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 09:11] ptacek |
||
---|---|---|---|
Line 5: | Line 5: | ||
- | ====== Description of Czech Companion November Prototype ====== | ||
- | 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 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 | + | ====== Description of Czech 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: | + | 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, | ||
+ | |||
+ | DAFs covering selected topics contain not only Companion replies mined from the corpora, but also new human-authored assessments, | ||
+ | |||
+ | {{user: | ||
Line 25: | Line 27: | ||
- | ===== 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 38: | ||
===== 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 (XXX prida nam Jarka OOV slova co najdeme, bude PDTSC rucne oznackovane - do listopadu?) | + | features: coverage of photo-pal domain, domain adapted tagger |
performance indicator: OOV rate, accuracy | performance indicator: OOV rate, accuracy | ||
Line 50: | Line 53: | ||
===== 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 64: | ||
===== 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 71: | ||
===== 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 100: | ||
===== 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 104: | Line 108: | ||
- | ====== AZ PO LISTOPADU ====== | + | |
+ | --------------cut---------------- | ||
+ | ====== AZ PO LISTOPADU | ||
===== Syntactic Parsing (WP 5.2) ===== | ===== Syntactic Parsing (WP 5.2) ===== | ||
Line 123: | Line 129: | ||
advances in Czech NLU (on reconstructed spoken data): 300-500vet(? | advances in Czech NLU (on reconstructed spoken data): 300-500vet(? | ||
- | pos ? analyzovat, generovat a kontrolovat ' | + | pos ? analyzovat, generovat a kontrolovat ' |