Differences
This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision Next revision Both sides next revision | ||
draft [2009/07/15 22:59] ptacek |
draft [2009/07/16 09:50] ptacek |
||
---|---|---|---|
Line 4: | Line 4: | ||
+ | ====== Description of Czech Companion November Demonstrator ====== | ||
- | ====== Description of Czech Companion | + | The Czech version of the Companion |
- | 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 | + | The dialog is driven by a dialog manager component by USFD (originally developed for the English Senior Companion prototype), we supply |
- | The dialog is driven by a dialog manager component by USFD (originally developed for the English Senior | + | Our DAFs covering selected topics contain not only Companion |
- | 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, | + | |
- | {{user: | + | {{user: |
Line 25: | Line 24: | ||
- | ===== 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 | ||
+ | |||
+ | |||
Line 35: | Line 37: | ||
===== 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 | ||
Line 50: | Line 52: | ||
===== 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) | ||
Line 61: | Line 63: | ||
===== 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 | ||
Line 68: | Line 70: | ||
===== Dialog Act Tagging (WP 5.2) ===== | ===== Dialog Act Tagging (WP 5.2) ===== | ||
- | features: domain tailored | + | features: domain tailored |
performance indicator: accuracy | performance indicator: accuracy | ||
+ | |||
Line 96: | Line 99: | ||
===== Emotional TTS (WP 5.5) ===== | ===== 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 | features: emotions will be expressed implicitly, through the usage of communicative functions; new female voice database was recorded for this purposes | ||
- | perfomance | + | performance |
+ | |||
Line 102: | Line 107: | ||
features: new Czech female voice with affective features will be integrated with the TID avatar | 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, | performance indicator: subjective evaluation of the naturalness and the ability to convey emotions (small-scale, | ||
- | |||
- | |||
- | ====== 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 ' |