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--- draft [2009/07/15 23:21]
ptacek
+++ draft [2009/07/16 09:50]
ptacek
@@ Line 4: / Line 4: @@
+====== Description of Czech Companion November Demonstrator ======
+The Czech version of the Companion deals with the Reminiscing about User's Photos scenario, taking advantage of data recorded in first phase of the project. The basic architecture is same as of the English version, i.e. set of modules communicating through the Inamode Relayer (TID) backbone; however the set of modules is different (see Figure 1). Regarding the physical settings, the Czech version runs on two notebook computers connected by a local network; one can be seen as a Speech Client, running modules dealing with ASR, TTS and ECA, second as an NLP Server.
-====== Description of Czech Companion November Demostrator ======
+The dialog is driven by a dialog manager component by USFD (originally developed for the English Senior Companion prototype), we supply the transition network (DAFs). The selection is backed by (a) appropriateness for the type of dialog we aim for (the corpus reveals frequent reoccurring topics to be handled by DAFs) , (b) availability of mature package within time frame that allows for integration, (c) possibility of reusing created DAF states, tests and specified actions for the upcoming statistical DM by UOXF (however this is post November work).
-The Czech version of the Companion deals with the Reminiscing about User's Photos scenario, taking advantage of data recorded in first phase of the project. The basic architecture is same as of the English version, i.e. set of modules communicating through the Inamode Relayer (TID) backbone; however the set of modules is different (see Figure 1). Regarding the physical settings, the Czech version runs on two notebook computers connected by a local network; one can be seen as a Speech Client, running modules dealing with ASR, TTS and ECA, second as an NLP Server.
-The dialog is driven by a dialog manager component by USFD (originally developed for the English Senior Companion prototype). The selection is backed by (a) appropriateness for the type of dialog we aim for (the corpus reveals frequent reoccurring topics to be handled by DAFs) , (b) availability of mature enough package within time frame that allows for integration, (c) possibility of reuse of DAF states and actions for the upcoming statistical DM by UOXF (however this is post November work).
+Our DAFs covering selected topics contain not only Companion replies mined from the corpora, but also new human-authored assessments, remarks and glosses to provide longer system utterances in order to encourage user to tell more.
-{{user:ptacek:czech_companion_diagram.png.jpg|}}
+{{user:ptacek:czech_companion_diagram.png|}}
@@ Line 24: / Line 24: @@
-===== Speech Reconstruction (WP 5.1 ???) =====
+===== Speech Reconstruction (WP 5.2) =====
 features: omit filler phrases, remove irrelevant speech events, handle false starts, repetitions, and corrections, polish word ordering
 performance indicator: BLEU score between actual output and manually reconstructed sentences from corpora (T5.2.1), baseline: Moses with default settings
@@ Line 34: / Line 37: @@
 ===== Morphology Analyzer and POS tagging (WP 5.2) =====
-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
 performance indicator: OOV rate, accuracy
@@ Line 49: / Line 52: @@
 ===== Semantic Parsing (WP 5.2) =====
-features: assignment of semantic roles (69 roles), coordinations, argument structure, partial ellipsis resolution, pronominal anaphora resolution, post parsing detection of ungrammatical edges (caused by long utterances)
+features: assignment of semantic roles (69 roles), coordinations, argument structure, partial ellipsis resolution, pronominal anaphora resolution, post parsing detection of ungrammatical edges (caused by long user utterances)
 performance indicator: accuracy (correctly induced edges, labels)
@@ Line 67: / Line 70: @@
 ===== Dialog Act Tagging (WP 5.2) =====
-features: domain tailored tagset (variation of DAMSL-SWBD)
+features: domain tailored tag-set (variation of DAMSL-SWBD)
 performance indicator: accuracy
@@ Line 79: / Line 83: @@
 ===== Dialog Manager (WP 5.3) =====
 features: integrated DAF-based dialog manager from previous English prototype,
-manual creation of DAFs covering following topics: Person_retired, Person_in_productive_age, Child, Husband, Wife, Wedding, Christmas, Death, Handling_stalled_dialog (most frequent topics in corpora), using customized DAF Editor provided by USFD. DAFs for listed topics containing Companion replies found in corpus are being enriched by human authored assessment statements, remarks and glosses in order to provide longer system utterances.
+manual creation of DAFs covering following topics: Person_retired, Person_in_productive_age, Child, Husband, Wife, Wedding, Christmas, Death, Handling_stalled_dialog (most frequent topics in corpora), using customized DAF Editor provided by USFD.
 performance indicator: acceptability - manual evaluation of actions selected by DM
@@ Line 95: / Line 99: @@
 ===== Emotional TTS (WP 5.5) =====
 features: emotions will be expressed implicitly, through the usage of communicative functions; new female voice database was recorded for this purposes
-perfomance indicator: listening tests
+performance indicator: listening tests
@@ Line 101: / Line 107: @@
 features: new Czech female voice with affective features will be integrated with the TID avatar
 performance indicator: subjective evaluation of the naturalness and the ability to convey emotions (small-scale, given the time constraint)
-====== 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?{{user:ptacek:czech_companion_diagram.png.jpg|}}

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