Statement map: assisting information crediblity analysis by visualizing arguments

Authors:
Koji Murakami;Eric Nichols;Suguru Matsuyoshi;Asuka Sumida;Shouko Masuda;Kentaro Inui;Yuji Matumoto
Affiliations:
Nara Institute of Science and Technology, Ikoma, Japan;Nara Institute of Science and Technology, Ikoma, Japan;Nara Institute of Science and Technology, Ikoma, Japan;Nara Institute of Science and Technology, Ikoma, Japan;Osaka Prefecture University, Sakai, Japan;Nara Institute of Science and Technology, Ikoma, Japan;Nara Institute of Science and Technology, Ikoma, Japan
Venue:
Proceedings of the 3rd workshop on Information credibility on the web
Year:
2009

Citing 12
Cited 8

Acquiring causal knowledge from text using the connective marker tame

ACM Transactions on Asian Language Information Processing (TALIP)
A common theory of information fusion from multiple text sources step one: cross-document structure

SIGDIAL '00 Proceedings of the 1st SIGdial workshop on Discourse and dialogue - Volume 10
Online large-margin training of dependency parsers

ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Robust textual inference via graph matching

HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Learning to recognize features of valid textual entailments

HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Making sense of credibility on the Web: Models for evaluating online information and recommendations for future research

Journal of the American Society for Information Science and Technology
Experience Mining: Building a Large-Scale Database of Personal Experiences and Opinions from Web Documents

WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
A Database of Relations between Predicate Argument Structures for Recognizing Textual Entailment and Contradiction

ISUC '08 Proceedings of the 2008 Second International Symposium on Universal Communication
A phrase-based alignment model for natural language inference

EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Classification of semantic relations by humans and machines

EMSEE '05 Proceedings of the ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment
Learning alignments and leveraging natural logic

RTE '07 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
Combining labeled and unlabeled data for learning cross-document structural relationships

IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing

Annotating semantic relations combining facts and opinions

ACL-IJCNLP '09 Proceedings of the Third Linguistic Annotation Workshop
What is disputed on the web?

Proceedings of the 4th workshop on Information credibility
Modulating video credibility via visualization of quality evaluations

Proceedings of the 4th workshop on Information credibility
Statement map: reducing web information credibility noise through opinion classification

AND '10 Proceedings of the fourth workshop on Analytics for noisy unstructured text data
Evaluating truthfulness of modifiers attached to web entity names

WAIM'10 Proceedings of the 11th international conference on Web-age information management
Identifying contradictory and contrastive relations between statements to outline web information on a given topic

COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
A method for automatically generating a mediatory summary to verify credibility of information on the web

COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Recognizing confinement in web texts

IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we introduce Statement Map, a project designed to help users navigate the vast amounts of information on the internet and come to informed opinions on topics of interest. It does this by mining the Web for a variety of viewpoints and presenting them to users together with supporting evidence in a way that makes it clear how the viewpoints are related. In this paper, we discuss the need to address issues of information credibility on the internet, outline the development of Statement Map generators for Japanese and English, discuss the technical issues that are being addressed, and report on the construction of the resources necessary to meet the project's goals.