{"id":30485,"date":"2021-08-24T12:04:27","date_gmt":"2021-08-24T11:04:27","guid":{"rendered":"https:\/\/multisite.korebots.com\/v9-0\/uncategorised-ja\/update-nlp-configurations\/"},"modified":"2021-08-24T12:10:06","modified_gmt":"2021-08-24T11:10:06","slug":"update-nlp-configurations","status":"publish","type":"post","link":"https:\/\/multisite.korebots.com\/v9-0\/uncategorised-ja\/update-nlp-configurations\/","title":{"rendered":"NLP\u8a2d\u5b9a\u3092\u66f4\u65b0"},"content":{"rendered":"

NLP\u306e\u3057\u304d\u3044\u5024\u3084\u8a2d\u5b9a\u3092\u66f4\u65b0\u3057\u307e\u3059<\/p>\n

\u3053\u306eAPI\u3092\u4f7f\u7528\u3059\u308b\u305f\u3081\u306b\u3001\u30a2\u30d7\u30ea\u306f [NLP\u8a2d\u5b9a<\/em>] \u306e\u30dc\u30c3\u30c8\u30d3\u30eb\u30c0\u30fc\u306eAPI\u30b9\u30b3\u30fc\u30d7\u3092\u5fc5\u8981\u3068\u3057\u307e\u3059\u3002\u3042\u308b\u3044\u306f\u3001[\u30c6\u30b9\u30c8\u3068\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0<\/em>] \u306b\u3042\u308b [NLP\u8a2d\u5b9a<\/em>] \u306e\u7ba1\u7406\u8005\u306eAPI\u30b9\u30b3\u30fc\u30d7\u3092\u5fc5\u8981\u3068\u3057\u307e\u3059\u3002<\/p>\n

POST<\/b> https:\/\/{{host}}\/api\/public\/bot\/{{BotID}}\/configurations?language={{languageCode}}&groupName={{groupName}}<\/code><\/p>\n<\/div><\/div>

<\/div><\/div>

<\/span>\u30af\u30a8\u30ea\u30d1\u30e9\u30e1\u30fc\u30bf<\/span><\/h2>\n\n\n\n\n\n\n\n\n
\u30d1\u30e9\u30e1\u30fc\u30bf<\/b><\/th>\n\u5fc5\u9808\/\u4efb\u610f<\/b><\/th>\n\u8aac\u660e<\/b><\/th>\n<\/tr>\n<\/thead>\n
\u30db\u30b9\u30c8<\/td>\n\u5fc5\u9808<\/td>\n\u74b0\u5883URL\uff08\u4f8b\uff1a https:\/\/bots.kore.ai\uff09<\/td>\n<\/tr>\n
BotID<\/td>\n\u5fc5\u9808<\/td>\n\u30dc\u30c3\u30c8ID\u307e\u305f\u306f\u30b9\u30c8\u30ea\u30fc\u30e0ID\u3002\u30dc\u30c3\u30c8\u306e [\u4e00\u822c\u8a2d\u5b9a] \u30da\u30fc\u30b8\u304b\u3089\u30a2\u30af\u30bb\u30b9\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/td>\n<\/tr>\n
languageCode<\/td>\n\u5fc5\u9808<\/td>\n\u3053\u308c\u3089\u306e\u8a2d\u5b9a\u3092\u66f4\u65b0\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u30dc\u30c3\u30c8\u306e\u8a00\u8a9e\u3002<\/td>\n<\/tr>\n
groupName<\/td>\n\u8907\u6570\u306eML\u30e2\u30c7\u30eb\u306b\u5fc5\u9808<\/td>\nGroupName\u306f\u3001\u7279\u5b9a\u306e\u30b0\u30eb\u30fc\u30d7\u306eML\u30d1\u30e9\u30e1\u30bf\u3092\u66f4\u65b0\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002  \u30dc\u30c3\u30c8\u30ec\u30d9\u30eb\u306e\u30a4\u30f3\u30c6\u30f3\u30c8\u30e2\u30c7\u30eb\u306e\u8a2d\u5b9a\u3092\u66f4\u65b0\u3059\u308b\u306b\u306f\u3001groupName\u3092\u300c\u30dc\u30c3\u30c8\u30ec\u30d9\u30eb\u306e\u30a4\u30f3\u30c6\u30f3\u30c8\u30e2\u30c7\u30eb\u300d\u306b\u8a2d\u5b9a\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div><\/div>

<\/span>\u672c\u6587\u30d1\u30e9\u30e1\u30fc\u30bf<\/span><\/h2>\n

\u30d1\u30e9\u30e1\u30fc\u30bf\u306f\u3001\u66f4\u65b0\u304c\u5fc5\u8981\u306a\u3057\u304d\u3044\u5024\u306e\u8a2d\u5b9a\u306b\u5fdc\u3058\u3066\u7570\u306a\u308a\u307e\u3059\u3002\u4ee5\u4e0b\u306f\u3001\u69d8\u3005\u306a\u3057\u304d\u3044\u5024\u306e\u8a2d\u5b9a\u306e\u5305\u62ec\u7684\u306a\u30d1\u30e9\u30e1\u30fc\u30bf\u30ea\u30b9\u30c8\u3067\u3059\u3002<\/p>\n

<\/span>\u8a2d\u5b9a\u3092\u30a2\u30c3\u30d7\u30c7\u30fc\u30c8<\/span><\/h3>\n

\u6a5f\u68b0\u5b66\u7fd2\u30a8\u30f3\u30b8\u30f3<\/h4>\n

\u3053\u306e\u30bb\u30af\u30b7\u30e7\u30f3\u3067\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u30a8\u30f3\u30b8\u30f3\u306b\u95a2\u3059\u308b\u8a2d\u5b9a\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002\u8a2d\u5b9a\u306e\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3053\u3061\u3089\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044<\/a>\u3002<\/p>\n

