0315_disc_cohere

0315_disc_cohere - Discourse coherence Ted Gibson courtesy of Florian Wolf Gibson lab MIT 1 Bill hid John’s car keys He was drunk It was not the

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Unformatted text preview: Discourse coherence Ted Gibson, courtesy of Florian Wolf March 15, 2005 Gibson lab, MIT 1. Bill hid John’s car keys. He was drunk. It was not the first time that John got that drunk. 2. ?Bill hid John’s car keys. He likes spinach. She said it works well. What makes (1) coherent and (2) incoherent? Gibson lab, MIT Overview 1. Coherence relations – basics / working vocabulary • What is the informational structure of a discourse? (discourse = collection of sentences that are in some relation to each other) 2. Implications of coherence – pronoun resolution • How does discourse structure influence other aspects of language processing? Example: pronoun resolution 3. Current theories of discourse coherence • How can we represent discourse structure? (cf. lecture on sentence structure) 4. Constraints on building discourse structures • How can we determine discourse structure? (cf. lecture on parsing) Gibson lab, MIT 1.) Coherence relations – basics / working vocabulary Gibson lab, MIT Working vocabulary Coherence relations in their basic form have a long history: Gibson lab, MIT Aristotle (4 th cent. BC) Hume (18 th cent.) Boccaccio (14 th cent.) Working vocabulary 1. Causal relations: Cause-Effect: Gibson lab, MIT Working vocabulary 1. Causal relations: Cause-Effect: John is dishonest because he is a politician Gibson lab, MIT Working vocabulary 1. Causal relations: Cause-Effect: John is dishonest because he is a politician effect cause Gibson lab, MIT Working vocabulary 1. Causal relations: Violated Expectation: Gibson lab, MIT John is honest although he is a politician John is honest although he is a politician Working vocabulary 1. Causal relations: Violated Expectation: John is honest although he is a politician Gibson lab, MIT Working vocabulary 1. Causal relations: Violated Expectation: John is honest although he is a politician Gibson lab, MIT Working vocabulary 1. Causal relations: Violated Expectation: John is honest although he is a politician John is a politician Gibson lab, MIT John is dishonest Working vocabulary 1. Causal relations: Violated Expectation: John is honest although he is a politician Gibson lab, MIT John is dishonest although John is a politician Working vocabulary 1. Causal relations: Condition: Gibson lab, MIT Working vocabulary 1. Causal relations: Condition: If someone is a politician he / she is dishonest Gibson lab, MIT Working vocabulary 1. Causal relations: Condition: If someone is a politician he / she is dishonest If… …then… Gibson lab, MIT Working vocabulary 2. Resemblance relations: Parallel: Gibson lab, MIT Working vocabulary 2. Resemblance relations: Parallel: John organized rallies for Clinton, and Fred distributed pamphlets for him Gibson lab, MIT Working vocabulary 2. Resemblance relations: Parallel: John organized rallies for Clinton, and Fred distributed pamphlets for him Gibson lab, MIT Working vocabulary 2. Resemblance relations: Parallel: John organized rallies for Clinton, and Fred distributed pamphlets for him Gibson lab, MIT Working vocabulary 2. Resemblance relations: Contrast: Gibson lab, MIT Working vocabulary...
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This note was uploaded on 11/11/2011 for the course BIO 9.07 taught by Professor Ruthrosenholtz during the Spring '04 term at MIT.

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0315_disc_cohere - Discourse coherence Ted Gibson courtesy of Florian Wolf Gibson lab MIT 1 Bill hid John’s car keys He was drunk It was not the

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