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Discourse Markers

Discourse Markers. Discourse & Dialogue CS 35900 November 25, 2006. Agenda. Definition Motivation Understanding Discourse Markers in Human-Human Dialogue Using Discourse Markers in HCI Structuring instructions Improving recognition Recognizing conversational and dialogue acts.

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Discourse Markers

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  1. Discourse Markers Discourse & Dialogue CS 35900 November 25, 2006

  2. Agenda • Definition • Motivation • Understanding Discourse Markers in Human-Human Dialogue • Using Discourse Markers in HCI • Structuring instructions • Improving recognition • Recognizing conversational and dialogue acts

  3. Discourse Markers • “Cue”/”Clue” phrases • E.g.“By the way”, “so”, “now”, “anyway” • Signal discourse structure • E.g. asides, new topics, returns • Signal relations between segments • Cohesion, continuation, contrast, etc • Appropriate use clarifies dialogue • Misuse causes confusion

  4. Lost in the Mail (Application) • U: Read old messages. • S:Skipping to first old message. Message 1 from Shaw Wen Yang, Subject: Question • U: Read it to me. • S: Call me about the tool, shaw x22630 • U:Send a reply. • S:Preparing message to shaw. Do you want to include the current message? • U: Yes • S:Begin recording after the tone……Say cancel, send or review. • U: Send • S: Message sent. • U: <silence>….<touch tones>...

  5. Why Discourse Markers? • Prevalent: • Begin 65% human-human task utterances • 44% excluding acknowledgments • Related to discourse meaning/structure • How do linguistic features of DMs interact with discourse properties to create function? • What is the scope? • At what level is relationship marked? • How do meanings contribute to function?

  6. Discourse Relations • Markers apply on different planes of talk • exchange, action, idea, participation framework, information status • E.g. ‘oh’: primary: info state; 2nd: action, participation • Semantics and syntax contribute to role of DM • E.g. “so” -> result • Mark or disambiguate relations • Don’t create relations

  7. Levels of Contribution • Wide scope -> less communicative force • Narrow scope -> more communicative force • More markers -> decrease individual impact • Clearer discourse structure -> fewer DMs

  8. Indexical Relations • Utterance situated with respect to • Speaker, hearer, time, place • Discourse markers related to context • Proximal (near) vs distal (far) relations • Linkage to preceding/following utterance • preceding - “oh” - proximal; “well”: link pre & post • Speaker - proximal =“oh”; hearer- distal

  9. Discourse Markers & Coherence • Establish coherence by • Locate utterance on “plane of talk” • Exchange, action, idea, participation frame, info status, etc • Turn-taking, task step, semantics, attitude, etc • Index local context reference for interpretation • Establish direction of relation to surrounding utts

  10. A Solution • U: Read old messages. • S:Skipping to first old message. Message 1 from Shaw Wen Yang, Subject: Question • U: Read it to me. • S: Call me about the tool, shaw x22630 • U:Send a reply. • S:Preparing message to shaw. Do you want to include the current message? • U: Yes • S:Begin recording after the tone……Say cancel, send or review. • U: Send • S: Message sent. What now? • U: Next message.

  11. Generating Discourse Markers • Integrate intentional & informational • Grosz & Sidner; Mann & Thompson • Identify nuclear DSP and contributing relations • Pairwise relations of rhetorical types (intent) • E.g. concession:nucleus • Relations based on task/domain (inform) • E.g. step:prev-result • Interpret cues wrt discourse structure/relations • “since”: contributor:nucleus;”because”:nucleus:contributor • No duplication of cues within embedded relations • Duplicate in sequence

  12. Characterizing Discourse Markers • Problem: Ambiguity • Discourse use vs sentential use • E.g. “now”: Topic initiation vs temporal meaning • Overall: 1/3 ambiguous; coord conj: ½ • Disambiguation: • Prosody: 84% (non-conj: 93%) • DM: own intermediate phrase; or first, no accent • Sentence: no separation, H* or complex accent • Text: 89% • DM: preceding punctuation • POS weaker cue

  13. Improving Recognition • Discourse markers as special case of POS tagging • POS = part of speech • E.g. noun, verb, conjunction, etc • Discourse marker POS: • Acknowledgment: “okay”; “uh-huh” • Interjection DM: “oh”,”well” • Conjunction DM: “and”,”but” • Adverb DM: “now”,”then”

  14. Recognizing Markers • Build joint model of word+POS recognition • Expand ASR model • Build decision trees to identify equivalences • Handle sparseness • Build binary classification trees • Successive merging with least information loss • Apply to POS and word+POS pairs • Cluster unambiguously • Joint modeling improves POS tagging • Additional discourse features further improve • Boundary tones, repairs, silence

  15. Discourse Markers & Structure • Discourse markers correlated with conversational moves • E.g. “so”- summarize; “well” - dissent • Discourse markers NOT correlated with subsequent speech acts • Correlated with PRIOR talk • Previous turn initiates adjacency pair -> no DM • Previous turn concludes adjacency pair -> DM • Clear expectation: no DM; unclear -> DM

  16. Discourse Markers • Short cue word, phrases that signal • relation of utterance to its context • locate utterance in the “plane” of talk • Important role in disambiguating meanings • Signal shift in topic • Signal changes in footing • Key in loosely organized contexts

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