{ "configurations": [ { "mode": "ml", \/\/ Machine Learning Engine "exactMatchThreshold": 90, \/\/ ML Definitive Score - value in range [80-100] "minThreshold": 0.4, \/\/ ML threshold - value in range [0-1] } ], "mlParams": { "intentParams": { "useSynonyms": true, \/\/ Bot Synonyms "useStopwords": true, \/\/ Stopwords "usePlaceholders": true, \/\/ Entity Placeholders "features": "n_gram" \/\/ Feature Extraction - value in range [skip_gram, n_gram] "skip_gram": { \/\/ features should be 'skip_gram' "seqLength": 2, \/\/ Sequence Length - value in range [2-4] "maxSkipDistance": 1 \/\/ Maximum Skip Distance - value in range [1-3] }, "ngram": 3, \/\/ ngram Sequence Length - value in range [1-4] \/\/ features should be ‘n_gram’ }, "nerParams": { "type": "corenlp" \/\/ NER Model \/\/ could be "corenlp" for Conditional Random Field \/\/ or "spacy" - Deep Neural Network } } }<\/pre>\n<\/div><\/div>
\u30d5\u30a1\u30f3\u30c0\u30e1\u30f3\u30bf\u30eb\u30df\u30fc\u30cb\u30f3\u30b0\u30a8\u30f3\u30b8\u30f3<\/h4>\n
\u3053\u306e\u30bb\u30af\u30b7\u30e7\u30f3\u3067\u306f\u3001\u30d5\u30a1\u30f3\u30c0\u30e1\u30f3\u30bf\u30eb\u30df\u30fc\u30cb\u30f3\u30b0\u30a8\u30f3\u30b8\u30f3\u306b\u95a2\u3059\u308b\u8a2d\u5b9a\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002\u8a2d\u5b9a\u306e\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3053\u3061\u3089\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044<\/a>\u3002<\/p>\n
{ "configurations": [ { "mode": "cs", \/\/ Fundamental Meaning Engine "labelMatch": true \/\/ Intent Detection using Task Name Words "isFMThreshold": true, \/\/FM Threshold "fmThreshold": 15 \/\/FM Threshold value } ] }<\/pre>\n<\/div><\/div>
\u30ca\u30ec\u30c3\u30b8\u30b0\u30e9\u30d5\u30a8\u30f3\u30b8\u30f3<\/h4>\n
\u3053\u306e\u30bb\u30af\u30b7\u30e7\u30f3\u3067\u306f\u3001\u30ca\u30ec\u30c3\u30b8\u30b0\u30e9\u30d5\u30a8\u30f3\u30b8\u30f3\u306b\u95a2\u3059\u308b\u8a2d\u5b9a\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002\u8a2d\u5b9a\u306e\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3053\u3061\u3089\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044<\/a>\u3002<\/p>\n
{ "configurations": [ THRESHOLDS & CONFIGURATIONS { "mode": "faq", "autoSpellCorrectEnabled": true, \/\/ Auto Correction "useBotSynonyms": true, \/\/ Bot Synonyms "enPatternLemma": false, \/\/ Lemmatization using Parts of Speech "pathCoverage": 50, \/\/ Path Coverage - value in range [0-100] "exactMatchThreshold": 95, \/\/ Minimum and Definitive Level for Knowledge Tasks \/\/ value in range [0-100] \/\/ should be more than minThreshold & maxThreshold "maxThreshold": 80, \/\/ Probable range for Knowledge Task \/\/ value in range [0-100] \/\/ should be between minThreshold & exactMatchThreshold "minThreshold": 60, \/\/ Low confidence range for Knowledge Task \/\/ value in range [0-100] \/\/ should be less than maxThreshold & exactMatchThreshold "suggestionsCount": 3, \/\/ KG suggestionsCount | [0-5] "taskMatchTolerance": 35, \/\/ Proximity of Suggested Matches | [0-50] "longResponses": { "readMore": true, \/\/ Manage Long Responses "useCustomReadMoreURL": true, \/\/ readMore should be true "customReadMoreURL": "www.siteurl.com" \/\/ readMore link; readMore should be true }, "searchInAnswer": { "enabled": true, \/\/ Search in Answer "notifyUser": true, \/\/ Inform end user that it is a probable answer "responseType": "relevantWithReadMore", \/\/ can be "complete" - Show complete response, \/\/ or "relevant" - Show only the relevant paragraph, \/\/ or "relevantWithReadMore" - Show only the relevant paragraph with “read more” link ] "customReadMoreURL": "www.siteurl.com", \/\/ “read more” link "useCustomReadMoreURL": true \/\/ enabled should be true } "qualifyContextualPaths": false, \/\/ Qualify Contextual Paths } ] }<\/pre>\n<\/div><\/div>
