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draft [2009/07/15 12:29] ptacek |
draft [2009/09/30 20:39] ptacek |
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- | ====== Description | + | ====== |
- | The Czech version of Companion deals with the Reminiscing about User's Photos scenario. | + | The ASR module based on Hidden-Markov models transforms input speech into text, providing a front-end between the user and the Czech demonstrator. The ASR output is smoothed into a form close to standard written text using statistical machine translation in order to bridge |
- | 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 | + | |
- | 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. | + | Results of part-of-speech tagging are passed |
- | pos ? analyzovat, generovat | + | |
- | ===== Speech Reconstruction ===== | + | In addition, when generating the system response, the dialogue manager will pass through the NLG module the information about the appropriate communicative function tag (CF, see the CZ TTS module) along with the sentence that is to be generated. NLG is also used to generate paraphrases of user input sentences.The TTS module integrated with the TID avatar transforms system responses from the text form into the speech and visual (face expressions, |
- | 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 ===== | + | < |
- | features: induce dependencies and labels | + | |
- | performance indicator: f-measure | + | |
- | v tipu je natrenovat MacDonnalda na dialog datech, ten task je do M42, ted ne. | + | |
+ | The Czech Companion follows the original idea of Reminiscing about the User's Photos, | ||
+ | taking advantage of the data collected in the first phase of the project (using a Wizard-of-Oz setting). The full recorded corpora was transcribed, | ||
- | ===== Semantic Parsing ===== | + | The architecture is the same as in the English version, i.e. a set of modules communicating through the Inamode |
- | features: meaning representation with semantic roles (69 labels), coordinations, argument structure, partial ellipsis resolution, pronominal anaphora resolution, | + | |
- | performance indicator: f-measure | + | |
- | ===== Information Extraction ===== | + | The NLU pipeline, DM, and NLG modules at the NLP Server are implemented using a CU's own TectoMT platform that provides access to a single in-memory data representation through a common API. This eliminates the overhead |
- | features: template based identification of predicates | + | |
- | covering predicates from before-mentioned set of DAFs. | + | |
- | performance indicator: accuracy | + | |
- | ===== Named Entities Recognition ===== | + | The Knowledge Base consists of objects (persons, events, photos) that model the information acquainted in the course of dialog. Those objects also provide a very basic reasoning |
- | features: detect person names, geographical locations | + | |
- | performance indicator: f-measure | + | |
- | ===== Dialog Act Tagging ===== | ||
- | features: tagset derived from DAMSL-SWBD, DA is a key feature driving the decision, what to say next. | ||
- | performance indicator: accuracy | ||
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- | ===== Sentiment Analysis ===== | ||
- | features: za tohle bych vydaval klasifikator, | ||
- | performance indicator: f-measure | ||
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- | ===== Complete System Evaluation ===== | ||
- | T5.2.7 tohle zminuje, nick webb to pro nas asi neudela | ||
- | performance indicator: pocet slov ve vypovedich uzivatele(? | ||
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- | ===== 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 | ||
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- | ===== Natural Language Generation ===== | ||
- | features: variations, underspecified input (dott format), emotional markup (natvrdo v dafech a templatech u hodnoticich vet) | ||
- | performance indicator: BLEU score |