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Cognitively Inspired Natural Language Processing : An Investigation Based on Eye-tracking / / by Abhijit Mishra, Pushpak Bhattacharyya
| Cognitively Inspired Natural Language Processing : An Investigation Based on Eye-tracking / / by Abhijit Mishra, Pushpak Bhattacharyya |
| Autore | Mishra Abhijit |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XVII, 174 p. 34 illus., 30 illus. in color.) |
| Disciplina | 006.35 |
| Collana | Cognitive Intelligence and Robotics |
| Soggetto topico |
Natural language processing (Computer science)
Artificial intelligence Computational linguistics Psycholinguistics Natural Language Processing (NLP) Artificial Intelligence Computational Linguistics |
| ISBN |
981-13-1516-7
978-981-13-1516-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction -- Chapter 2. Eye-tracking: Theory, Methods, and Applications in Language Processing and Other Areas -- Chapter 3. Estimating Annotation Complexities of Text Using Gaze and Textual Information - Case studies of Translation and Sentiment Annotation -- Chapter 4. Scanpath Complexity: Combining Gaze Attributes for Modeling Effort in Text Reading/Annotation -- Chapter 5. Predicting Readers’ Sarcasm Understandability by Modeling Gaze Behavior -- Chapter 6. Harnessing Cognitive Features for Sentiment Analysis and Sarcasm Detection -- Chapter 7. Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network -- Chapter 8. Conclusion and Future Directions. |
| Record Nr. | UNINA-9910299303003321 |
Mishra Abhijit
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Investigations in Computational Sarcasm / / by Aditya Joshi, Pushpak Bhattacharyya, Mark J. Carman
| Investigations in Computational Sarcasm / / by Aditya Joshi, Pushpak Bhattacharyya, Mark J. Carman |
| Autore | Joshi Aditya |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (150 pages) |
| Disciplina | 410.285 |
| Collana | Cognitive Systems Monographs |
| Soggetto topico |
Computational intelligence
Natural language processing (Computer science) Signal processing Image processing Speech processing systems Computational Intelligence Natural Language Processing (NLP) Signal, Image and Speech Processing |
| ISBN | 981-10-8396-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introduction -- 2. Literature Survey -- 3. Understanding the Phenomenon of Sarcasm -- 4. Sarcasm Detection using Incongruity within Target Text -- 5. Sarcasm Detection using Contextual Incongruity -- 6. Sarcasm Generation -- 7. Conclusion & Future Work. |
| Record Nr. | UNINA-9910299906903321 |
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Joshi Aditya
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Investigations in entity relationship extraction / / Sachin Sharad Pawar, Pushpak Bhattacharyya, Girish Keshav Palshikar
| Investigations in entity relationship extraction / / Sachin Sharad Pawar, Pushpak Bhattacharyya, Girish Keshav Palshikar |
| Autore | Pawar Sachin Sharad |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (156 pages) |
| Disciplina | 929.374 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico | Extraction (Linguistics) |
| ISBN | 981-19-5391-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgements -- Contents -- About the Authors -- 1 Introduction -- 1.1 Entities -- 1.2 Relations -- 1.2.1 Global- versus Mention-level Relations -- 1.3 Motivation -- 1.4 Research Gaps and Objectives -- 1.4.1 End-to-end Relation Extraction -- 1.4.2 N-ary Cross-sentence Relation Extraction -- 1.5 Organization of the Monograph -- References -- 2 Literature Survey -- 2.1 Relation Extraction -- 2.1.1 Feature-based Methods -- 2.1.2 Kernel Methods -- 2.1.3 Neural Approaches -- 2.1.4 Datasets -- 2.1.5 Evaluation -- 2.2 Joint Entity and Relation Extraction -- 2.2.1 Motivating Example -- 2.2.2 Overview of Techniques -- 2.2.3 Joint Inference Techniques -- 2.2.4 Joint Models -- 2.2.5 Experimental Evaluation -- 2.3 N-ary Cross-sentence Relation Extraction -- 2.3.1 Extracting Cross-sentence Relations -- 2.3.2 Extracting N-ary and Cross-sentence Relations -- References -- 3 Joint Inference for End-to-end Relation Extraction -- 3.1 Introduction -- 3.1.1 Problem Definition -- 3.1.2 Motivation for Joint Extraction -- 3.2 Background: Markov Logic Networks (MLN) -- 3.2.1 Basics of First-order Logic -- 3.2.2 Basics of MLNs -- 3.2.3 Formal Definition -- 3.2.4 Inference in MLNs -- 3.3 Building Blocks for Our Approach -- 3.3.1 Identifying Entity Mention Candidates -- 3.3.2 Entity Type Classifier -- 3.3.3 Entity Type Agnostic Relation Classifier -- 3.3.4 Pipeline Relation Classifier -- 3.4 Joint Extraction using Inference in Markov Logic Networks (MLN) -- 3.4.1 Motivation -- 3.4.2 Domains and Predicates -- 3.4.3 Generic Rules -- 3.4.4 Sentence-specific Rules -- 3.4.5 Additional Semantic Rules -- 3.4.6 Joint Inference -- 3.5 Example -- 3.6 Experimental Analysis -- 3.6.1 Limitations of Our Approach -- References -- 4 Joint Model for End-to-End Relation Extraction -- 4.1 Motivation -- 4.2 All Word Pairs Model (AWP-NN).
