JP2022538591A - 自然言語理解(nlu)フレームワークにおける予測的類似性スコアリングサブシステム - Google Patents
自然言語理解(nlu)フレームワークにおける予測的類似性スコアリングサブシステム Download PDFInfo
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Abstract
Description
本出願は、あらゆる目的で全体として参照により本明細書に組み込まれている、2019年7月2日に出願された「PREDICTIVE SIMILARITY SCORING SUBSYSTEM IN A NATURAL LANGUAGE UNDERSTANDING (NLU) FRAMEWORK」という名称の米国仮特許出願第62/869,817号の優先権および利益を主張する。本出願はまた、あらゆる目的で全体として参照により本明細書に組み込まれている、各々2019年7月2日に出願された「SYSTEM AND METHOD FOR PERFORMING A MEANING SEARCH USING A NATURAL LANGUAGE UNDERSTANDING (NLU) FRAMEWORK」という名称の米国仮特許出願第62/869,864号、「DERIVING MULTIPLE MEANING REPRESENTATIONS FOR AN UTTERANCE IN A NATURAL LANGUAGE UNDERSTANDING (NLU) FRAMEWORK」という名称の米国仮特許出願第62/869,826号、および「PINNING ARTIFACTS FOR EXPANSION OF SEARCH KEYS AND SEARCH SPACES IN A NATURAL LANGUAGE UNDERSTANDING (NLU) FRAMEWORK」という名称の米国仮特許出願第62/869,811号に関係する。
Claims (20)
- 形式クラスデータベースを有する類似性スコアリングサブシステムを含む自然言語理解(NLU)フレームワークを記憶するように構成されたメモリと、
命令を実行するように構成されたプロセッサとを含み、前記命令が、前記NLUフレームワークの前記類似性スコアリングサブシステムに、
ユーザ発話の意味表現を受け取るステップと、
前記意味表現の認知構文文法(CCG)形式を識別するステップと、
前記意味表現の前記CCG形式に整合する前記形式クラスデータベースの少なくとも1つの形式クラスエントリを判定するステップと、
前記少なくとも1つの形式クラスエントリからの数学的比較関数リストを検索するステップとを含む行動を実行させ、前記数学的比較関数リストが、前記類似性スコアリングサブシステムが、前記意味表現の少なくとも一部分と探索空間意味表現の少なくとも探索空間部分との間の類似性スコアを判定するために、前記意味表現の前記少なくとも一部分と前記探索空間意味表現の前記少なくとも探索空間部分とを比較することを有効にする、
エージェント自動化システム。 - 前記数学的比較関数リストが、前記類似性スコアリングサブシステムが、前記意味表現と前記探索空間意味表現とを比較するために、より計算的に高価な関数を累進的に利用することを有効にする順序付きの関数セットを含む、請求項1に記載のエージェント自動化システム。
- 前記探索空間意味表現が、前記NLUフレームワークの探索空間を定義する複数の探索空間意味表現のうちの1つであり、前記命令が、前記類似性スコアリングサブシステムに、前記ユーザ発話の前記意味表現に整合する前記複数の探索空間意味表現の部分集合に対して前記探索空間を探索するステップを含む行動を実行させる、請求項1に記載のエージェント自動化システム。
- 前記命令が、前記類似性スコアリングサブシステムに、前記意味表現と前記探索空間意味表現との間の前記類似性スコアを判定するために、前記数学的比較関数リストを介して前記意味表現と前記探索空間意味表現とを比較するステップを含む行動を実行させる、請求項1に記載のエージェント自動化システム。
- 前記類似性スコアリングサブシステムが、
前記類似性スコアを判定するために、前記意味表現の第1の根ノードと前記探索空間意味表現の第2の根ノードとを比較し、
