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008			220601s2011 sz | s |||| 0|eng d
020			_a9783031018800
024	7		_a10.1007/978-3-031-01880-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.N38 _b2011 EB
100	1		_aCarenini​‌, Giuseppe _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687065
245	1	0	_aMethods for Mining and Summarizing Text Conversations _cby Giuseppe Carenini​‌, Raymond Ng, Gabriel Murray
250			_a1st edition 2011
264		1	_aCham _bSpringer International Publishing _c2011
300			_a1 recurso en línea (X, 120 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Data Management _x2153-5426
505	0		_aIntroduction -- Background: Corpora and Evaluation Methods -- Mining Text Conversations -- Summarizing Text Conversations -- Conclusions -- Final Thoughts.
520			_aDue to the Internet Revolution, human conversational data -- in written forms -- are accumulating at a phenomenal rate. At the same time, improvements in speech technology enable many spoken conversations to be transcribed. Individuals and organizations engage in email exchanges, face-to-face meetings, blogging, texting and other social media activities. The advances in natural language processing provide ample opportunities for these "informal documents" to be analyzed and mined, thus creating numerous new and valuable applications. This book presents a set of computational methods to extract information from conversational data, and to provide natural language summaries of the data. The book begins with an overview of basic concepts, such as the differences between extractive and abstractive summaries, and metrics for evaluating the effectiveness of summarization and various extraction tasks. It also describes some of the benchmark corpora used in the literature. The book introduces extraction and mining methods for performing subjectivity and sentiment detection, topic segmentation and modeling, and the extraction of conversational structure. It also describes frameworks for conducting dialogue act recognition, decision and action item detection, and extraction of thread structure. There is a specific focus on performing all these tasks on conversational data, such as meeting transcripts (which exemplify synchronous conversations) and emails (which exemplify asynchronous conversations). Very recent approaches to deal with blogs, discussion forums and microblogs (e.g., Twitter) are also discussed. The second half of this book focuses on natural language summarization of conversational data. It gives an overview of several extractive and abstractive summarizers developed for emails, meetings, blogs and forums. It also describes attempts for building multi-modal summarizers. Last but not least, the book concludes with thoughts on topics for further development. Table of Contents: Introduction / Background: Corpora and Evaluation Methods / Mining Text Conversations / Summarizing Text Conversations / Conclusions / Final Thoughts.
988			_aSynthesis Collection of Technology_2011
650		7	_2embne _9162648 _aData mining
650		7	_2embne _9158738 _aProceso en lenguaje natural (Informática)
700	1		_aNg, Raymond Tak-yan, _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687066 _d1963-
700	1		_aMurray, Gabriel _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687067
776	0	8	_iPrinted edition: _z9783031007521
776	0	8	_iPrinted edition: _z9783031030086
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01880-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _esc _zSI