4.2.1 Features for the AWP-NN Model -- 4.2.2 Architecture of the AWP-NN Model -- 4.3 Inference Using Markov Logic Networks -- 4.4 Experimental Analysis -- 4.4.1 Datasets -- 4.4.2 Implementation Details -- 4.4.3 Results -- 4.4.4 Analysis of Results -- 4.5 Domain-Specific Entities and Relations -- 4.5.1 Adverse Drug Reactions -- 4.5.2 TAC 2017: ADR Extraction Task -- References -- 5 N-ary Cross-Sentence Relation Extraction -- 5.1 Introduction -- 5.2 Problem Definition -- 5.2.1 Comparison with Relevant Past Work -- 5.3 Proposed Approach -- 5.3.1 Constructing Sequence Representations -- 5.3.2 Constrained Subsequence Kernel (CSK) -- 5.3.3 Formal Definition of CSK -- 5.3.4 Classifying Candidate Relation Instances -- 5.4 Experimental Analysis -- 5.4.1 Datasets -- 5.4.2 Implementation Details -- 5.4.3 Analysis of Results and Errors -- 5.5 Discussion on Decomposition of N-ary Relations -- 5.5.1 Examples of Various Relation Types -- 5.5.2 Generalized Theorem -- References -- 6 Recent Advances in Entity and Relation Extraction -- 6.1 Joint Entity and Relation Extraction -- 6.1.1 Using Span-Based Representation for Entity Mentions -- 6.1.2 Using BERT Embeddings -- 6.2 N-ary Cross-Sentence Relation Extraction -- 6.2.1 Standard Dataset -- 6.2.2 Graph Neural Networks -- 6.2.3 Using BERT Embeddings -- References -- 7 Conclusions -- 7.1 Summary of the Monograph -- 7.2 Future Directions -- References -- Appendix A Foundations -- A.1 Maximum Entropy Classifier -- A.2 Conditional Random Fields (CRF) -- A.3 Markov Logic Networks (MLN) -- A.3.1 Basics of First-order Logic -- A.3.2 Basics of MLNs -- A.3.3 Formal Definition -- A.3.4 Example -- A.3.5 Inference in MLNs -- A.4 Neural Networks -- A.4.1 Layers in Neural Networks -- A.4.1.1 Embedding Layer (Input Layer) -- A.4.1.2 Linear Layer -- A.4.1.3 Softmax Layer (Output Layer) -- A.4.2 Training Neural Networks. A.4.3 Long Short-Term Memory Networks (LSTM) -- A.5 Support Vector Machines (SVM) with Kernels -- A.5.1 Kernel Functions -- A.5.2 String Subsequence Kernel -- A.5.3 Generalized Subsequence Kernel -- References. |
| Record Nr. | UNINA-9910627261503321 |
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Pawar Sachin Sharad
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| Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Smart and Innovative Trends in Next Generation Computing Technologies : Third International Conference, NGCT 2017, Dehradun, India, October 30-31, 2017, Revised Selected Papers, Part I / / edited by Pushpak Bhattacharyya, Hanumat G. Sastry, Venkatadri Marriboyina, Rashmi Sharma
| Smart and Innovative Trends in Next Generation Computing Technologies : Third International Conference, NGCT 2017, Dehradun, India, October 30-31, 2017, Revised Selected Papers, Part I / / edited by Pushpak Bhattacharyya, Hanumat G. Sastry, Venkatadri Marriboyina, Rashmi Sharma |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XLVII, 800 p. 366 illus.) |
| Disciplina | 004 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer science
Computer security Computer Science, general Privacy |
| ISBN | 981-10-8657-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Smart and Innovative Trends in Computational Intelligence and Data Science -- Smart and Innovative Trends in Communication Protocols and Standards -- Smart and Innovative Trends in Image Processing and Machine Vision -- Smart Innovative Trends in Security and Privacy -- Smart Innovative Trends in Natural Language Processing for Indian Languages. . |
| Record Nr. | UNINA-9910299302403321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Smart and Innovative Trends in Next Generation Computing Technologies : Third International Conference, NGCT 2017, Dehradun, India, October 30-31, 2017, Revised Selected Papers, Part II / / edited by Pushpak Bhattacharyya, Hanumat G. Sastry, Venkatadri Marriboyina, Rashmi Sharma