\u30e9\u30f3\u30ad\u30f3\u30b0\u304a\u3088\u3073\u89e3\u6c7a\u30a8\u30f3\u30b8\u30f3<\/h4>\n
\u3053\u306e\u30bb\u30af\u30b7\u30e7\u30f3\u3067\u306f\u3001\u30e9\u30f3\u30ad\u30f3\u30b0\u304a\u3088\u3073\u89e3\u6c7a\u30a8\u30f3\u30b8\u30f3\u306b\u95a2\u3059\u308b\u8a2d\u5b9a\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002\u8a2d\u5b9a\u306e\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3053\u3061\u3089\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044<\/a>\u3002<\/p>\n
{ "configurations": { "mode": "rr", \/\/ Ranking and Resolver Engine "taskMatchTolerance": 2, \/\/ Proximity of Probable Matches - value in range [0-20] "useDependencyParser": true, \/\/ Dependency Parsing Model "minMatchVal": 0.4, \/\/ Minimum Match Score - value in range [0-1] \/\/ useDependencyParser should be true "rankingParameters": "" \/\/ Advanced Configurations \/\/ useDependencyParser should be true "intentRescoring": false, \/\/ Rescoring of Intents "isPreferDefinitiveMatch": true \/\/ Prefer Definitive Matches } ] }<\/pre>\n<\/div><\/div>
NLP\u306e\u8a73\u7d30\u8a2d\u5b9a<\/h4>\n
\u3053\u306e\u30bb\u30af\u30b7\u30e7\u30f3\u3067\u306f\u3001[\u81ea\u7136\u8a00\u8a9e] > [\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0] \u306e [\u9ad8\u5ea6\u306aNLP\u8a2d\u5b9a] \u306b\u8a18\u8f09\u3055\u308c\u3066\u3044\u308b\u8a2d\u5b9a\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002\u8a2d\u5b9a\u306e\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3053\u3061\u3089\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044<\/a>\u3002\u4ee5\u4e0b\u306f\u3001\u4e0a\u8a18\u306e [\u9ad8\u5ea6\u306aNLP\u8a2d\u5b9a] \u3092\u8a2d\u5b9a\u3059\u308b\u305f\u3081\u306e\u30ea\u30af\u30a8\u30b9\u30c8\u306e\u30b5\u30f3\u30d7\u30eb\u3067\u3059\u3002<\/p>\n
{ "advancedNLPSettings":[ { "configurationKeyName": "NoneIntent", "configurationValue":true, "nlpEngine":"ML" } ] }<\/pre>\n
\u4ee5\u4e0b\u306f\u3001\u8a31\u5bb9\u3055\u308c\u308bNLP\u306e\u8a73\u7d30\u8a2d\u5b9a\u3068\u8003\u3048\u3089\u308c\u308b\u5024\u306e\u5b8c\u5168\u306a\u30ea\u30b9\u30c8\u3067\u3059\u3002\u8907\u5408\u8a9e\u3092\u5206\u5272<\/strong><\/p>\n
{ "configurationName": "\u8907\u5408\u8a9e\u3092\u5206\u5272", "configurationKeyName": "splitCompoundWords", "desc": "\u3053\u306e\u8a2d\u5b9a\u306b\u3088\u308a\u3001\u8907\u5408\u8a9e\u3092\u8907\u6570\u306e\u8a9e\u5e79\u306b\u5206\u5272\u3057\u3066\u304b\u3089\u3001\u500b\u3005\u306e\u8a9e\u5e79\u3092\u51e6\u7406\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059", "nlpEngine": "ML", "dataType": "Boolean", "range": [true, false], "defaultValue": false, "requiresTraining": true, "language": ["de", "nl"], "isChild": false }<\/pre>\n
None\u30a4\u30f3\u30c6\u30f3\u30c8<\/strong><\/p>\n
