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--- draft [2009/07/14 16:09]
ptacek
+++ draft [2009/07/16 09:11]
ptacek
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-====== Description of Czech Companion November Prototype ======
+====== Progress Report ======
-photopal domena, nahranej korpus, ze na to sou dafy (reusing SHEFF DM intergrated through Inamode Relayer (TID)) vhodny, moreover reusable for expected pomdp DM from UOX (reuse states, let pomdp's do the topology and handle the states transitions, post november work),
+[[Progress Report]] - dal jsem to na zvlastni stranku, abysme si nelezli do zeli
-typy odpovedi a zpusob jejich implementace, rucne vyrobene dafy pro nasledujici topics: Person_Retired, Person_in_productive_age, Child, Husband, Wife, Wedding, Christmas, Handle_stalled_dialog
-NLP server s tectomt, ASR/TTS/SR client, connected over network
-XXX JPta
-advances in Czech NLU (on reconstructed spoken data): 100vet(?) rucne anotovat pos, a-tree, t-tree, IE predicates, Named Entities, DA pro eval in-domain testy
-pos ? analyzovat, generovat a kontrolovat 'jen' kde je rozdil ve forme?
-===== Speech Reconstruction =====
-features: omit filler phrases, irrelevant speech events, false starts, repetitions, corrections, syntax smoothing (WO,
-imlementation(zahrnout tuhle info?): moses natrenovany na korpusu
-performance indicator: BLEU score (overall scoring of all features) to annotated corpora from T5.2.1., nejaka baseline
-XXX Mirek
-===== Morphology Analyzer and POS tagging =====
-features: XXX Mirek/Johanka
-performance indicator: accuracy
-===== Syntactic Parsing =====
+====== 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.
+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).
+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|}}
+===== Automatic Speech Recognition (WP 5.1)=====
+features: improved language models, real-time speaker adaptation
+performance indicator: WER
+===== 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
+===== 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 - Mirek uz vyrabi list, bude PDTSC rucne oznackovane - do listopadu?)**
+performance indicator: OOV rate, accuracy
+===== Syntactic Parsing (WP 5.2) =====
 features: induce dependencies and labels
-performance indicator: f-measure
+performance indicator: accuracy (correctly induced edges, labels)
-v tipu je natrenovat MacDonnalda na dialog datech, ten task je do M42, ze bysme
-===== Semantic Parsing =====
-features: meaning representation with semantic roles (69 labels), coordinations, argument structure, partial ellipsis resolution, pronominal anaphora resolution,
-performance indicator: f-measure
-===== Information Extraction =====
+===== 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 user utterances)
+performance indicator: accuracy (correctly induced edges, labels)
+===== Information Extraction (WP 5.2) =====
 features: template based identification of predicates
 covering predicates from  before-mentioned set of DAFs.
 performance indicator: accuracy
-===== Named Entities Recognition =====
-features: detect person names, geographical locations (organizations jsou potreba?)
+===== Named Entities Recognition (WP 5.2) =====
+features: detect person names, geographical locations, organization names
 performance indicator: f-measure
-===== Dialog Act Tagging =====
-features: tagset derived from DAMSL-SWBD, DA is a key feature driving
-performance indicator:
-===== Sentiment Analysis =====
-features:
-performance indicator:
+===== Dialog Act Tagging (WP 5.2) =====
+features: domain tailored tag-set (variation of DAMSL-SWBD)
+performance indicator: accuracy
+===== 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.
+performance indicator: acceptability - manual evaluation of actions selected by DM
+===== Natural Language Generation (WP 5.4) =====
+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
+===== 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
+performance indicator: listening tests
+===== Emotional Avatar Integration (WP 5.5) =====
+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)
+--------------cut----------------
+====== AZ PO LISTOPADU (NENI SOUCASTI ZPRAVY PRO PO) ======
+===== 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: pocet slov ve vypovedich uzivatele(?),
+performance indicator: number of tokens in user reply utterances, post-session questionare
-===== Dialog Manager =====
+===== advances =====
-features: reply types, using (language independed) predicates (prakticky to znamena, ze pojmenuju testy na prechodech v dafech anglicky)
-performance indicator: rucni hodnoceni prijatelnosti vypovedi
-===== Natural Language Generation =====
+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.
-features: variations, underspecified input (dott format), emotional markup (natvrdo v dafech a templatech u hodnoticich vet)
+pos ? analyzovat, generovat a kontrolovat 'jen' kde je rozdil ve forme?
-performance indicator: BLEU score

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