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[null,"1.","Record Nr.",null,"UNINA990009186230403321"]
[null,null,"Autore",null,"Furlan, Pier Maria"]
[null,null,"Titolo",null,"Alcol alcolici alcolismo / Pier Maria Furlan, Rocco Luigi Picci"]
[null,null,"Pubbl/distr/stampa",null,"Torino : Bollati Boringhieri, 1990"]
[null,null,"ISBN",null,"88-339-0570-5"]
[null,null,"Descrizione fisica",null,"XXII, 473 p. ; 24 cm"]
[null,null,"Disciplina",null,"362.292"]
[null,null,"Locazione",null,"DMIGI"]
[null,null,"Collocazione",null,"IG 16 F 16"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910484198803321"]
[null,null,"Titolo",null,"Natural Language Processing and Information Systems : 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, Liège, Belgium, June 21-23, 2017, Proceedings / / edited by Flavius Frasincar, Ashwin Ittoo, Le Minh Nguyen, Elisabeth Métais"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017"]
[null,null,"ISBN",null,"3-319-59569-5"]
[null,null,"Edizione",null,"[1st ed. 2017.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XXII, 500 p. 91 illus.)"]
[null,null,"Collana",null,"Information Systems and Applications, incl. Internet/Web, and HCI, , 2946-1642 ; ; 10260"]
[null,null,"Disciplina",null,"006.35"]
[null,null,"Soggetti",null,"Natural language processing (Computer science)"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Social sciences - Data processing"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Machine theory"]
[{"$nulls":4},"Natural Language Processing (NLP)"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Computer Application in Social and Behavioral Sciences"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[{"$nulls":4},"Formal Languages and Automata Theory"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Organization -- Invited Papers -- Linguistic Musicology -- Using Machine Reading to Aid Cancer Understanding and Treatment -- Contents -- Feature Engineering -- Fine-Grained Opinion Mining from Mobile App Reviews with Word Embedding Features -- 1 Introduction -- 2 Related Work -- 3 Baseline Model -- 4 Word Embedding Model -- 4.1 Synonym Expansion -- 4.2 Clustering -- 5 Experiments and Results -- 5.1 Data -- 5.2 Experimental Setup -- 5.3 Evaluation Results -- 6 Conclusion -- References -- Feature Selection Using Multi-objective Optimization for Aspect Based Sentiment Analysis -- 1 Introduction -- 2 Method -- 2.1 Brief Overview of MOO -- 2.2 Non-dominated Sorting Genetic Algorithm-II (NSGA-II) -- 2.3 Problem Formulation -- 2.4 Problem Encoding -- 2.5 Fitness Computation -- "]
[{"$nulls":4},"2.6 Features -- 3 Experiments and Analysis -- 3.1 Datasets -- 3.2 Results and Analysis -- 3.3 Comparisons -- 3.4 Feature Selection: Analysis -- 4 Error Analysis -- 4.1 OTE -- 4.2 Sentiment Classification -- 5 Conclusion -- References -- Feature Selection and Class-Weight Tuning Using Genetic Algorithm for Bio-molecular Event Extraction -- 1 Introduction -- 2 Major Steps for Event Extraction -- 2.1  Event Trigger Extraction -- 2.2 Argument Extraction by Edge Detection -- 3 Features -- 4 Experimental Results and Analysis -- 4.1 Comparison with Existing Systems -- 5 Conclusion -- References -- Automated Lexicon and Feature Construction Using Word Embedding and Clustering for Classification of ASD Diagnoses Using EHR -- Abstract -- 1 Introduction -- 2 Manual and Automated Creation of Lexicons as Features -- 3 ASD Case Status Classification -- 4 Conclusion -- Acknowledgements -- References -- Multi-objective Optimisation-Based Feature Selection for Multi-label Classification -- 1 Introduction -- 2 Multiobjective Feature Subset Selection -- 3 Experimental Setup."]