{ "configurationName": "None\u30a4\u30f3\u30c6\u30f3\u30c8", "configurationKeyName": "NoneIntent", "desc": "\u6709\u52b9\u306b\u3059\u308b\u3068\u3001\u6a5f\u68b0\u5b66\u7fd2\u30a8\u30f3\u30b8\u30f3\u3092\u4f7f\u7528\u3057\u3066\u30a4\u30f3\u30c6\u30f3\u30c8\u4e00\u81f4\u306e\u507d\u967d\u6027\u304c\u767a\u751f\u3059\u308b\u53ef\u80fd\u6027\u3092\u6e1b\u3089\u3059\u3001None\u30a4\u30f3\u30c6\u30f3\u30c8\u304c\u4f5c\u6210\u3055\u308c\u307e\u3059", "nlpEngine": "ML", "dataType": "Boolean", "range": [true, false], "defaultValue": true, "requiresTraining": true, "language": "ALL", "isChild": false }<\/pre>\n
\u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u6027\u306e\u6e1b\u8870<\/strong><\/p>\n
{ "configurationName": "\u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u6027\u306e\u6e1b\u8870", "configurationKeyName": "cosineSimilarityDampening", "desc": "\u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u6027\u306e\u6e1b\u8870\u3092\u4f7f\u7528\u3057\u3066\u3001\u77ed\u6587\u306e\u8cea\u554f\u306e\u30da\u30ca\u30eb\u30c6\u30a3\u3092\u56de\u907f\u3057\u307e\u3059", "nlpEngine": "KG", "dataType": "Boolean", "range": [true, false], "defaultValue": true, "requiresTraining": false, "language": "ALL", "isChild": false }<\/pre>\n
\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30bf\u30a4\u30d7<\/strong><\/p>\n
{ "configurationName" : "\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30bf\u30a4\u30d7", "configurationKeyName" : "network", "desc" : "\u30a4\u30f3\u30c6\u30f3\u30c8\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306b\u5229\u7528\u3067\u304d\u308b\u30cd\u30c3\u30c8\u30ef\u30fc\u30af", "nlpEngine" : "ML", "dataType" : "enum", "range" : ["Standard","MLP-BOW","MLP-WordEmbeddings","LSTM","CNN", "KoreBERT"], "defaultValue": "Standard", "requiresTraining" : true, "language" : "ALL", "isChild" : false }<\/pre>\n
Epochs<\/strong><\/p>\n
{ "configurationName": "Epochs", "configurationKeyName": "epochs", "desc": "\u30e2\u30c7\u30eb\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306b\u304a\u3051\u308b\u53cd\u5fa9\u56de\u6570", "nlpEngine": "ML", "dataType": "Number", "range": [20, 300], "defaultValue": 20, "requiresTraining" : true, "language" : "ALL", "isChild" : true, "parentConfiguration" : "network", "requiredParentInput" : ["MLP-BOW","MLP-WordEmbeddings","LSTM","CNN","KoreBERT"] }<\/pre>\n
\u30d0\u30c3\u30c1\u30b5\u30a4\u30ba<\/strong><\/p>\n
{ "configurationName" : "\u30d0\u30c3\u30c1\u30b5\u30a4\u30ba", "configurationKeyName" : "batch_size", "desc" : "\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u6642\u306b\u5404\u30d0\u30c3\u30c1\u3067\u4f7f\u7528\u3055\u308c\u308b\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30b5\u30f3\u30d7\u30eb\u306e\u6570", "nlpEngine" : "ML", "dataType" : "Number", "range" : [10,30], "defaultValue":10, "requiresTraining" : true, "language" : "ALL", "isChild" : true, "parentConfiguration" : "network", "requiredParentInput" : ["MLP-BOW","MLP-WordEmbeddings","LSTM","CNN","KoreBERT"] }<\/pre>\n
\u5b66\u7fd2\u7387<\/strong><\/p>\n
{ "configurationName": "\u5b66\u7fd2\u7387", "configurationKeyName": "lr", "desc": "\u5b66\u7fd2\u7387\u306f\u3001\u640d\u5931\u52fe\u914d\u306b\u5bfe\u3057\u3066\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u91cd\u307f\u3092\u3069\u306e\u7a0b\u5ea6\u8abf\u6574\u3059\u308b\u304b\u3092\u5236\u5fa1\u3059\u308b\u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30fc\u30bf\u3067\u3059", "nlpEngine": "ML", "dataType": "enum", "range": [1e-4, 1e-3, 1e-2], "defaultValue": 1e-3, "requiresTraining" : true, "language" : "ALL", "isChild" : true, "parentConfiguration" : "network", "requiredParentInput" : ["MLP-BOW","MLP-WordEmbeddings","LSTM","CNN","KoreBERT"] }<\/pre>\n
Dropout<\/strong><\/p>\n
