{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

0315_disc_cohere

0315_disc_cohere - Discourse coherence Ted Gibson courtesy...

Info iconThis preview shows pages 1–23. Sign up to view the full content.

View Full Document Right Arrow Icon
Discourse coherence Ted Gibson, courtesy of Florian Wolf March 15, 2005 Gibson lab, MIT
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
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
Background image of page 2
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
Background image of page 3

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
1.) Coherence relations – basics / working vocabulary Gibson lab, MIT
Background image of page 4
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.)
Background image of page 5

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Working vocabulary 1. Causal relations: Cause-Effect: Gibson lab, MIT
Background image of page 6
Working vocabulary 1. Causal relations: Cause-Effect: John is dishonest because he is a politician Gibson lab, MIT
Background image of page 7

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Working vocabulary 1. Causal relations: Cause-Effect: John is dishonest because he is a politician effect cause Gibson lab, MIT
Background image of page 8
Working vocabulary 1. Causal relations: Violated Expectation: Gibson lab, MIT John is honest although he is a politician although he is a politician
Background image of page 9

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Working vocabulary 1. Causal relations: Violated Expectation: John is honest although he is a politician Gibson lab, MIT
Background image of page 10
Working vocabulary 1. Causal relations: Violated Expectation: John is honest although he is a politician Gibson lab, MIT
Background image of page 11

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
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
Background image of page 12
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
Background image of page 13

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Working vocabulary 1. Causal relations: Condition: Gibson lab, MIT
Background image of page 14
Working vocabulary 1. Causal relations: Condition: If someone is a politician he / she is dishonest Gibson lab, MIT
Background image of page 15

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Working vocabulary 1. Causal relations: Condition: If someone is a politician he / she is dishonest If… …then… Gibson lab, MIT
Background image of page 16
Working vocabulary 2. Resemblance relations: Parallel: Gibson lab, MIT
Background image of page 17

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Working vocabulary 2. Resemblance relations: Parallel: John organized rallies for Clinton, and Fred distributed pamphlets for him Gibson lab, MIT
Background image of page 18
Working vocabulary 2. Resemblance relations: Parallel: John organized rallies for Clinton, and Fred distributed pamphlets for him Gibson lab, MIT
Background image of page 19

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Working vocabulary 2. Resemblance relations: Parallel: John organized rallies for Clinton, and Fred distributed pamphlets for him Gibson lab, MIT
Background image of page 20
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}