[{"$nulls":4},"4 Results -- 5 Conclusion -- References -- Information Extraction -- WikiTrends: Unstructured Wikipedia-Based Text Analytics Framework -- 1 Introduction -- 2 Related Work -- 3 The WikiTrends Framework -- 3.1 WikiTrends Parser -- 3.2 WikiTrends Extractors -- 3.3 WikiTrends Analysis Layer -- 4 Evaluation -- 4.1 Test Set -- 4.2 Gender Extractor Evaluation -- 4.3 Location Extractor Evaluation -- 4.4 Time Extractor Evaluation -- 5 Conclusion and Future Work -- References -- An Improved PLDA Model for Short Text -- 1 Introduction -- 2 Related Works -- 3 Model and Algorithms -- 3.1 Notation -- 3.2 ST-PLDA Model -- 3.3 Model Inference -- 3.4 Classification -- 4 Experiment Analysis -- 4.1 Data Sets -- 4.2 Classification Performance -- 4.3 Evaluation of Topics -- 4.4 Sensitivity Analysis -- 5 Conclusions -- References -- Mining Incoherent Requirements in Technical Specifications -- 1 Motivations and Objectives -- 2 Construction of a Corpus of Incoherent Requirements -- 2.1 Corpus Compilation Method -- 2.2 Extraction of Incoherent Requirements -- 3 Annotating Incoherence in Requirements -- 4 A Preliminary Categorization of Incoherence in Requirements -- 4.1 Partial or Total Incompatibilities Between Expressions -- 4.2 Incompatible Events -- 4.3 Contextual Incompatibilities -- 4.4 Terminological Variations and Other Discrepancies -- 4.5 Category Synthesis -- 5 Analysis of Errors in the Incoherence Analysis -- 6 Conclusion and Perspectives -- References -- Enriching Argumentative Texts with Implicit Knowledge -- 1 Introduction -- 2 Related Work -- 3 Annotating Implicit Knowledge in Arguments -- 3.1 The Microtext Corpus -- 3.2 Task I: Revealing Implicit Knowledge in Argumentative Texts -- 3.3 Task IIa: Situation Entity Types Annotations -- 3.4 Task IIb: Concept Net Relations Annotations -- 3.5 Task III: Retrieving Similar Sentences from a Wikipedia Corpus."]
[{"$nulls":4},"4 Analysis of the Annotations -- 4.1 Task I: Data Statistics and Evolution of Annotator Agreement -- 4.2 Task IIa: Analysis of Situation Entity Types Annotations -- 4.3 Task IIb: Analysis of ConceptNet Relation Type Annotations -- 4.4 Task III: Aligning Knowledge Annotations with Wikipedia -- 5 Conclusion -- References -- Technical Aspect Extraction from Customer Reviews Based on Seeded Word Clustering -- 1 Introduction -- 2 Related Work -- 3 Computing Word Technicality -- 4 Word Clustering -- 4.1 Constructing the Technical Semantic Space -- 4.2 Seeded Word Clustering -- 5 Evaluation -- 5.1 Technical Scores -- 5.2 Technical Clusters -- 5.3 Information Extraction -- 6 Conclusion and Future Work -- References -- Event Detection for Heterogeneous News Streams -- 1 Introduction -- 2 Related Work -- 3 EDNC: Event Detection and News Clustering -- 3.1 "]
[{"$nulls":4},"Event Detection -- 3.2 Estimating the Temporal Windows of Events -- 3.3 Event-Based Clustering of News -- 4 Characteristics of EDNC -- 5 Experimental Results -- 5.1 Dataset -- 5.2 Event Detection Evaluation -- 5.3 News Clustering -- 6 Conclusions and Future Work -- References -- Twitter User Profiling Model Based on Temporal Analysis of Hashtags and Social Interactions -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Social and Temporal Profiles' Construction -- 3.1.1 Interactive and Temporal User Profiles' Construction -- 3.1.2 Thematic and Temporal User Profiles' Construction -- 3.2 Users' Clustering Based on Social and Temporal Profiles -- 4 Experimental Illustration -- 4.1 Illustration of Clustering Based on Social Interactions -- 4.2 Illustration of Clusters Based on Thematic Profiles -- 4.3 Formal Concept Analysis of Temporal Thematic Profiles -- 5 Conclusion and Future Work -- References -- Extracting Causal Relations Among Complex Events in Natural Science Literature."]
