Ecaterina Rascu


2006

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A Dictionary Lookup Strategy for Translating of Discontinuous Phrases
Michael Carl | Ecaterina Rascu
Proceedings of the 11th Annual conference of the European Association for Machine Translation

2005

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Sentiment Analysis for Issues Monitoring Using Linguistic Resources
Ecaterina Rascu | Kai Schirmer | Johann Haller
Actes de la 12ème conférence sur le Traitement Automatique des Langues Naturelles. Articles longs

Sentiment analysis dealing with the identification and evaluation of opinions towards a topic, a company, or a product is an essential task within media analysis. It is used to study trends, determine the level of customer satisfaction, or warn immediately when unfavourable trends risk damaging the image of a company. In this paper we present an issues monitoring system which, besides text categorization, also performs an extensive sentiment analysis of online news and newsgroup postings. Input texts undergo a morpho-syntactic analysis, are indexed using a thesaurus and are categorized into user-specific classes. During sentiment analysis, sentiment expressions are identified and subsequently associated with the established topics. After presenting the various components of the system and the linguistic resources used, we describe in detail SentA, its sentiment analysis component, and evaluate its performance.

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Using template-grammars for shake & bake paraphrasing
Michael Carl | Ecaterina Rascu | Paul Schmidt
Proceedings of the 10th EAMT Conference: Practical applications of machine translation

2004

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Using Weighted Abduction to Align Term Variant Translations in Bilingual Texts
Michael Carl | Ecaterina Rascu | Johann Haller
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)