Discourse Processing

2012년 1월 · Synthesis lectures on human language technologies 15권 · Morgan & Claypool Publishers

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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?