[{"$nulls":4},"1 Introduction -- 2 Data Set -- 3 Task -- 4 Experiments -- 5 Results -- 6 Conclusion -- References -- Supporting Experts to Handle Tweet Collections About Significant Events -- 1 Introduction -- 2 System Architecture -- 3 Experiments and Evaluation -- 4 Conclusion -- References -- Named Entity Classification Based on Profiles: A Domain Independent Approach -- 1 Introduction -- 2 Method: Named Entity Classification Through Profiles -- 3 Evaluation -- 4 Conclusions and Future Work -- References -- Information Extraction from Resource-Scarce Languages -- Does the Strength of Sentiment Matter? A Regression Based Approach on Turkish Social Media -- 1 Introduction -- 2 Related Work -- 3 Data Collection and Preprocessing -- 4 Features Extracted from Tweets -- 4.1 Lexical Features -- 4.2 Emoticons -- 4.3 Features Based on Sentiment Scores -- 4.4 Word Embedding -- 5 Experiments and Results -- 6 Conclusion -- References -- AL-TERp: Extended Metric for Machine Translation Evaluation of Arabic -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 TER and TER-plus -- 2.2 METEOR and AL-BLEU -- 3 AL-TERp -- 3.1 Normalization -- 3.2 Arabic WordNet -- 3.3 Stemming -- 3.4 Paraphrase Database -- 3.5 Edit Costs Optimization -- 4 Experiments and Results -- 4.1 Data and Performance Criteria -- 4.2 Results -- 4.3 Discussion -- 5 Conclusions -- Acknowledgments -- References -- A Morphological Approach for Measuring Pair-Wise Semantic Similarity of Sanskrit Sentences -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Implementation -- 3 Experimental Results -- 4 Conclusion and Future Work -- References -- Word-Level Identification of Romanized Tunisian Dialect -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Tunisian Dialect Identification -- 3.1 TD Identification Using N-Gram Based Cumulative Frequency Addition -- 3.2 TD Identification Using Support Vector Machines."]
[{"$nulls":4},"4 Experiments and Results -- 5 Conclusion -- References -- Named Entity Recognition in Turkish: Approaches and Issues -- 1 Introduction -- 2 Named Entities in Turkish -- 3 A Review of Named Entity Recognition Studies -- 4 Outstanding Issues -- 5 Conclusion -- References -- Natural Language Processing Applications -- Simplified Text-to-Pictograph Translation for People with Intellectual Disabilities -- 1 Introduction -- 2 Status Quaestionis -- 3 Objectives -- 4 System Description -- 4.1 Pre-processing -- 4.2 Applying Alpino -- 4.3 Syntactic Simplification -- 5 Evaluation -- 6 Conclusion -- References -- What You Use, Not What You Do: Automatic Classification of Recipes -- 1 Introduction -- 2 Related Work -- 3 Feature Sets for Recipe Classification -- 4 Results -- 4.1 Experimental Setup -- 4.2 Classification Results -- 4.3 Visualization -- 4.4 Feature Analysis -- "]
[{"$nulls":4},"4.5 Error Analysis -- 5 Discussion, Conclusion and Future Work -- References -- Constructing Technical Knowledge Organizations from Document Structures -- 1 Introduction -- 2 Formalized Document Components -- 3 Constraint-Based Construction of Technical Knowledge Organizations -- 3.1 Extracting Partial Hierarchies from Document Structures -- 3.2 Unification of Concept Candidates -- 3.3 Constraint-Based Hierarchy Construction -- 4 Application and Implementation Remarks -- 5 Conclusion -- References -- Applications of Natural Language Techniques in Solving SmartHome Use-Cases -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Conclusion -- References -- A Method for Querying Touristic Information Extracted from the Web -- 1 Introduction -- 2 Proposed Method -- 3 Discussion and Conclusion -- References -- Towards Generating Object-Oriented Programs Automatically from Natural Language Texts for Solving Mathematical Word Problems -- 1 Introduction -- 2 Related Work -- 3 System Description."]
[{"$nulls":4},"4 Dataset, Results and Discussions."]
[null,null,null,"Sommario/riassunto","This book constitutes the refereed proceedings of the 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, held in Liège, Belgium, in June 2017. The 22 full papers, 19 short papers, and 16 poster papers presented were carefully reviewed and selected from 125 submissions. The papers are organized in the following topical sections: feature engineering; information extraction; information extraction from resource-scarce languages; natural language processing applications; neural language models and applications; opinion mining and sentiment analysis; question answering systems and applications; semantics-based models and applications; and text summarization."]