http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-2004029968-A
Outgoing Links
Predicate | Object |
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assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_05122eae7fa9154d47147a444ef69c26 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-15 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-28 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-27 |
filingDate | 2002-06-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a6a7375a525a1d47830c831128b8d1bf http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_578ade6812083c3c814314047546bf58 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c3991e25844ecda49eeaf8edf4d1d7c8 |
publicationDate | 2004-01-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | JP-2004029968-A |
titleOfInvention | Topic estimation model generation method and topic estimation method |
abstract | An object of the present invention is to provide a method for generating a topic estimation model that can be applied to dialogue expression using spoken words and that can estimate a topic to which an input utterance sentence belongs with one utterance unit and with good accuracy. A relevance between a word and each topic item is determined for each word appearing in the learning dialogue based on a plurality of learning dialogues to which predefined topic items are assigned and morphologically analyzed. , Calculated from the mutual information between the word and the topic item and the entropy related to the word appearance, and generates a table storing the degree of relevance to each topic item for each word. [Selection diagram] Fig. 4 |
isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-2014178965-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-107977363-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108021558-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-107622051-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-107977363-B |
priorityDate | 2002-06-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Predicate | Subject |
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isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID453095146 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID161104 |
Total number of triples: 21.