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draft [2009/07/15 15:45]
ptacek
draft [2009/07/15 15:59]
ptacek
Line 14: Line 14:
 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
 +
  
  
Line 76: Line 72:
 features: domain tailored tagset (variation of DAMSL-SWBD) features: domain tailored tagset (variation of DAMSL-SWBD)
 performance indicator: accuracy performance indicator: accuracy
 +
 +
 +
  
  
Line 82: Line 81:
 ===== Dialog Manager (WP 5.3) ===== ===== Dialog Manager (WP 5.3) =====
 features: reply types, using (language independed) predicates (prakticky to znamena, ze pojmenuju testy na prechodech v dafech anglicky) 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 +Manually created DAFs covering following topics: Person_Retired, Person_in_productive_age, Child, Husband, Wife, Wedding, Death, Christmas, Handle_stalled_dialog (most frequent topics in corpora) 
-performance indicator: rucni hodnoceni prijatelnosti vybrane akce+performance indicator: acceptability - manual evaluation of actions selected by DM 
 + 
 + 
  
 ===== Natural Language Generation (WP 5.4) ===== ===== Natural Language Generation (WP 5.4) =====
-features: variations, underspecified input (dott format), emotional markup (natvrdo v dafech a templatech u hodnoticich vet)+features: morphological adjustments, generating paraphrases for hard-coded utterances, underspecified input (dott format), passing-through emotional markup (natvrdo v dafech a templatech u hodnoticich vet)
 performance indicator: BLEU score performance indicator: BLEU score
  
Line 92: Line 94:
 ====== AZ PO LISTOPADU ====== ====== AZ PO LISTOPADU ======
  
-===== Complete System Evaluation ===== +===== Syntactic Parsing (WP 5.2) ===== 
-T5.2.7 tohle zminuje, nick webb to pro nas asi neudela +features: adapted to domain (McD trained on manual PDTSC trees) 
-performance indicator: number of tokens in user reply utterancespost-session questionare+performance indicator: accuracy (correctly induced edgeslabels) 
  
 ===== Sentiment Analysis (WP 5.2) ===== ===== Sentiment Analysis (WP 5.2) =====
Line 100: Line 103:
 performance indicator: f-measure 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
  
 +
 +===== advances =====
 +
 +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?

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