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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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Abstract:
The Web 2.0 has resulted in a shift as to how users consume and interact with the information, and has introduced a wide range of new textual genres, such as reviews or microblogs, through which users communicate, exchange, and share opinions. The exploitation of all this user-generated content is of great value both for users and companies, in order to assist them in their decision-making processes. Given this context, the analysis and development of automatic methods that can help manage online information in a quicker manner are needed. Therefore, this article proposes and evaluates a novel concept-level approach for ultra-concise opinion abstractive summarization. Our approach is characterized by the integration of syntactic sentence simplification, sentence regeneration and internal concept representation into the summarization process, thus being able to generate abstractive summaries, which is one the most challenging issues for this task. In order to be able to analyze different settings for our approach, the use of the sentence regeneration module was made optional, leading to two different versions of the system (one with sentence regeneration and one without). For testing them, a corpus of 400 English texts, gathered from reviews and tweets belonging to two different domains, was used. Although both versions were shown to be reliable methods for generating this type of summaries, the results obtained indicate that the version without sentence regeneration yielded to better results, improving the results of a number of state-of-the-art systems by 9%, whereas the version with sentence regeneration proved to be more robust to noisy data. ; This research work has been partially funded by the University of Alicante, Generalitat Valenciana, Spanish Government and the European Commission through the projects, “Tratamiento inteligente de la información para la ayuda a la toma de decisiones” (GRE12-44), “Explotación y tratamiento de la información disponible en Internet para la anotación y generación de textos adaptados al usuario” (GRE13-15), DIIM2.0 (PROMETEOII/2014/001), ATTOS (TIN2012-38536-C03-03), LEGOLANG-UAGE (TIN2012-31224), SAM (FP7-611312), and FIRST (FP7-287607).
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Keyword:
Electronic Word of Mouth; Lenguajes y Sistemas Informáticos; Natural language generation; Text summarization; Ultra-concise opinion summarization
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URL: https://doi.org/10.1016/j.eswa.2015.05.026
http://hdl.handle.net/10045/57961
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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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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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