前記類似性スコアを精練するために、前記意味表現の前記第1の根ノードおよび第1の従属ノードと前記探索空間意味表現の前記第2の根ノードおよび第2の従属ノードとを比較することによって、前記意味表現と前記探索空間意味表現とを比較するように構成される、請求項4に記載のエージェント自動化システム。 - 前記命令が、前記類似性スコアリングサブシステムに、
前記類似性スコアが所定の閾値スコアより小さいかどうかを判定するステップと、
前記類似性スコアが前記所定の閾値スコアより小さいと判定したことに応答して、前記探索空間意味表現を前記意味表現との後の比較から無視するステップとを含む行動を実行させる、請求項5に記載のエージェント自動化システム。 - 前記意味表現が発話木構造を含み、前記発話木構造が、根ノードと、前記根ノードに意味論的に結合された少なくとも1つの従属ノードとを含む、請求項1に記載のエージェント自動化システム。
- 前記意味表現の前記少なくとも一部分が、前記根ノードであり、前記探索空間意味表現の前記少なくとも探索空間部分が、前記探索空間意味表現の探索空間根ノードであり、したがって前記類似性スコアが、前記根ノードの部分木ベクトルと前記探索空間根ノードの部分木ベクトルとの間の類似性を定量化する、請求項7に記載のエージェント自動化システム。
- 前記CCG形式が第1のCCG形式を含み、前記少なくとも1つの形式クラスエントリが第1の形式クラスエントリを含み、前記数学的比較関数リストが第1の数学的比較関数リストを含み、前記命令が、前記類似性スコアリングサブシステムに、
前記意味表現の第2のCCG形式を識別するステップと、
前記意味表現の前記第2のCCG形式に整合する前記形式クラスデータベースの第2の形式クラスエントリを判定するステップと、
前記第2の形式クラスエントリから第2の数学的比較関数リストを検索するステップとを含む行動を実行させる、請求項1に記載のエージェント自動化システム。 - 前記命令が、前記類似性スコアリングサブシステムに、
第1の類似性スコアを判定するために、前記第1の数学的比較関数リストを介して前記意味表現と前記探索空間意味表現とを比較するステップと、
第2の類似性スコアを判定するために、前記第2の数学的比較関数リストを介して前記意味表現と前記探索空間意味表現とを比較するステップと、
照合関数を介して前記第1の類似性スコアおよび前記第2の類似性スコアを総類似性スコアに集約するステップとを含む行動を実行させ、前記総類似性スコアが、前記類似性スコアリングサブシステムが、前記探索空間意味表現が前記意味表現に対する整合であるかどうかを判定することを有効にする、請求項9に記載のエージェント自動化システム。 - エージェント自動化システムの類似性スコアリングサブシステムを動作させる方法であって、
前記エージェント自動化システムの探索空間を定義する複数の探索空間意味表現の各探索空間意味表現に対して、複数の初期類似性スコアを生成するために、複数の比較関数を介して、意味表現の第1の部分と前記複数の探索空間意味表現の複数の探索空間部分とを比較するステップと、
前記複数の探索空間意味表現のうちの類似していない探索空間意味表現の前記探索空間を剪定するステップであり、前記類似していない探索空間意味表現の各々が、前記複数の初期類似性スコアのうち、所定のスコア閾値を下回るそれぞれの類似性スコアを提供する、剪定するステップと、
前記意味表現と前記探索空間内に残っている前記複数の探索空間意味表現との間で考慮されるノードの数を増大させるステップと、
前記探索空間内に残っている前記複数の探索空間意味表現の各々に対して、複数の精練された類似性スコアを生成するために、前記複数の比較関数を介して、前記意味表現および前記複数の探索空間意味表現の前記考慮ノードを比較するステップと、
前記複数の精練された類似性スコアのうち、前記所定のスコア閾値を下回るそれぞれの類似性スコアを提供する前記類似していない探索空間意味表現の前記探索空間を剪定するステップと、
前記探索空間内に残っている前記複数の探索空間意味表現のあらゆる探索空間意味表現から前記意味表現に対する意味表現整合を識別するステップとを含む方法。 - 考慮される前記ノードの数を増大させるステップが、前記意味表現の追加のノードおよび前記探索空間内に残っている前記複数の探索空間意味表現の追加の探索空間ノードを考慮することを含む、請求項11に記載の方法。
- 前記複数の精練された類似性スコアのうち、前記所定のスコア閾値を下回るそれぞれの類似性スコアを有するあらゆる類似していない探索空間意味表現の前記探索空間を剪定した後、前記意味表現の各ノードが考慮されているかどうかを判定するステップと、
