JP7419485B2 - 非要請型コンテンツの人間対コンピュータダイアログ内へのプロアクティブな組込み - Google Patents
非要請型コンテンツの人間対コンピュータダイアログ内へのプロアクティブな組込み Download PDFInfo
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
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- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
- G06F40/295—Named entity recognition
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/40—Processing or translation of natural language
- G06F40/55—Rule-based translation
- G06F40/56—Natural language generation
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
- G10L15/18—Speech classification or search using natural language modelling
- G10L15/1815—Semantic context, e.g. disambiguation of the recognition hypotheses based on word meaning
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- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L15/222—Barge in, i.e. overridable guidance for interrupting prompts
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- G—PHYSICS
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- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/226—Procedures used during a speech recognition process, e.g. man-machine dialogue using non-speech characteristics
- G10L2015/227—Procedures used during a speech recognition process, e.g. man-machine dialogue using non-speech characteristics of the speaker; Human-factor methodology
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Description
1061~N クライアントコンピューティングデバイス、クライアントデバイス
1071~N メッセージ交換クライアント
1091~N アプリケーション、MISC.APP
120 自動アシスタント
122 自然言語プロセッサ
124 知識グラフ
126 ユーザプロファイルデータベース、データベース、ユーザプロファイル
130 応答性コンテンツエンジン
132 行為モジュール
134 エンティティモジュール
136 プロアクティブコンテンツモジュール
138 フレッシュなコンテンツモジュール
140 種々雑多なドメインモジュール
210 コンピューティングデバイス
280 自然言語入力
282 応答性自然言語出力
406 クライアントデバイス
606 クライアントデバイス
640 タッチスクリーン
642 トランスクリプト
644 入力フィールド、ユーザ入力フィールド
646 カード
648 ハイパーリンク
842 トランスクリプト
900 方法
1010 コンピューティングデバイス
1012 バスサブシステム
1014 プロセッサ
1016 ネットワークインターフェースサブシステム
1020 ユーザインターフェース出力デバイス
1022 ユーザインターフェース入力デバイス
1024 記憶サブシステム
1025 メモリサブシステム
1026 ファイル記憶サブシステム
1030 メインランダムアクセスメモリ(RAM)
1032 読取り専用メモリ(ROM)
Claims (20)
ユーザと前記プロセッサの1つまたは複数によって実行される自動アシスタントとが関与するダイアログセッションの一部として前記ユーザに入力された要求に基づいて、前記ユーザの要求に含まれた複数の基準を満たす1つまたは複数のリソースを識別するステップと、
要請型自然言語コンテンツを生成するステップであって、前記要請型自然言語コンテンツは、前記複数の基準を満たす前記1つまたは複数のリソースを前記ユーザに伝送する、ステップと、
前記自動アシスタントによって、前記要請型自然言語コンテンツを、前記ユーザと前記自動アシスタントとが関与する前記ダイアログセッションに組み込むステップと、
前記複数の基準を満たす前記リソースの1つまたは複数を選択する追加の入力を前記ユーザから受け取るステップと、
前記複数の基準のうちの第1の基準を満たすが、前記複数の基準のうちの第2の基準を満たさない少なくとも1つの追加のリソースをプロアクティブに識別するステップと、
非要請型自然言語コンテンツを生成するステップであって、前記非要請型自然言語コンテンツが、前記選択された1つまたは複数のリソースの代替として、前記ユーザによる支出が少なくて済む前記少なくとも1つの追加リソースを前記ユーザに示唆する、ステップと、
前記自動アシスタントが、同じダイアログセッションで前記ユーザに対する前記自動アシスタントの未解決の義務を満たしたと判定した後に、あるいは、
前記ユーザと前記自動アシスタントが関与する後続のダイアログセッションにおいて、
前記ユーザが前記非要請型自然言語コンテンツを具体的に要求することなく、前記非要請型自然言語コンテンツを前記ユーザに自動的に出力させるステップと
を備える、方法。
ユーザと前記プロセッサの1つまたは複数によって実行される自動アシスタントとが関与するダイアログセッションの一部として前記ユーザに入力された要求に基づいて、前記ユーザの要求に含まれた複数の基準を満たす1つまたは複数のリソースを識別するステップと、
要請型自然言語コンテンツを生成するステップであって、前記要請型自然言語コンテンツは、前記複数の基準を満たす前記1つまたは複数のリソースに対応する1つまたは複数の選択可能な要素を含む、ステップと、
前記自動アシスタントによって、前記要請型自然言語コンテンツを、前記ユーザと前記自動アシスタントとが関与する前記ダイアログセッションに組み込むステップと、
前記複数の基準のうちの第1の基準を満たすが、前記複数の基準のうちの第2の基準を満たさない少なくとも1つの追加のリソースをプロアクティブに識別するステップと、
非要請型自然言語コンテンツを生成するステップであって、前記非要請型自然言語コンテンツが、前記1つまたは複数のリソースの代替として、前記ユーザによる支出が少なくて済む前記少なくとも1つの追加リソースを前記ユーザに示唆する、ステップと、
前記自動アシスタントが、前記ユーザに対する前記自動アシスタントの未解決の義務を満たしたと判定した後に、あるいは、
前記ユーザと前記自動アシスタントが関与する後続のダイアログセッションにおいて、
前記ユーザが前記非要請型自然言語コンテンツを具体的に要求することなく、前記非要請型自然言語コンテンツを前記ユーザに自動的に出力させるステップであって、前記非要請型自然言語コンテンツ出力が前記ユーザに自動的に出力される、ステップと
を行わせる命令を格納する、システム。
ユーザと前記プロセッサの1つまたは複数によって実行される自動アシスタントとが関与するダイアログセッションの一部として前記ユーザに入力された要求に基づいて、前記ユーザの要求に含まれた複数の基準を満たす1つまたは複数のリソースを識別するステップと、
要請型コンテンツを生成するステップであって、前記要請型コンテンツは、前記複数の基準を満たす前記1つまたは複数のリソースに対応する1つまたは複数の選択可能な要素を含む、ステップと、
前記自動アシスタントによって、前記要請型コンテンツを、前記ユーザと前記自動アシスタントとが関与する前記ダイアログセッションに組み込むステップと、
前記複数の基準のうちの第1の基準を満たすが、前記複数の基準のうちの第2の基準を満たさない少なくとも1つの追加のリソースをプロアクティブに識別するステップと、
非要請型自然言語コンテンツを生成するステップであって、前記非要請型自然言語コンテンツが、前記1つまたは複数のリソースの代替として、前記ユーザによる支出が少なくて済む前記少なくとも1つの追加リソースを前記ユーザに示唆する、ステップと、
前記自動アシスタントが、同じダイアログセッションで前記ユーザに対する前記自動アシスタントの未解決の義務を満たしたと判定した後に、あるいは、
前記ユーザと前記自動アシスタントが関与する後続のダイアログセッションにおいて、
前記ユーザが前記非要請型自然言語コンテンツを具体的に要求することなく、前記非要請型自然言語コンテンツを前記ユーザに自動的に出力させるステップであって、前記非要請型自然言語コンテンツ出力が、前記ユーザに自動的に出力される、ステップと
を備える、方法。
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US15/825,919 | 2017-11-29 | ||
US15/825,919 US10482882B2 (en) | 2017-05-03 | 2017-11-29 | Proactive incorporation of unsolicited content into human-to-computer dialogs |
JP2021026066A JP7192001B2 (ja) | 2017-05-03 | 2021-02-22 | 非要請型コンテンツの人間対コンピュータダイアログ内へのプロアクティブな組込み |
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