Applied Natural Language Processing: Identification, Investigation and Resolution, 1st Edition

  • Philip M. McCarthy
  • Published By:
  • ISBN-10: 1609607422
  • ISBN-13: 9781609607425
  • DDC: 006.3
  • Grade Level Range: College Freshman - College Senior
  • 659 Pages | eBook
  • Original Copyright 2012 | Published/Released November 2012
  • This publication's content originally published in print form: 2012

  • Price:  Sign in for price



The amount of information that humans have gathered and made available to other humans is phenomenal, yet however large this repository of knowledge is, by this time tomorrow, it will be larger still. APPLIED NATURAL LANGUAGE PROCESSING: IDENTIFICATION, INVESTIGATION AND RESOLUTION is a volume dedicated to the successful application of processing tools to this information. The majority of this knowledge is expressed through textual media, which requires these tools to utilize the research in the field of Applied Natural Language Processing. This book contains state-of-the-art Applied Natural Language Processing techniques as well as their applications. The descriptions and studies are the product of established researchers in fields relating to ANLP, and this work is relevant to teachers, students, and materials developers in fields spanning computer science, linguistics, and cognitive science.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Editorial Advisory Board.
Table of Contents.
Detailed Table of Contents.
1: Foundations: The Role of NLP.
2: Question Answering and Generation.
3: Portable Text Summarization.
4: Discourse Analysis and ANLP.
5: NLP for Search.
6: Data Mining.
7: Dialogue Acts and Dialogue Structure.
8: Text-to-Text Similarity of Sentences.
9: Practical Programming for NLP.
10: Successful ANLP Applications or Systems.
11: LSA in the Classroom.
12: AutoTutor.
13: Coh-Metrix: An Automated Tool for Theoretical and Applied Natural Language Processing.
14: Linguistic Inquiry and Word Count (LIWC): Pronounced “Luke,” … and Other Useful Facts.
15: HiDEx: The High Dimensional Explorer.
16: Computational Aspects of the Intelligent Tutoring System MetaTutor.
17: Applying NLP Metrics to Students' Self-Explanations.
18: Computer-Aided Rhetorical Analysis.
19: New Research in ANLP.
20: The Writing-Pal: Natural Language Algorithms to Support Intelligent Tutoring on Writing Strategies.
21: The Gramulator: A Tool to Identify Differential Linguistic Features of Correlative Text Types.
22: The Role of Textual Graph Patterns in Discovering Event Causality.
23: Play-by-Play Learning for Textual User Interfaces.
24: Computationally Assessing Expert Judgments of Freewriting Quality.
25: Morphological Analysis of Ill-Formed Arabic Verbs for Second Language Learners.
26: Dynamic Effects of Repeating a Timed Writing Task in Two EFL University Courses: Multi-Element Text Analysis with Coh-Metrix.
27: A Comparative Study of an Unsupervised Word Sense Disambiguation Approach.
28: Interlanguage Talk: A Computational Analysis of Non-Native Speakers' Lexical Production and Exposure.
29: Maximizing ANLP Evaluation: Harmonizing Flawed Input.
30: Newness and Givenness of Information: Automated Identification in Written Discourse.
31: Semantic Methods for Textual Entailment.
32: Mining and Visualizing the Narration Tree of Hadiths (Prophetic Traditions).
33: Using Event Semantics for Toponym Disambiguation.
34: Evaluation of Narrative and Expository Text Summaries Using Latent Semantic Analysis.
35: Using LIWC and Coh-Metrix to Investigate Gender Differences in Linguistic Styles.
Compilation of References.
About the Contributors.