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Framework And Resources For Natural Language Parser Evaluation


Framework And Resources For Natural Language Parser Evaluation
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Framework And Resources For Natural Language Parser Evaluation


Framework And Resources For Natural Language Parser Evaluation
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Author : Tuomo Kakkonen
language : en
Publisher: Tuomo Kakkonen
Release Date : 2007

Framework And Resources For Natural Language Parser Evaluation written by Tuomo Kakkonen and has been published by Tuomo Kakkonen this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.




Framework And Resources For Natural Language Parser Evaluation


Framework And Resources For Natural Language Parser Evaluation
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Author : Tuomo Kakkonen
language : en
Publisher: Tuomo Kakkonen
Release Date : 2007

Framework And Resources For Natural Language Parser Evaluation written by Tuomo Kakkonen and has been published by Tuomo Kakkonen this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.




Statistical Significance Testing For Natural Language Processing


Statistical Significance Testing For Natural Language Processing
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Author : Rotem Dror
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2020-04-03

Statistical Significance Testing For Natural Language Processing written by Rotem Dror and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-03 with Computers categories.


Data-driven experimental analysis has become the main evaluation tool of Natural Language Processing (NLP) algorithms. In fact, in the last decade, it has become rare to see an NLP paper, particularly one that proposes a new algorithm, that does not include extensive experimental analysis, and the number of involved tasks, datasets, domains, and languages is constantly growing. This emphasis on empirical results highlights the role of statistical significance testing in NLP research: If we, as a community, rely on empirical evaluation to validate our hypotheses and reveal the correct language processing mechanisms, we better be sure that our results are not coincidental. The goal of this book is to discuss the main aspects of statistical significance testing in NLP. Our guiding assumption throughout the book is that the basic question NLP researchers and engineers deal with is whether or not one algorithm can be considered better than another one. This question drives the field forward as it allows the constant progress of developing better technology for language processing challenges. In practice, researchers and engineers would like to draw the right conclusion from a limited set of experiments, and this conclusion should hold for other experiments with datasets they do not have at their disposal or that they cannot perform due to limited time and resources. The book hence discusses the opportunities and challenges in using statistical significance testing in NLP, from the point of view of experimental comparison between two algorithms. We cover topics such as choosing an appropriate significance test for the major NLP tasks, dealing with the unique aspects of significance testing for non-convex deep neural networks, accounting for a large number of comparisons between two NLP algorithms in a statistically valid manner (multiple hypothesis testing), and, finally, the unique challenges yielded by the nature of the data and practices of the field.



Evalita Evaluation Of Nlp And Speech Tools For Italian


Evalita Evaluation Of Nlp And Speech Tools For Italian
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Author : Franco Cutugno Pierpaolo Basile (Malvina Nissim, Viviana Patti, Rachele Sprugnoli (dir.))
language : en
Publisher:
Release Date :

Evalita Evaluation Of Nlp And Speech Tools For Italian written by Franco Cutugno Pierpaolo Basile (Malvina Nissim, Viviana Patti, Rachele Sprugnoli (dir.)) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Evaluating Natural Language Processing Systems


Evaluating Natural Language Processing Systems
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Author : Karen Sparck Jones
language : en
Publisher: Springer Science & Business Media
Release Date : 1995

Evaluating Natural Language Processing Systems written by Karen Sparck Jones and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.


This book is about the patterns of connections between brain structures. It reviews progress on the analysis of neuroanatomical connection data and presents six different approaches to data analysis. The results of their application to data from cat and monkey cortex are explored. This volume sheds light on the organization of the brain that is specified by its wiring.



Evaluating Natural Language Processing Systems


Evaluating Natural Language Processing Systems
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Author : Julia Rose Galliers
language : en
Publisher:
Release Date : 1993

Evaluating Natural Language Processing Systems written by Julia Rose Galliers and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Natural language processing (Computer science) categories.


Part 3 develops a general approach to NLP evaluation, aimed at methodologically-sound strategies for test and evaluation motivated by comprehensive performance factor identification. The analysis throughout the report is supported by extensive illustrative examples."



Explainable Natural Language Processing


Explainable Natural Language Processing
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Author : Anders Søgaard
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2021-09-22

Explainable Natural Language Processing written by Anders Søgaard and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-22 with Computers categories.


This book presents a taxonomy framework and survey of methods relevant to explaining the decisions and analyzing the inner workings of Natural Language Processing (NLP) models. The book is intended to provide a snapshot of Explainable NLP, though the field continues to rapidly grow. The book is intended to be both readable by first-year M.Sc. students and interesting to an expert audience. The book opens by motivating a focus on providing a consistent taxonomy, pointing out inconsistencies and redundancies in previous taxonomies. It goes on to present (i) a taxonomy or framework for thinking about how approaches to explainable NLP relate to one another; (ii) brief surveys of each of the classes in the taxonomy, with a focus on methods that are relevant for NLP; and (iii) a discussion of the inherent limitations of some classes of methods, as well as how to best evaluate them. Finally, the book closes by providing a list of resources for further research on explainability.



The Handbook Of Computational Linguistics And Natural Language Processing


The Handbook Of Computational Linguistics And Natural Language Processing
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Author : Alexander Clark
language : en
Publisher: John Wiley & Sons
Release Date : 2013-04-24

The Handbook Of Computational Linguistics And Natural Language Processing written by Alexander Clark and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-24 with Language Arts & Disciplines categories.


This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forward Includes an introduction to the major theoretical issues in these fields, as well as the central engineering applications that the work has produced Presents the major developments in an accessible way, explaining the close connection between scientific understanding of the computational properties of natural language and the creation of effective language technologies Serves as an invaluable state-of-the-art reference source for computational linguists and software engineers developing NLP applications in industrial research and development labs of software companies



Systems And Frameworks For Computational Morphology


Systems And Frameworks For Computational Morphology
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Author : Cerstin Mahlow
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-08-19

Systems And Frameworks For Computational Morphology written by Cerstin Mahlow and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-19 with Computers categories.


This book constitutes the refereed proceedings of the Second International Workshop on Systems and Frameworks for Computational Morphology, SFCM 2011, held in Zurich, Switzerland in August 2011. The eight revised full papers presented together with one invited paper were carefully reviewed and selected from 13 submissions. The papers address various topics in computational morphology and the relevance of morphology to computational linguistics more broadly.



Natural Language Processing And Information Systems


Natural Language Processing And Information Systems
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Author : Elisabeth Métais
language : en
Publisher: Springer
Release Date : 2014-06-16

Natural Language Processing And Information Systems written by Elisabeth Métais and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-16 with Computers categories.


This book constitutes the refereed proceedings of the 19th International Conference on Applications of Natural Language to Information Systems, NLDB 2014, held in Montpellier, France, in June 2014. The 13 long papers, 8 short papers, 14 poster papers, and 7 demo papers presented together with 2 invited talks in this volume were carefully reviewed and selected from 73 submissions. The papers cover the following topics: syntactic, lexical and semantic analysis; information extraction; information retrieval and sentiment analysis and social networks.