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draft [2009/07/15 15:39]
ptacek 		draft [2009/07/15 15:52]
ptacek
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 NLP server s tectomt, ASR/TTS/SR client, connected over network NLP server s tectomt, ASR/TTS/SR client, connected over network
 XXX JPta XXX JPta
- 
-advances in Czech NLU (on reconstructed spoken data): 300-500vet(?) rucne anotovat pos, a-tree, t-tree, IE predicates, Named Entities, DA pro eval in-domain testy after Nov. 
-pos ? analyzovat, generovat a kontrolovat 'jen' kde je rozdil ve forme? 
- 
- 
  
  
Line 44: Line 39:
 features: coverage of photo-pal domain, domain adapted tagger (XXX prida nam Jarka OOV slova co najdeme, bude PDTSC rucne oznackovane - do listopadu?) features: coverage of photo-pal domain, domain adapted tagger (XXX prida nam Jarka OOV slova co najdeme, bude PDTSC rucne oznackovane - do listopadu?)
 performance indicator: OOV rate, accuracy performance indicator: OOV rate, accuracy
 +
  
  
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-===== Sentiment Analysis (WP 5.2) ===== 
-features: za tohle bych vydaval klasifikator, co rozhoduje ,jestli se rekne 'To je smutné/veselé'. Tem adjektivum rucne priradim negative/positive sentiment. 
-performance indicator: f-measure 
  
  
  
  
 +===== Dialog Manager (WP 5.3) =====
 +features: reply types, using (language independed) predicates (prakticky to znamena, ze pojmenuju testy na prechodech v dafech anglicky)
 +Manually created DAFs covering following topics: Person_Retired, Person_in_productive_age, Child, Husband, Wife, Wedding, Death, Christmas, Handle_stalled_dialog
 +performance indicator: acceptability - manual evaluation of actions selected by DM
  
  
  
-===== Complete System Evaluation ===== +===== Natural Language Generation (WP 5.4) ===== 
-T5.2.7 tohle zminuje, nick webb to pro nas asi neudela +features: morphological adjustments, paraphrases for hard-coded utterances, underspecified input (dott format), passing-through emotional markup (natvrdo v dafech a templatech u hodnoticich vet) 
-performance indicator: number of tokens in user reply utterances, post-session questionare+performance indicator: BLEU score
  
  
 +====== AZ PO LISTOPADU ======
  
 +===== Syntactic Parsing (WP 5.2) =====
 +features: adapted to domain (McD trained on manual PDTSC trees)
 +performance indicator: accuracy (correctly induced edges, labels)
  
-===== Dialog Manager (WP 5.3) ===== 
-features: reply types, using (language independed) predicates (prakticky to znamena, ze pojmenuju testy na prechodech v dafech anglicky) 
-Handmade DAF covering following topics: Person_Retired, Person_in_productive_age, Child, Husband, Wife, Wedding, Christmas, Handle_stalled_dialog 
-performance indicator: rucni hodnoceni prijatelnosti vybrane akce 
  
-===== Natural Language Generation (WP 5.4) ===== +===== Sentiment Analysis (WP 5.2) ===== 
-features: variations, underspecified input (dott format), emotional markup (natvrdo v dafech a templatech u hodnoticich vet) +features: za tohle bych vydaval klasifikator, co rozhoduje ,jestli se rekne 'To je smutné/veselé'. Tem adjektivum rucne priradim negative/positive sentiment. 
-performance indicator: BLEU score+performance indicator: f-measure 
 + 
 +===== Complete System Evaluation ===== 
 +T5.2.7 tohle zminuje, nick webb to pro nas asi neudela 
 +performance indicator: number of tokens in user reply utterances, post-session questionare

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