| Smart and Innovative Trends in Next Generation Computing Technologies : Third International Conference, NGCT 2017, Dehradun, India, October 30-31, 2017, Revised Selected Papers, Part II / / edited by Pushpak Bhattacharyya, Hanumat G. Sastry, Venkatadri Marriboyina, Rashmi Sharma |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XLVIII, 968 p. 546 illus.) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer science
Computer security Computer Science, general Privacy |
| ISBN | 981-10-8660-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Smart and Innovative Trends in Computational Intelligence and Data Science -- Smart and Innovative Trends in Communication Protocols and Standards -- Smart and Innovative Trends in Image Processing and Machine Vision -- Smart Innovative Trends in Security and Privacy -- Smart Innovative Trends in Natural Language Processing for Indian Languages. . |
| Record Nr. | UNINA-9910299302503321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The WordNet in Indian Languages / / edited by Niladri Sekhar Dash, Pushpak Bhattacharyya, Jyoti D. Pawar
| The WordNet in Indian Languages / / edited by Niladri Sekhar Dash, Pushpak Bhattacharyya, Jyoti D. Pawar |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XVII, 264 p. 76 illus., 59 illus. in color.) |
| Disciplina | 410.285 |
| Soggetto topico |
Computational linguistics
Natural language processing (Computer science) Language and education Languages Language and languages Computational Linguistics Natural Language Processing (NLP) Language Education Asian Languages |
| ISBN | 981-10-1909-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. IndoWordNet Pushpak Bhattacharyya -- Chapter 2. Insights on Hindi WordNet Coming from the IndoWordNet Laxmi Kashyap, Salil Rajeev Joshi and Pushpak Bhattacharyya -- Chapter 3. Defining Language Specific Synset (LSS) in IndoWorNet: Some Theoretical and Practical Issues Niladri Sekhar Dash -- Chapter 4. Problems in Translating Hindi Synsets into the Bangla WordNet Niladri Sekhar Dash -- Chapter 5. Development of Punjabi WordNet, Bilingual Dictionaries, Lexical Relations Creation and its Challenges R.K. Sharma and Parteek Kumar -- Chapter 6. Insights on the Konkani WordNet Development Process Shilpa N. Desai, Shantaram W. Walawalikar, Ramdas N. Karmali, and Jyoti D. Pawar -- Chapter 7. Malayalam WordNet S. Rajendran and K. P. Soman -- Chapter 8. Creating Marathi WordNet Lata Popale and Pushpak Bhattacharyya -- Chapter 9. Gujarati WordNet: A Profile of the IndoWordNet Brijesh S. Bhatt, C. K. Bhensdadia, Pushpak Bhattacharyya, Dinesh Chauhan and Kirit Patel -- Chapter 10. Issues in the Creation of Synsets in Odia WordNet: A Report Panchanan Mohanty, Ramesh C. Malik and Bhimasena Bhol -- Chapter 11. Building Telugu WordNet using Expansion Approach S. Arulmozi and M.C. Kesava Murty -- Chapter 12. Challenges, Problems and Issues Faced in Language Specific Synset Creation and Linkage in the Kashmiri WordNet Aadil Amin Kak, Farooq Ahmad, Nazima Mehdi, Mansoor Farooq, and Muneera Hakim -- Chapter 13. Language Specific Synsets and Challenges in Synset Linkage in Urdu WordNet Rizwanur Rahman, Mazhar Mehdi Hussain and Niladri Sekhar Dash -- Chapter 14. Sanskrit Wordnet at IITB Malhar Kulkarni -- Chapter 15. Word Sense Disambiguation Using IndoWordNet Sudha Bhingardive and Pushpak Bhattacharyya -- Appendix I: The Team of the IndoWordNet. |
| Record Nr. | UNINA-9910135983903321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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