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draft [2009/07/15 15:50] ptacek |
draft [2009/07/16 09:49] ptacek |
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+ | ====== Description of Czech Companion November Demonstrator ====== | ||
- | ====== Description of Czech Companion November Prototype ====== | + | 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 |
- | + | ||
- | 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 | + | |
- | + | ||
- | 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 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 ???) ===== | + | |
+ | ===== Speech Reconstruction (WP 5.2) ===== | ||
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, domain adapted tagger | + | features: coverage of photo-pal domain, domain adapted tagger |
performance indicator: OOV rate, accuracy | performance indicator: OOV rate, accuracy | ||
+ | |||
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features: induce dependencies and labels | features: induce dependencies and labels | ||
performance indicator: accuracy (correctly induced edges, labels) | performance indicator: accuracy (correctly induced edges, labels) | ||
- | v tipu je natrenovat MacDonnalda na dialog datech, ten task je do M42, ted ne. | ||
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===== Semantic Parsing (WP 5.2) ===== | ===== Semantic Parsing (WP 5.2) ===== | ||
- | features: assignment of semantic roles (69 roles), coordinations, | + | features: assignment of semantic roles (69 roles), coordinations, |
performance indicator: accuracy (correctly induced edges, labels) | performance indicator: accuracy (correctly induced edges, labels) | ||
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===== Named Entities Recognition (WP 5.2) ===== | ===== Named Entities Recognition (WP 5.2) ===== | ||
- | features: detect person names, geographical locations, | + | features: detect person names, geographical locations, |
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: domain tailored | + | features: domain tailored |
performance indicator: accuracy | performance indicator: accuracy | ||
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===== Dialog Manager (WP 5.3) ===== | ===== Dialog Manager (WP 5.3) ===== | ||
- | features: | + | features: |
- | Manually created | + | manual creation of DAFs covering following topics: |
- | performance indicator: | + | performance indicator: |
+ | |||
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===== Natural Language Generation (WP 5.4) ===== | ===== Natural Language Generation (WP 5.4) ===== | ||
- | features: morphological adjustments, | + | features: |
performance indicator: BLEU score | performance indicator: BLEU score | ||
- | ====== AZ PO LISTOPADU ====== | ||
- | ===== Syntactic Parsing | + | ===== Emotional TTS (WP 5.5) ===== |
- | features: | + | features: |
- | performance indicator: | + | performance indicator: |
- | ===== Sentiment Analysis (WP 5.2) ===== | ||
- | features: za tohle bych vydaval klasifikator, | ||
- | performance indicator: f-measure | ||
- | ===== Complete System Evaluation | + | ===== Emotional Avatar Integration (WP 5.5) ===== |
- | T5.2.7 tohle zminuje, nick webb to pro nas asi neudela | + | features: new Czech female voice with affective features will be integrated with the TID avatar |
- | performance indicator: | + | performance indicator: |
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