| Description |
1 online resource (xiv, 171 pages) : illustrations |
| Series |
Studies in Computational Intelligence, 1860-949X ; volume 589 |
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Studies in computational intelligence ; volume 589. 1860-949X
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| Contents |
Intro; Preface; Acknowledgment; Contents; Contributors; Part ILinguistic Resources; Harmonizing and Merging Italian Treebanks: Towards a Merged Italian Dependency Treebank and Beyond; 1 Introduction; 2 The TUT and ISST -- TANL Treebanks; 2.1 Comparing the Annotation Schemes; 3 TUT and ISST -- TANL as Training Corpora; 4 Merging TUT and ISST -- TANL; 4.1 Defining a Bridge Annotation Scheme for MIDT; 4.2 Using MIDT as Training Corpus; 5 Beyond MIDT: Towards an Italian Stanford Dependency Treebank; 6 Conclusion; References; Dependency Treebank Annotation and Null Elements: An Experiment with VIT |
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1 Introduction2 ̀̀Ne'' in Relative Clauses; 2.1 ̀̀Che'' as Beginner of a Relative Clause; 2.2 Lexical Relative Pronouns; 2.3 ̀̀Cui'' in VIT; 2.4 Oblique Relative in Online Parsers; 2.5 Questions; 3 Creation of Null Elements; 4 Conclusion; References; PartTUT: The Turin University Parallel Treebank; 1 Introduction; 2 Parallel Treebanks and Their Alignment; 3 ParTUT; 3.1 Data; 3.2 Annotation Format; 4 Translation Shifts and Alignment Issues; 4.1 The Sentence Level Alignment; 4.2 The Syntactic Alignment; 4.3 ParTUTaligner: Algorithm and Results; 5 Conclusion and Future Work; References |
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Comparing Named Entity Recognition on Transcriptions and Written Texts1 Introduction; 2 Named Entities Recognition; 2.1 Approaches; 2.2 Evaluation Campaigns; 3 Extracting NEs from Written Texts and Transcriptions; 4 The EntityPro System; 4.1 System Architecture; 4.2 System Performance; 5 Experimental Data Sets; 5.1 Transcription Data Sets; 5.2 Written Text Data Sets; 6 Experiments; 6.1 Evaluation Procedures; 6.2 Experiments on Automatic Transcriptions Data Set; 6.3 Experiments on Manual Transcriptions Data Set; 6.4 Experiments on Written Text Data Set; 7 Discussion |
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8 Conclusion and Future WorkReferences; Part IITools and Related Methodologies; Semantic Tree Kernels for Statistical Natural Language Learning; 1 Introduction; 2 Tree Kernels and Distributional Models of Lexical Semantics; 3 Semantically Smoothed Partial Tree Kernel; 3.1 Smoothed Partial Tree Kernel Definition; 3.2 Proposed Computational Structures; 4 Experimental Evaluation; 4.1 General Experimental Setup; 4.2 Question Classification; 4.3 Verb Classification; 4.4 FrameNet Role Classification; 5 Conclusions; References |
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Distributional Models for Lexical Semantics: An Investigation of Different Representations for Natural Language Learning1 Introduction; 2 Distributional Models of Lexical Semantics; 2.1 Different Word Spaces for Different Lexical Relations; 2.2 Embedding Lexical Semantics in Lower Dimensional Spaces; 3 Kernel-Based Learning and Distributional Information; 3.1 Convolution Tree Kernels; 3.2 Smoothing Partial Tree Kernels; 4 Experimental Evaluation; 4.1 General Experimental Setup; 4.2 Semantic Text Similarity: Results; 4.3 Question Classification: Results; 5 Conclusion; References |
| Summary |
The papers collected in this volume are selected as a sample of the progress in Natural Language Processing (NLP) performed within the Italian NLP community and especially attested by the PARLI project. PARLI (Portale per l?Accesso alle Risorse in Lingua Italiana) is a project partially funded by the Ministero Italiano per l?Università e la Ricerca (PRIN 2008) from 2008 to 2012 for monitoring and fostering the harmonic growth and coordination of the activities of Italian NLP. It was proposed by various teams of researchers working in Italian universities and research institutions. According to the spirit of the PARLI project, most of the resources and tools created within the project and here described are freely distributed and they did not terminate their life at the end of the project itself, hoping they could be a key factor in future development of computational linguistics |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed February 2, 2015) |
| Subject |
Natural language processing (Computer science)
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Italian language -- Data processing
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Natural Language Processing
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Artificial intelligence.
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Natural language & machine translation.
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Computers -- Intelligence (AI) & Semantics.
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Computers -- Speech & Audio Processing.
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Natural language processing (Computer science)
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| Form |
Electronic book
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| Author |
Basili, Roberto, editor
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Bosco, Cristina, editor
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Delmonte, Rodolfo, editor
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Moschitti, Alessandro, editor
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Simi, Maria, editor
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| ISBN |
9783319142067 |
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3319142062 |
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3319142054 |
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9783319142050 |
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