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--- draft [2009/07/15 15:39]
ptacek
+++ draft [2009/07/15 16:02]
ptacek
@@ Line 14: / Line 14: @@
 NLP server s tectomt, ASR/TTS/SR client, connected over network
 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?)
 performance indicator: OOV rate, accuracy
@@ Line 49: / Line 46: @@
 features: induce dependencies and labels
 performance indicator: accuracy (correctly induced edges, labels)
-v tipu je natrenovat MacDonnalda na dialog datech, ten task je do M42, ted ne.
@@ Line 78: / Line 74: @@
-===== 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
@@ Line 86: / Line 79: @@
+===== 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 (most frequent topics in corpora)
+performance indicator: acceptability - manual evaluation of actions selected by DM
-===== 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) =====
-features: variations, underspecified input (dott format), emotional markup (natvrdo v dafech a templatech u hodnoticich vet)
+features: adding of functional words, morphological adjustments, generating paraphrases for hard-coded utterances, underspecified input (dott format), passing-through of emotional markup (originating in DAFs)
 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)
+===== 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
+===== 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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