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REDES: Reconocimiento de Entidades Digitales: Enriquecimiento y Seguimiento mediante Tecnologías del Lenguaje ; REDES: Digital Entities Recognition: Enrichment and Tracking by Language Technologies
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A novel concept-level approach for ultra-concise opinion summarization
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Sentiment classification for early detection of health alerts in the chemical textile domain
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LEGOLANG: técnicas de deconstrucción aplicadas a las tecnologías del lenguaje humano ; LEGOLANG: deconstruction techniques applied to human language technologies
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EMOTIBLOG: a model to learn subjetive information detection in the new textual genres of the web 2.0 -a multilingual and multi-genre approach
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TextMess 2.0: las tecnologías del lenguaje humano ante los nuevos retos de la comunicación digital ; TextMess 2.0: the new digital media challenges facing human language technologies
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EMOCause: an easy-adaptable approach to emotion cause contexts
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Araknion: inducción de modelos lingüísticos a partir de corpora ; Araknion: inducing linguistics models from corpora
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Evaluating the robustness of EmotiBlog for sentiment analysis and opinion mining
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TextMess 2.0: Las Tecnologías del Lenguaje Humano ante los nuevos retos de la comunicación digital
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TextMess 2.0: Las Tecnologías del Lenguaje Humano ante los nuevos retos de la comunicación digital
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The OpAL System at NTCIR 8 MOAT
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Abstract:
The present is marked by the availability of large volumes of heterogeneous data, whose management is extremely complex. While the treatment of factual data has been widely studied, the processing of subjective information still poses important challenges. This is especially true in tasks that combine Opinion Analysis with other challenges, such as the ones related to Question Answering. In this paper, we describe the different approaches we employed in the NTCIR 8 MOAT monolingual English (opinionatedness, relevance, answerness and polarity) and cross-lingual English-Chinese tasks, implemented in our OpAL system. The results obtained when using different settings of the system, as well as the error analysis performed after the competition, offered us some clear insights on the best combination of techniques, that balance between precision and recall. Contrary to our initial intuitions, we have also seen that the inclusion of specialized Natural Language Processing tools dealing with Temporality or Anaphora Resolution lowers the system performance, while the use of topic detection techniques using faceted search with Wikipedia and Latent Semantic Analysis leads to satisfactory system performance, both for the monolingual setting, as well as in a multilingual one. ; This paper has been partially supported by Ministerio de Ciencia e Innovación - Spanish Government (grant no. TIN2009-13391-C04-01), and Conselleria d'Educación - Generalitat Valenciana (grant no. PROMETEO/2009/119 and ACOMP/2010/288).
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Keyword:
Cross-lingual opinion analysis; Lenguajes y Sistemas Informáticos; Opinion analysis; Polarity classification; Sentiment analysis
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URL: http://hdl.handle.net/10045/22483
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EmotiBlog: a finer-grained and more precise learning of subjectivity expression models
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Going beyond traditional QA systems: challenges and keys in opinion question answering
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AQA: a multilingual anaphora annotation scheme for question answering ; AQA: un modelo de anotación anafórico multilingüe para búsqueda de respuestas
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TEXT-MESS: Intelligent, Interactive and Multilingual Text Mining based on Human Language Technologies, TIN2006-15265-C06
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Enhancing QA systems with complex temporal question processing capabilities
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Machine learning techniques for automatic opinion detection in non-traditional textual genres
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Opinion and generic question answering systems: a performance analysis
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