution: the statement does not assert some information as `true' but attributes it to some source. The description of the source and the choice of the reporting verb can express the reporter's level of confidence in the attributed material.

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