{ "configurationName": "Dropout", "configurationKeyName": "dropout", "desc": "\u30e2\u30c7\u30eb\u306e\u904e\u5b66\u7fd2\u3092\u907f\u3051\u308b\u305f\u3081\u306e\u6b63\u5247\u5316\u30d1\u30e9\u30e1\u30fc\u30bf", "nlpEngine": "ML", "dataType": "Number", "range": [0, 0.8], "defaultValue": 0, "requiresTraining" : true, "language" : "ALL", "isChild" : true, "parentConfiguration" : "network", "requiredParentInput" : ["MLP-BOW","MLP-WordEmbeddings","LSTM","CNN", "KoreBERT"] }<\/pre>\n
Vectorizer<\/strong><\/p>\n
{ "configurationName": "Vectorizer", "configurationKeyName": "vector_type", "desc": "\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u304b\u3089\u306e\u7279\u5fb4\u62bd\u51fa\u624b\u6cd5", "nlpEngine": "ML", "dataType": "enum", "range": ["count", "tfidf"], "defaultValue": "count", "requiresTraining": true, "language": "ALL", "isChild" : true, "parentConfiguration" : "network", "requiredParentInput": ["MLP-BOW"] }<\/pre>\n
\u6700\u5927\u30b7\u30fc\u30b1\u30f3\u30b9\u9577<\/strong><\/p>\n
{ "configurationName": "\u6700\u5927\u30b7\u30fc\u30b1\u30f3\u30b9\u9577", "configurationKeyName": "max_seq_length", "desc": "\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30b5\u30f3\u30d7\u30eb\u307e\u305f\u306f\u30e6\u30fc\u30b6\u30fc\u5165\u529b\u306e\u9577\u3055", "nlpEngine": "ML", "dataType": "Number", "range": [10, 30], "defaultValue": 20, "requiresTraining" : true, "language" : "ALL", "isChild" : true, "parentConfiguration" : "network", "requiredParentInput" : ["MLP-WordEmbeddings","LSTM","CNN","KoreBERT"] }<\/pre>\n
\u57cb\u3081\u8fbc\u307f\u30bf\u30a4\u30d7<\/strong><\/p>\n
{ "configurationName": "\u57cb\u3081\u8fbc\u307f\u30bf\u30a4\u30d7", "configurationKeyName": "word_embedding_type", "desc": "\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u304b\u3089\u306e\u7279\u5fb4\u62bd\u51fa\u624b\u6cd5", "nlpEngine": "ML", "dataType": "enum", "range": ["generated", "pretrained", "random"], "defaultValue": "random", "requiresTraining" : true, "language" : "ALL", "isChild" : true, "parentConfiguration" : "network", "requiredParentInput" : ["MLP-WordEmbeddings","LSTM","CNN", "KoreBERT"] }<\/pre>\n
\u57cb\u3081\u8fbc\u307f\u7bc4\u56f2<\/strong><\/p>\n
{ "configurationName": "\u57cb\u3081\u8fbc\u307f\u7bc4\u56f2", "configurationKeyName": "embedding_dim", "desc": "\u7279\u5fb4\u91cf\u5316\u3067\u4f7f\u7528\u3055\u308c\u308b\u57cb\u3081\u8fbc\u307f\u7bc4\u56f2", "nlpEngine": "ML", "dataType": "Number", "range": [100, 400], "defaultValue": 300, "requiresTraining" : true, "language" : "ALL", "isChild" : true, "parentConfiguration" : "network", "requiredParentInput" : ["MLP-WordEmbeddings","LSTM","CNN", "KoreBERT"] }<\/pre>\n
K-\u5206\u5272\u4ea4\u5dee\u691c\u8a3c<\/strong><\/p>\n
{ "configurationName" : "kfold", "configurationKeyName" : "kfold", "desc" : "\u4ea4\u5dee\u691c\u8a3c\u306eK-\u5206\u5272\u30d1\u30e9\u30e1\u30fc\u30bf", "nlpEngine" : "ML", "dataType" : "Number", "range" : [2,10], "defaultValue": 5, "requiresTraining" : true, "language" : "ALL", "isChild" : false }<\/pre>\n
\u30a4\u30f3\u30c6\u30f3\u30c8\u540d\u3068\u3057\u3066\u306eFAQ\u540d<\/strong><\/p>\n
{ "configurationName": "\u30a4\u30f3\u30c6\u30f3\u30c8\u540d\u3068\u3057\u3066\u306eFAQ\u540d", "configurationKeyName": "FAQ_Name_Intent_Name", "desc": "FAQ\u540d\u306e\u30a4\u30f3\u30c6\u30f3\u30c8\u540d\u3068\u3057\u3066\u306e\u4f7f\u7528\u3092\u6709\u52b9\u306b\u3057\u307e\u3059\u3002", "nlpEngine": "KG", "dataType": "Boolean", "range": [true, false], "defaultValue": false, "requiresTraining" : false, "language" : "ALL", "isChild" : false }<\/pre>\n
