Extracting explainable corpora embeddings
AssigneeIntuit Inc.
InventorsMaria Kissa, Glenn Carter Scott
Life of this patent
Estimating the term…
Abstract
A method extracts explainable corpora embeddings. The method includes constructing a graph with nodes representing terms from a text sequence and edges that include pointwise values generated between pairs of terms. The method further includes generating a rank vector from the graph. Elements of the rank vector correspond to the edges of the graph. A rank value, of the rank values, corresponds to a term from the text sequence. The method further includes selecting the term by comparing the rank vector to a previous rank vector generated for a previous text sequence.
Claims20
A method comprising:
- constructing a graph with a plurality of nodes representing a plurality of terms from a text sequence and a plurality of edges comprising a plurality of pointwise values generated between pairs of terms from the plurality of terms, wherein the text sequence is extracted from a session;
- generating a rank vector from the graph, wherein a plurality of elements of the rank vector correspond to the plurality of edges of the graph, and wherein a rank value, of a plurality of rank values, corresponds to a term, of the plurality of terms, from the text sequence;
- selecting the term by comparing the rank vector for the session to a previous rank vector generated from a previous text sequence for a previous session;
- selecting a recommended text sequence using the term;
- and
- presenting a link to the recommended text sequence.
A system comprising:
- at least one processor;
- a graph controller executing on the at least one processor to generate a graph;
- a rank controller executing on the at least one processor to generate a rank vector;
- a selection controller executing on the at least one processor configured to select a term;
- and
- a server application executing on the at least one processor, performing:
- constructing the graph with a plurality of nodes representing a plurality of terms from a text sequence and a plurality of edges comprising a plurality of pointwise values generated between pairs of terms from the plurality of terms, wherein the text sequence is extracted from a session,
- generating the rank vector from the graph, wherein a plurality of elements of the rank vector correspond to the plurality of edges of the graph, and wherein a rank value, of a plurality of rank values, corresponds to the term, of the plurality of terms, from the text sequence,
- selecting the term by comparing the rank vector for the session to a previous rank vector generated from a previous text sequence for a previous session,
- selecting a recommended text sequence using the term, and
- presenting a link to the recommended text sequence.
A method comprising:
- interacting, by a client application, with a server application to generate a corpus of text sequences recorded by a server,
- wherein, a graph is constructed with a plurality of nodes representing a plurality of terms from a text sequence and a plurality of edges comprising a plurality of pointwise values generated between pairs of terms from the plurality of terms,
- wherein the text sequence is extracted from a session,
- wherein a rank vector is generated from the graph, wherein a plurality of elements of the rank vector correspond to the plurality of edges of the graph, and wherein a rank value, of a plurality of rank values, corresponds to a term, of the plurality of terms, from the text sequence, and
- wherein the term is selected by comparing the rank vector for the session to a previous rank vector generated from a previous text sequence for a previous session, and
- wherein a recommended text sequence is selected using the term;
- and
- displaying a link to the recommended text sequence.
Dependencies are inferred from the claim text.