Discourse processing

Discourse processing [electronic resource] / Manfred Stede.

Discourse Processing here is framed as marking up a text with structural descriptions on several levels, which can serve to support many language-processing or text-mining tasks. We first explore some ways of assigning structure on the document level: the logical document structure as determined by...

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Bibliographic Details
Online Access: Full Text (via Morgan & Claypool)
Main Author: Stede, Manfred, 1965-
Format: Electronic eBook
Language:English
Published: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, ©2012.
Series:Synthesis lectures on human language technologies (Online) ; # 15.
Subjects:
Discourse analysis.
Computational linguistics.
Table of Contents:
  • 1. Introduction
  • 2. Large discourse units and topics
  • 2.1 Genre-induced text structure
  • 2.1.1 Logical document structure
  • 2.1.2 Content zones
  • 2.1.3 Example: scientific papers
  • 2.1.4 Example: film reviews
  • 2.2 Topic-based segmentation
  • 2.2.1 Introduction: "What is this all about?"
  • 2.2.2 Exploiting surface cues
  • 2.2.3 Lexical chains
  • 2.2.4 Word distributions
  • 2.2.5 Probabilistic models of segmentation and topics
  • 2.2.6 Combining evidence
  • 2.3 Summary
  • 3. Coreference resolution
  • 3.1 Reference and coreference: an overview
  • 3.2 Corpus annotation
  • 3.3 Entity-based local coherence
  • 3.4 Determining anaphoricity and familiarity status
  • 3.5 Rule-based methods for resolving nominal anaphora
  • 3.5.1 Matching proper names
  • 3.5.2 Pronoun resolution
  • 3.5.3 Resolving definite noun phrases
  • 3.5.4 Web-assisted resolution of 'Other'-anaphora
  • 3.6 Statistical approaches to coreference resolution
  • 3.6.1 Features
  • 3.6.2 Mention-pair models
  • 3.6.3 Alternative models
  • 3.7 Evaluation
  • 3.8 Summary
  • 4. Small discourse units and coherence relations
  • 4.1 Coherence relations
  • 4.2 Segmentation: finding elementary discourse units
  • 4.2.1 Defining EDUs
  • 4.2.2 A subproblem: attribution
  • 4.2.3 Automatic EDU segmentation
  • 4.3 Recognizing coherence relations
  • 4.3.1 Connectives: an introduction
  • 4.3.2 Identifying connectives
  • 4.3.3 Interpreting connectives
  • 4.3.4 Detecting implicit coherence relations
  • 4.3.5 Finding relations: the problem at large
  • 4.4 Coherence-relational text structure
  • 4.4.1 Trees
  • 4.4.2 Parsing coherence-relational trees
  • 4.4.3 Graphs
  • 4.5 Summary: guessing or underspecifying?
  • 5. Summary: text structure on multiple interacting levels
  • A. Sample text
  • Bibliography
  • Author's biography.

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