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draft [2009/07/15 13:13] ptacek |
draft [2009/07/15 17:53] 147.228.47.190 |
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====== Progress Report ====== | ====== Progress Report ====== | ||
+ | [[Progress Report]] - dal jsem to na zvlastni stranku, abysme si nelezli do zeli | ||
- | Hi Marc, | ||
- | ... | ||
- | Re: progress: there is progress in the following: | + | ====== Description of Czech Companion November Prototype ====== |
- | - language model re-training for the collected dialogue | + | 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 |
- | - additional dialogue transription for ASR is ongoing (WP52.? T5.2.1) | + | however the set of modules differs |
- | - DM has been transferred from USFD to Prague | + | |
- | being extensively tested | + | |
- | - DAF editor transfer is complete (WP5.3) | + | |
- | - Sample dialogues (specifically aimed at the demo) | + | |
- | are ready - issues are being resolved between CU/ZCU | + | |
- | - DAFs are being prepared for the SC-CZ scenario AND | + | |
- | the sample dialogues | + | |
- | - DA set is being prepared, also based on the sample dialogues (WP5.2) | + | |
- | - preliminary DA tagger (on std DAMSL-SWBD tagset) working (~35% error rate) (WP5.2) | + | |
- | - integration work is ongoing (CU/ZCU, internally at CU) | + | |
- | but no functioning full demo yet (beyond what we've presented in Madrid) | + | |
- | I hope this is OK for the progress report. Pavel (I.) might add more specifics regarding the ASR and especially TTS progress. | + | {{user: |
- | Best, | + | 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 | ||
- | -- Jan | ||
+ | ===== Automatic Speech Recognition (WP 5.1)===== | ||
+ | features: improved language models, real-time speaker adaptation | ||
+ | performance indicator: WER | ||
- | ====== Description of Czech Companion November Prototype ====== | ||
- | The Czech version of Companion deals with the Reminiscing about User's Photos scenario taking advantage of date 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(?) rucne anotovat pos, a-tree, t-tree, IE predicates, Named Entities, DA pro eval in-domain testy after Nov. | + | ===== Speech Reconstruction |
- | pos ? analyzovat, generovat a kontrolovat ' | + | features: omit filler phrases, remove irrelevant speech events, handle false starts, repetitions, and corrections, polish word ordering |
+ | performance indicator: BLEU score between actual output and manually reconstructed sentences from corpora (T5.2.1), baseline: Moses with default settings | ||
- | ===== 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 ===== | + | |
+ | |||
+ | ===== 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? | ||
+ | performance indicator: OOV rate, accuracy | ||
+ | |||
+ | |||
+ | |||
+ | |||
+ | ===== 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, ted ne. | + | |
- | ===== Semantic Parsing ===== | ||
- | features: meaning representation with semantic roles (69 roles), coordinations, | ||
- | performance indicator: f-measure | ||
- | ===== Information Extraction ===== | + | |
+ | ===== Semantic Parsing (WP 5.2) ===== | ||
+ | features: assignment of semantic roles (69 roles), coordinations, | ||
+ | performance indicator: accuracy (correctly induced edges, labels) | ||
+ | |||
+ | ===== 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. | ||
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- | ===== Named Entities Recognition ===== | + | |
- | features: detect person names, geographical locations | + | ===== Named Entities Recognition |
+ | features: detect person names, geographical locations, organizations | ||
performance indicator: f-measure | performance indicator: f-measure | ||
- | ===== Dialog Act Tagging ===== | + | |
- | features: tagset | + | |
+ | |||
+ | ===== Dialog Act Tagging | ||
+ | features: | ||
performance indicator: accuracy | performance indicator: accuracy | ||
- | ===== Sentiment Analysis ===== | ||
- | 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: pocet slov ve vypovedich uzivatele, dotazniky | ||
+ | ===== 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 | ||
- | ===== 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 vybrane akce | ||
- | ===== Natural Language Generation ===== | + | |
- | features: | + | |
+ | |||
+ | |||
+ | ===== Natural Language Generation | ||
+ | features: | ||
performance indicator: BLEU score | performance indicator: BLEU score | ||
+ | |||
+ | |||
+ | |||
+ | ===== 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, | ||
+ | |||
+ | |||
+ | ====== 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 ' |