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draft [2009/07/15 15:14] ptacek |
draft [2009/07/15 23:20] ptacek |
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- | ====== Description of Czech Companion November | + | ====== Description of Czech Companion November |
- | + | ||
- | The Czech version of 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 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. | + | |
- | + | ||
- | 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). 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, | ||
+ | {{user: | ||
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features: omit filler phrases, remove irrelevant speech events, handle false starts, repetitions, | features: omit filler phrases, remove irrelevant speech events, handle false starts, repetitions, | ||
performance indicator: BLEU score between actual output and manually reconstructed sentences from corpora (T5.2.1), baseline: Moses with default settings | performance indicator: BLEU score between actual output and manually reconstructed sentences from corpora (T5.2.1), baseline: Moses with default settings | ||
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===== Morphology Analyzer and POS tagging (WP 5.2) ===== | ===== Morphology Analyzer and POS tagging (WP 5.2) ===== | ||
- | features: coverage of photo-pal domain | + | features: coverage of photo-pal domain, domain adapted tagger |
performance indicator: OOV rate, accuracy | performance indicator: OOV rate, accuracy | ||
+ | |||
+ | |||
+ | |||
===== 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 | ||
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+ | |||
+ | |||
===== Dialog Act Tagging (WP 5.2) ===== | ===== Dialog Act Tagging (WP 5.2) ===== | ||
- | features: tagset | + | 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 | + | ===== Dialog Manager (WP 5.3) ===== |
- | T5.2.7 tohle zminuje, nick webb to pro nas asi neudela | + | features: integrated DAF-based dialog manager from previous English prototype, |
- | performance indicator: | + | manual creation of DAFs covering following topics: Person_retired, |
+ | performance indicator: | ||
- | ===== 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, | ||
- | 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 | ||
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+ | ===== 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 | ||
+ | |||
+ | |||
+ | ===== 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, | ||
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+ | |||
+ | ====== 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, | ||
+ | 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 ' |