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draft [2009/07/15 14:38] ptacek |
draft [2009/07/16 09:14] ptacek |
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- | ====== Description of Czech Companion November Prototype ====== | ||
- | The Czech version of Companion deals with the Reminiscing about User's Photos scenario taking advantage of date 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 differs (see Figure 1). Regarding the physical settings: the Czech version runs on two notebook computers connected by local network; one can be seen as a Speech Client, running modules dealing with ASR,TTS and ECA, second as an NLP Server. | ||
- | {{user: | + | ====== Description of Czech Companion November Demonstrator ====== |
- | + | ||
- | 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' | + | |
- | typy odpovedi a zpusob jejich implementace, | + | |
- | NLP server s tectomt, ASR/TTS/SR client, connected over network | + | |
- | XXX JPta | + | |
- | + | ||
- | advances in Czech NLU (on reconstructed spoken data): 300-500vet(? | + | |
- | pos ? analyzovat, generovat a kontrolovat ' | + | |
+ | 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, | ||
+ | Our DAFs covering selected topics contain not only Companion replies mined from the corpora, but also new human-authored assessments, | ||
+ | {{user: | ||
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- | ===== Speech Reconstruction (WP 5.1 ???) ===== | + | |
- | features: omit filler phrases, irrelevant speech events, false starts, repetitions, | + | |
- | 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 | + | |
- | XXX Mirek | + | ===== Speech Reconstruction (WP 5.2) ===== |
+ | features: omit filler phrases, | ||
+ | performance indicator: BLEU score between actual output and manually reconstructed sentences from corpora | ||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
===== Morphology Analyzer and POS tagging (WP 5.2) ===== | ===== Morphology Analyzer and POS tagging (WP 5.2) ===== | ||
- | features: XXX Mirek/Johanka | + | features: |
- | performance indicator: accuracy | + | performance indicator: |
+ | |||
+ | |||
===== Syntactic Parsing (WP 5.2) ===== | ===== Syntactic Parsing (WP 5.2) ===== | ||
features: induce dependencies and labels | features: induce dependencies and labels | ||
- | performance indicator: | + | performance indicator: |
- | v tipu je natrenovat MacDonnalda na dialog datech, ten task je do M42, ted ne. | + | |
===== Semantic Parsing (WP 5.2) ===== | ===== Semantic Parsing (WP 5.2) ===== | ||
- | features: | + | features: |
- | performance indicator: | + | performance indicator: |
===== Information Extraction (WP 5.2) ===== | ===== Information Extraction (WP 5.2) ===== | ||
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covering predicates from before-mentioned set of DAFs. | covering predicates from before-mentioned set of DAFs. | ||
performance indicator: accuracy | performance indicator: accuracy | ||
+ | |||
===== Named Entities Recognition (WP 5.2) ===== | ===== Named Entities Recognition (WP 5.2) ===== | ||
- | features: detect person names, geographical locations | + | features: detect person names, geographical locations, organization names |
performance indicator: f-measure | performance indicator: f-measure | ||
+ | |||
+ | |||
+ | |||
===== Dialog Act Tagging (WP 5.2) ===== | ===== Dialog Act Tagging (WP 5.2) ===== | ||
- | features: | + | features: |
performance indicator: accuracy | performance indicator: accuracy | ||
- | ===== Sentiment Analysis (WP 5.2) ===== | ||
- | features: za tohle bych vydaval klasifikator, | ||
- | performance indicator: f-measure | ||
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- | ===== Complete System Evaluation | + | |
- | T5.2.7 tohle zminuje, nick webb to pro nas asi neudela | + | ===== Dialog Manager (WP 5.3) ===== |
- | performance indicator: number | + | features: integrated DAF-based dialog manager from previous English prototype, |
+ | manual creation | ||
+ | performance indicator: acceptability | ||
- | ===== Dialog Manager (WP 5.3) ===== | ||
- | features: reply types, using (language independed) predicates (prakticky to znamena, ze pojmenuju testy na prechodech v dafech anglicky) | ||
- | performance indicator: rucni hodnoceni prijatelnosti vybrane akce | ||
===== Natural Language Generation (WP 5.4) ===== | ===== Natural Language Generation (WP 5.4) ===== | ||
- | features: | + | features: |
performance indicator: BLEU score | 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, | ||
+ | |||
+ | |||
+ | |||
+ | --------------cut here---------------- | ||
+ | |||
+ | ====== 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, | ||
+ | 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(? | ||
+ | pos ? analyzovat, generovat a kontrolovat ' |