前記意味表現の少なくとも1つのノードが考慮されていないと判定したことに応答して、前記意味表現と前記探索空間内に残っている前記複数の探索空間意味表現との間で考慮される前記ノードの数を増大させるステップに戻るステップと
を含む、請求項11に記載の方法。 - 前記複数の比較関数を判定するステップを含み、前記複数の比較関数を判定するステップが、
前記意味表現の認知構文文法(CCG)形式を識別することと、
前記意味表現の前記CCG形式に整合する形式クラスデータベースの少なくとも1つの形式クラスエントリを判定するステップと、
前記少なくとも1つの形式クラスエントリから前記複数の比較関数を含む数学的比較関数リストを検索するステップとによって行われる、請求項11に記載の方法。 - 前記意味表現の前記CCG形式に整合する前記少なくとも1つの形式クラスエントリを判定するステップが、前記形式クラスデータベースが、前記意味表現の前記CCG形式と前記複数の探索空間意味表現のうちの少なくとも1つの比較可能なCCG形式とを比較するために、前記数学的比較関数リストを含むことを識別するステップを含む、請求項11に記載の方法。
- 前記意味表現が複数のCCG形式を含むと判定するステップと、
前記複数のCCG形式からのそれぞれのCCG形式の解釈を有する前記意味表現と前記複数の探索空間意味表現とを比較するために、それぞれの精練された類似性スコアを判定するステップと、
前記類似性スコアリングサブシステムの照合関数を介して、各CCG形式の解釈に対する前記それぞれの精練された類似性スコアを総類似性スコアに集約するステップと
を含む、請求項11に記載の方法。 - 前記照合関数が、前記総類似性スコアが、各CCG形式に対する前記それぞれの精練された類似性スコアの最大または加重平均であることを指定する、請求項16に記載の方法。
- 命令を記憶する非一時的コンピュータ可読媒体であって、前記命令が、エージェント自動化システムの1つまたは複数のプロセッサによって実行されるとき、前記エージェント自動化システムに、
受け取ったユーザ発話に対応する意味表現の認知構文文法(CCG)形式を識別するステップと、
前記意味表現の前記CCG形式に整合する形式クラスデータベースの少なくとも1つの形式クラスエントリを判定するステップと、
前記意味表現の前記CCG形式に対応する数学的比較関数リストを検索するステップであり、前記数学的比較関数リストが、前記類似性スコアリングサブシステムが、前記意味表現と探索空間意味表現とを累進的に比較することを有効にする、検索するステップと、
前記意味表現と前記探索空間意味表現とを比較するステップとを行うように、類似性スコアリングサブシステムを実施させ、前記意味表現と前記探索空間意味表現とを比較するステップが、
前記意味表現の第1の考慮部分と前記探索空間意味表現の第2の考慮部分との間の類似性を定量化する類似性スコアを判定するために、前記数学的比較関数リストのそれぞれの関数を適用するステップと、
前記類似性スコアが前記意味表現の全体と前記探索空間意味表現の少なくとも一部分との間の前記類似性を表すまで、または前記後の関数が前記数学的比較関数リストの最も高コストの関数になるまで、前記類似性スコアを精練するために、前記数学的比較関数リストの後の関数を適用するステップとを、反復して行うことによって行われる、非一時的コンピュータ可読媒体。 - 前記探索空間意味表現が、前記エージェント自動化システムの探索空間を定義する複数の探索空間意味表現のうちの1つである、請求項18に記載の非一時的コンピュータ可読媒体。
- 前記命令が、前記エージェント自動化システムに、
前記類似性スコアの各精練後、前記複数の探索空間意味表現のうち、所定のスコア閾値を上回るそれぞれの類似性スコアを提供する類似の探索空間意味表現に、前記探索空間を狭めるステップと、
前記それぞれの類似性スコアが、前記意味表現の全体との類似性を表した後、前記複数の探索空間意味表現のうち、前記探索空間内に残っている類似の探索空間意味表現を、前記意味表現との整合として識別するステップとを行うように、前記類似性スコアリングサブシステムを実施させるように構成される、請求項19に記載の非一時的コンピュータ可読媒体。
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