\u30d5\u30a1\u30b8\u30fc\u30de\u30c3\u30c1<\/strong><\/p>\n
{ "configurationName" : "\u30d5\u30a1\u30b8\u30fc\u30de\u30c3\u30c1", "configurationKeyName" : "fuzzyMatch", "desc" : "\u3053\u306e\u8a2d\u5b9a\u3067\u306f\u3001\u30d5\u30a1\u30b8\u30fc\u30fb\u30de\u30c3\u30c1\u30f3\u30b0\u30fb\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u4f7f\u7528\u3057\u3066\u30a4\u30f3\u30c6\u30f3\u30c8\u3092\u691c\u51fa\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059", "nlpEngine" : "ML", "dataType" : "Boolean", "range" : [true,false], "defaultValue": true, "requiresTraining" : false, "language" : "ALL", "isChild" : false }<\/pre>\n
\u5426\u5b9a\u306e\u51e6\u7406<\/strong><\/p>\n
{ "configurationName" : "\u5426\u5b9a\u306e\u51e6\u7406", "configurationKeyName" : "f_negation", "desc" : "\u3053\u306e\u8a2d\u5b9a\u3067\u306f\u3001\u30a4\u30f3\u30c6\u30f3\u30c8\u691c\u51fa\u3067\u5426\u5b9a\u3055\u308c\u305f\u5358\u8a9e\u3092\u51e6\u7406\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059", "nlpEngine" : "ML", "dataType" : "Boolean", "range" : [true,false], "defaultValue": true, "requiresTraining" : true, "language" : ["en", "es"], "isChild" : false }<\/pre>\n
\u591a\u91cd\u767a\u751f\u3092\u7121\u8996<\/strong><\/p>\n
{ "configurationName" : "\u591a\u91cd\u767a\u751f\u3092\u7121\u8996", "configurationKeyName" : "binary", "desc" : "\u3053\u306e\u8a2d\u5b9a\u3067\u306f\u3001\u751f\u30ab\u30a6\u30f3\u30c8\u6570\u3067\u306f\u306a\u304f\u3001\u7528\u8a9e\u306e\u6709\u7121\u3060\u3051\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059", "nlpEngine" : "ML", "dataType" : "Boolean", "range" : [true,false], "defaultValue": false, "requiresTraining" : true, "language" : ["en"], "isChild" : true, "parentConfiguration" : "network", "requiredParentInput" : ["MLP-BOW"] }<\/pre>\n
\u30e6\u30fc\u30b6\u30fc\u306e\u767a\u8a71\u306b\u542b\u307e\u308c\u308b\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u30d7\u30ec\u30fc\u30b9\u30db\u30eb\u30c0<\/strong><\/p>\n
{ "configurationName": "Test PlaceHolders", "configurationKeyName": "TestPlaceHolders", "desc": "\u4e88\u6e2c\u6642\u306b\u3001\u30e6\u30fc\u30b6\u30fc\u5165\u529b\u306b\u542b\u307e\u308c\u308b\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u5024\u3092\u3001\u5bfe\u5fdc\u3059\u308b\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u30d7\u30ec\u30fc\u30b9\u30db\u30eb\u30c0\u3067\u7f6e\u304d\u63db\u3048\u308b\u3053\u3068\u3092\u53ef\u80fd\u306b\u3057\u307e\u3059", "nlpEngine": "ML", "dataType": "Boolean", "range": [true, false], "defaultValue": true, "requiresTraining": false, "language": "ALL", "isChild": false }<\/pre>\n<\/div><\/div>
<\/div><\/div>
<\/span>\u8a2d\u5b9a\u3092\u524a\u9664<\/span><\/h3>\n
\u8a2d\u5b9a\u3092\u524a\u9664\u3059\u308b\u306b\u306f\u3001\u4e0a\u8a18\u306e\u30bb\u30af\u30b7\u30e7\u30f3\u306b\u8a18\u8f09\u3055\u308c\u3066\u3044\u308b\u8a2d\u5b9a\u306e\u540d\u524d\u3092\u4f7f\u7528\u3057\u3066\u3001\u3053\u306e\u3088\u3046\u306b\u884c\u3044\u307e\u3059\u3002<\/p>\n
curl --location -g --request POST \\ 'https:\/\/{{host}}\/api\/public\/bot\/{{bot-id}}\/configurations?language={{languageCode}}' \\ --header 'auth: YOUR_JWT_ACCESS_TOKEN' \\ --header 'content-type: application\/json' \\ --data-raw '{ "delete": { "advancedNLPSettings": [ "kfold" ] } }'<\/pre>\n<\/div><\/div>
<\/div><\/div>
<\/span>\u8a2d\u5b9a\u3092\u30ea\u30bb\u30c3\u30c8<\/span><\/h3>\n
