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draft [2009/07/14 16:11] ptacek |
draft [2009/07/16 09:49] ptacek |
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- | ====== | + | ====== |
- | 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' | + | [[Progress Report]] - dal jsem to na zvlastni stranku, abysme si nelezli |
- | 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 | + | |
- | pos ? analyzovat, generovat a kontrolovat ' | + | ====== Description of Czech Companion November Demonstrator ====== |
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+ | 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 | ||
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+ | 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, | ||
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+ | 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. | ||
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+ | {{user: | ||
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+ | ===== Automatic Speech Recognition (WP 5.1)===== | ||
+ | features: improved language models, real-time speaker adaptation | ||
+ | performance indicator: WER | ||
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+ | ===== Speech Reconstruction (WP 5.2) ===== | ||
+ | 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 | ||
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+ | ===== Morphology Analyzer and POS tagging (WP 5.2) ===== | ||
+ | features: coverage of photo-pal domain, domain adapted tagger | ||
+ | performance indicator: OOV rate, accuracy | ||
- | ===== Speech Reconstruction ===== | ||
- | 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 baseline | ||
- | XXX Mirek | ||
- | ===== Morphology Analyzer and POS tagging ===== | ||
- | features: XXX Mirek/ | ||
- | performance indicator: accuracy | ||
- | ===== Syntactic Parsing ===== | + | ===== Syntactic Parsing |
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, ze bysme | + | |
- | ===== Semantic Parsing ===== | ||
- | features: meaning representation with semantic roles (69 labels), coordinations, | ||
- | performance indicator: f-measure | ||
- | ===== Information Extraction ===== | + | |
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+ | ===== Semantic Parsing (WP 5.2) ===== | ||
+ | features: assignment of semantic roles (69 roles), coordinations, | ||
+ | performance indicator: accuracy (correctly induced edges, labels) | ||
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+ | ===== Information Extraction | ||
features: template based identification of predicates | features: template based identification of predicates | ||
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 ===== | + | |
- | features: detect person names, geographical locations | + | |
+ | ===== Named Entities Recognition | ||
+ | features: detect person names, geographical locations, organization names | ||
performance indicator: f-measure | performance indicator: f-measure | ||
- | ===== Dialog Act Tagging ===== | ||
- | features: tagset derived from DAMSL-SWBD, DA is a key feature driving | ||
- | performance indicator: | ||
- | ===== Sentiment Analysis ===== | ||
- | features: za tohle bych vydaval klasifikator, | ||
- | performance indicator: f-measure | ||
+ | ===== Dialog Act Tagging (WP 5.2) ===== | ||
+ | features: domain tailored tag-set (variation of DAMSL-SWBD) | ||
+ | performance indicator: accuracy | ||
- | ===== Complete System Evaluation ===== | ||
- | T5.2.7 tohle zminuje, nick webb to pro nas asi neudela | ||
- | performance indicator: pocet slov ve vypovedich uzivatele(? | ||
- | ===== Dialog Manager ===== | ||
- | features: reply types, using (language independed) predicates (prakticky to znamena, ze pojmenuju testy na prechodech v dafech anglicky) | ||
- | performance indicator: rucni hodnoceni prijatelnosti akce | ||
- | ===== Natural Language Generation ===== | + | |
- | features: | + | |
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+ | ===== Dialog Manager (WP 5.3) ===== | ||
+ | features: integrated DAF-based dialog manager from previous English prototype, | ||
+ | manual creation of DAFs covering following topics: Person_retired, | ||
+ | performance indicator: acceptability - manual evaluation of actions selected by DM | ||
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+ | ===== Natural Language Generation | ||
+ | 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 | ||
+ | performance indicator: listening tests | ||
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+ | ===== 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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