A conversation device includes: an inquiry unit configured to output an inquiry including presentation of a key; an acquisition unit configured to acquire an answer; a key accumulating unit configured to accumulate keys included in the inquiry as accumulation keys in a case in which a positive answer for the inquiry is acquired; a candidate question sentence extracting unit configured to extract candidate question sentences including the accumulation keys by referring to a question sentence storing unit configured to store a question sentence and a set of keys included in the question sentence in association with each other; a key selecting unit configured to select an inquiry key that is caused to be included in a next inquiry output by the inquiry unit among a plurality of keys included in the candidate question sentences; and an output unit configured to output one question sentence among the candidate question sentences.

Systems for processing queries may first determine correspondence between the parameters of the query and a set of existing data entries, a set of previous queries that have been received, or both the existing data entries and the previous queries. If the query parameters do not correspond to the data entries or pervious queries, correspondence is determined between the query parameters and group data that associates at least a subset the query parameters with a particular group that may generate a response to the query. The same group or the generated response may be used when similar queries are received. If the group transmits the query to a different group or if negative user feedback is received, the group data may be modified to indicate the different group or to remove the association with the initial group that received the query.

A method executed by a computing device includes obtaining a string of words and determining whether two or more words of the string of words are in a word group. When the two or more words are in the word group, the method further includes determining a set of identigens for each word of the word group to produce sets of identigens, where a set of identigens of the sets of identigens represents one or more different meanings of a word of the word group. The method further includes interpreting, using identigen pairing rules, the sets of identigens to produce an entigen group. The method further includes assigning a new entigen to represent the entigen group, where the new entigen represents a most likely meaning interpretation of the word group.

The invention provides a relevance feedback system and computer-implemented method for performing a search in a vector space comprising a first number of target vectors. The method comprises forming a first search query, determining a second number of first search hit vectors among the first number of target vectors based on the first search query vector using a first distance function, determining a third number of flagged vectors, determining a vector subspace spanned by the flagged vectors and/or a second distance function by utilizing the flagged vectors, and determining a plurality of second hit vectors among the target vectors based on the first search query vector and the vector subspace and/or the second distance function.

A method includes obtaining an input sequence and first and second word sequences of metadata of a plurality of datasets. The method also includes determining a set of scores including first scores and second scores by determining first scores by determining a score of the first scores based on a count of the word sequence of the first word sequences in the metadata without determining a count of the input sequence. The method also includes determining second scores by determining a score of the second scores based on a count of a second sequence of the second word sequences in the metadata. The method also includes determining an additional word for a predicted sequence including the input sequence based on the set of scores and retrieving a set of datasets based on the predicted sequence.

Systems and methods are described to address shortcomings in a conventional conversation system via a novel technique utilizing artificial neural networks to train the conversation system whether or not to continue context. In some aspects, an interactive media guidance application determines a type of conversation continuity in a natural language conversation comprising first and second queries. The interactive media guidance application determines a first token in the first query and a second token in the second query. The interactive media guidance application identifies entity data for the first and second tokens. The interactive media guidance application retrieves, from a knowledge graph, graph connections between the entity data for the first and second tokens. The interactive media guidance application applies this data as inputs to an artificial neural network. The interactive media guidance application determines an output that indicates the type of conversation continuity between the first and second queries.

Methods and systems are provided for discriminating ambiguous expressions to enhance user experience. For example, a natural language expression may be received by a speech recognition component. The natural language expression may include at least one of words, terms, and phrases of text. A dialog hypothesis set from the natural language expression may be created by using contextual information. In some cases, the dialog hypothesis set has at least two dialog hypotheses. A plurality of dialog responses may be generated for the dialog hypothesis set. The dialog hypothesis set may be ranked based on an analysis of the plurality of the dialog responses. An action may be performed based on ranking the dialog hypothesis set.

A search engine optimizer which works independently and in parallel with a browser and search engine supercomputer to gather, analyze, and distill input information interactively. The optimizer reorganizes the input, and providing an optimized version as an output. The optimized version of the input (e.g. output) is sent to the search engine which responds to the end user with search results. The optimizer recognizes each request as a pattern and stores the pattern in an advanced Glyph format. This permits the optimizer to identify a left and ride side check mate combination required to achieve certitude.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, modifying queries based on non-textual content. In one aspect, a method includes receiving, from a user device, a query including a plurality of terms; determining active non-textual data displayed in an application environment on the user device; determining, from the non-textual textual data, modification data for the query; generating a set of modified queries based on the query and the modification parameters; scoring the modified queries according to one or more scoring criteria; selecting one of the modified queries based on the scoring; and providing, to the user device, search results responsive to the selected modified query.

Systems for processing queries may first determine correspondence between the parameters of the query and a set of existing data entries, a set of previous queries that have been received, or both the existing data entries and the previous queries. If the query parameters do not correspond to the data entries or pervious queries, correspondence is determined between the query parameters and group data that associates at least a subset the query parameters with a particular group that may generate a response to the query. The same group or the generated response may be used when similar queries are received. If the group transmits the query to a different group or if negative user feedback is received, the group data may be modified to indicate the different group or to remove the association with the initial group that received the query.