\u8a2d\u5b9a\u3092\u30ea\u30bb\u30c3\u30c8\u3059\u308b\u306b\u306f\u3001\u4e0a\u8a18\u306e\u30bb\u30af\u30b7\u30e7\u30f3\u306b\u8a18\u8f09\u3055\u308c\u3066\u3044\u308b\u8a2d\u5b9a\u306e\u540d\u524d\u3092\u4f7f\u7528\u3057\u3066\u3001\u3053\u306e\u3088\u3046\u306b\u884c\u3044\u307e\u3059\u3002<\/p>\n
curl --location -g --request POST \\ 'https:\/\/{{host}}\/api\/public\/bot\/{{bot-id}}\/configurations?language={{languageCode}}' \\ --header 'auth: YOUR_JWT_ACCESS_TOKEN' \\ --header 'content-type: application\/json' \\ --data-raw '{ "reset": { "faq": [ "pathCoverage", \/\/ Path Coverage "suggestionsCount", \/\/ KG suggestionsCount "minimumAndDefinitiveLevels", \/\/ Minimum and Definitive Level for Knowledge Tasks (will reset all three values) "taskMatchTolerance" \/\/ Proximity of Suggested Matches ], "ml": [ "exactMatchThreshold", \/\/ ML Definitive Score "minThreshold" \/\/ ML threshold ], "rr": [ "taskMatchTolerance", \/\/ Proximity of Probable Matches "minMatchVal" \/\/ Minimum Match Score ], "mlParams": [ "ngram", \/\/ ngram Sequence Length "seqLength", \/\/ Sequence Length "maxSkipDistance" \/\/ Maximum Skip Distance ] } }'<\/pre>\n<\/div><\/div>
<\/div><\/div>
<\/span>\u8a8d\u8a3c<\/span><\/h2>\n
\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u3001JWT\u3092\u30d8\u30c3\u30c0\u30fc\u306b\u542b\u3080API\u3092\u547c\u3073\u51fa\u3057\u307e\u3059\u3002 auth: {{JWT}}<\/code><\/p>\n<\/div><\/div>
<\/div><\/div>
<\/span>\u5fdc\u7b54\u306e\u30b3\u30f3\u30c6\u30f3\u30c4\u30bf\u30a4\u30d7<\/span><\/h2>\n
application\/json<\/code><\/p>\n<\/div><\/div>
<\/div><\/div>
<\/span>\u30b5\u30f3\u30d7\u30eb\u30ea\u30af\u30a8\u30b9\u30c8<\/span><\/h2>\n
curl --location -g --request POST \\ 'https:\/\/{{host}}\/api\/public\/bot\/{{bot-id}}\/configurations?language={{languageCode}}' \\ --header 'auth: YOUR_JWT_ACCESS_TOKEN' \\ --header 'content-type: application\/json' \\ --data-raw '{ "advancedNLPSettings": [ { "configurationKeyName": "NoneIntent", "configurationValue": true, "nlpEngine": { "configurations": [ { "mode": "ml", "exactMatchThreshold": 85, "useDependencyParser": true, "minThreshold": 0.2 }, { "mode": "faq", "useBotSynonyms": true, "searchInAnswer": { "enabled": true, "notifyUser": false, "responseType": "relevantWithReadMore", "customReadMoreURL": "aa", "useCustomReadMoreURL": true } } ], "mlParams": { "intentParams": { "features": "skip_gram", "skip_gram": { "seqLength": 3, "maxSkipDistance": 2 } } }, "nlSettings": { "enableAutoUtteranceAddition": false, "enableNegativePatterns": true } }'<\/pre>\n<\/div><\/div>
<\/div><\/div>
<\/span>\u30b5\u30f3\u30d7\u30eb\u5fdc\u7b54<\/span><\/h2>\n
[ { "message": "Training Queued.", "Training_ID": "5d14b03edba48abcb44375a1" } ]<\/pre>\n<\/div><\/div>
<\/div><\/div><\/div><\/div><\/div><\/div><\/section>\n","protected":false},"excerpt":{"rendered":"NLP\u306e\u3057\u304d\u3044\u5024\u3084\u8a2d\u5b9a\u3092\u66f4\u65b0\u3057\u307e\u3059 \u3053\u306eAPI\u3092\u4f7f\u7528\u3059\u308b\u305f\u3081\u306b\u3001\u30a2\u30d7\u30ea\u306f [NLP\u8a2d\u5b9a] \u306e\u30dc\u30c3\u30c8\u30d3\u30eb\u30c0\u30fc\u306eAPI\u30b9\u30b3\u30fc\u30d7\u3092\u5fc5\u8981\u3068\u3057\u307e\u3059\u3002\u3042\u308b\u3044\u306f\u3001[\u30c6\u30b9\u30c8\u3068\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0] \u306b\u3042\u308b [NLP\u8a2d\u5b9a] \u306e\u7ba1\u7406\u8005\u306eAPI\u30b9\u30b3\u30fc\u30d7\u3092\u5fc5\u8981\u3068\u3057\u307e\u3059\u3002 POST https:\/\/{{host}}\/api\/public\/bot\/{{BotID}}\/configurations?language={{languageCode}}&groupName={{groupName}} \u30af\u30a8\u30ea\u30d1\u30e9\u30e1\u30fc\u30bf \u30d1\u30e9\u30e1\u30fc\u30bf \u5fc5\u9808\/\u4efb\u610f \u8aac\u660e \u30db\u30b9\u30c8 \u5fc5\u9808 \u74b0\u5883URL\uff08\u4f8b\uff1a https:\/\/bots.kore.ai\uff09 BotID \u5fc5\u9808 \u30dc\u30c3\u30c8ID\u307e\u305f\u306f\u30b9\u30c8\u30ea\u30fc\u30e0ID\u3002\u30dc\u30c3\u30c8\u306e [\u4e00\u822c\u8a2d\u5b9a] \u30da\u30fc\u30b8\u304b\u3089\u30a2\u30af\u30bb\u30b9\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002 languageCode \u5fc5\u9808 \u3053\u308c\u3089\u306e\u8a2d\u5b9a\u3092\u66f4\u65b0\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u30dc\u30c3\u30c8\u306e\u8a00\u8a9e\u3002 groupName \u8907\u6570\u306eML\u30e2\u30c7\u30eb\u306b\u5fc5\u9808 GroupName\u306f\u3001\u7279\u5b9a\u306e\u30b0\u30eb\u30fc\u30d7\u306eML\u30d1\u30e9\u30e1\u30bf\u3092\u66f4\u65b0\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002  \u30dc\u30c3\u30c8\u30ec\u30d9\u30eb\u306e\u30a4\u30f3\u30c6\u30f3\u30c8\u30e2\u30c7\u30eb\u306e\u8a2d\u5b9a\u3092\u66f4\u65b0\u3059\u308b\u306b\u306f\u3001groupName\u3092\u300c\u30dc\u30c3\u30c8\u30ec\u30d9\u30eb\u306e\u30a4\u30f3\u30c6\u30f3\u30c8\u30e2\u30c7\u30eb\u300d\u306b\u8a2d\u5b9a\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002 \u672c\u6587\u30d1\u30e9\u30e1\u30fc\u30bf \u30d1\u30e9\u30e1\u30fc\u30bf\u306f\u3001\u66f4\u65b0\u304c\u5fc5\u8981\u306a\u3057\u304d\u3044\u5024\u306e\u8a2d\u5b9a\u306b\u5fdc\u3058\u3066\u7570\u306a\u308a\u307e\u3059\u3002\u4ee5\u4e0b\u306f\u3001\u69d8\u3005\u306a\u3057\u304d\u3044\u5024\u306e\u8a2d\u5b9a\u306e\u5305\u62ec\u7684\u306a\u30d1\u30e9\u30e1\u30fc\u30bf\u30ea\u30b9\u30c8\u3067\u3059\u3002 \u8a2d\u5b9a\u3092\u30a2\u30c3\u30d7\u30c7\u30fc\u30c8 \u6a5f\u68b0\u5b66\u7fd2\u30a8\u30f3\u30b8\u30f3 \u3053\u306e\u30bb\u30af\u30b7\u30e7\u30f3\u3067\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u30a8\u30f3\u30b8\u30f3\u306b\u95a2\u3059\u308b\u8a2d\u5b9a\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002\u8a2d\u5b9a\u306e\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3053\u3061\u3089\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002 { "configurations": [ { "mode": "ml", \/\/ Machine Learning Engine "exactMatchThreshold": 90, \/\/ ML Definitive Score - value in range [80-100]...","protected":false},"author":9,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[79],"tags":[],"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/multisite.korebots.com\/v9-0\/wp-json\/wp\/v2\/posts\/30485"}],"collection":[{"href":"https:\/\/multisite.korebots.com\/v9-0\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/multisite.korebots.com\/v9-0\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/multisite.korebots.com\/v9-0\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/multisite.korebots.com\/v9-0\/wp-json\/wp\/v2\/comments?post=30485"}],"version-history":[{"count":3,"href":"https:\/\/multisite.korebots.com\/v9-0\/wp-json\/wp\/v2\/posts\/30485\/revisions"}],"predecessor-version":[{"id":30691,"href":"https:\/\/multisite.korebots.com\/v9-0\/wp-json\/wp\/v2\/posts\/30485\/revisions\/30691"}],"wp:attachment":[{"href":"https:\/\/multisite.korebots.com\/v9-0\/wp-json\/wp\/v2\/media?parent=30485"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/multisite.korebots.com\/v9-0\/wp-json\/wp\/v2\/categories?post=30485"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/multisite.korebots.com\/v9-0\/wp-json\/wp\/v2\/tags?post=30485"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}