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 [2009/07/14 16:09] ptacek |
draft [2009/07/15 15:39] ptacek |
||
---|---|---|---|
Line 1: | Line 1: | ||
+ | ====== Progress Report ====== | ||
+ | |||
+ | [[Progress Report]] - dal jsem to na zvlastni stranku, abysme si nelezli do zeli | ||
+ | |||
+ | |||
+ | |||
====== Description of Czech Companion November Prototype ====== | ====== 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 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' | 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, | + | typy odpovedi a zpusob jejich implementace, |
NLP server s tectomt, ASR/TTS/SR client, connected over network | NLP server s tectomt, ASR/TTS/SR client, connected over network | ||
XXX JPta | XXX JPta | ||
- | advances in Czech NLU (on reconstructed spoken data): | + | advances in Czech NLU (on reconstructed spoken data): |
pos ? analyzovat, generovat a kontrolovat ' | pos ? analyzovat, generovat a kontrolovat ' | ||
- | ===== 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 ===== | + | |
+ | |||
+ | ===== Automatic Speech Recognition (WP 5.1)===== | ||
+ | features: improved language models, real-time speaker adaptation | ||
+ | performance indicator: WER | ||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | ===== Speech Reconstruction (WP 5.1 ???) ===== | ||
+ | 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 | ||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | ===== 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, ze bysme | + | v tipu je natrenovat MacDonnalda na dialog datech, ten task je do M42, ted ne. |
- | ===== Semantic Parsing ===== | ||
- | features: meaning representation with semantic roles (69 labels), 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. | ||
performance indicator: accuracy | performance indicator: accuracy | ||
- | ===== 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 derived from DAMSL-SWBD, DA is a key feature driving | ||
- | performance indicator: | ||
- | ===== Sentiment Analysis ===== | ||
- | features: | ||
- | performance indicator: | ||
- | ===== Complete System Evaluation | + | ===== Dialog Act Tagging (WP 5.2) ===== |
- | T5.2.7 tohle zminuje, nick webb to pro nas asi neudela | + | features: domain tailored tagset (variation of DAMSL-SWBD) |
- | performance indicator: | + | performance indicator: accuracy |
+ | |||
+ | |||
+ | ===== Sentiment Analysis (WP 5.2) ===== | ||
+ | features: za tohle bych vydaval klasifikator, co rozhoduje ,jestli se rekne 'To je smutné/ | ||
+ | performance indicator: | ||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
- | ===== Dialog Manager ===== | + | ===== Dialog Manager |
features: reply types, using (language independed) predicates (prakticky to znamena, ze pojmenuju testy na prechodech v dafech anglicky) | features: reply types, using (language independed) predicates (prakticky to znamena, ze pojmenuju testy na prechodech v dafech anglicky) | ||
- | performance indicator: rucni hodnoceni prijatelnosti | + | Handmade DAF covering following topics: Person_Retired, |
+ | performance indicator: rucni hodnoceni prijatelnosti | ||
- | ===== Natural Language Generation ===== | + | ===== Natural Language Generation |
features: variations, underspecified input (dott format), emotional markup (natvrdo v dafech a templatech u hodnoticich vet) | features: variations, underspecified input (dott format), emotional markup (natvrdo v dafech a templatech u hodnoticich vet) | ||
performance indicator: BLEU score | performance indicator: BLEU score |