Abstract: To measure the channel quality of the own cell accurately in a condition where there is no interference from a neighbor cell. A wireless communication terminal according to the invention is a wireless communication terminal to be connected to a base station for transmitting and receiving data to/from the base station, the wireless communication terminal including: a receiver that receives a signal which includes control information provided for measuring a channel quality of own cell from the base station; an extractor that extracts the control information from the signal received by the receiver; a measurement section that measures, on the basis of the control information, the channel quality of the own cell in a domain where a neighbor cell does not transmit a signal; and a transmitter that transmits a measurement result of the channel quality of the own cell measured by the measurement section, to the base station.

Abstract: A base station is disclosed, which is capable of appropriately configuring the timings of data assignment, data transmission and reception, and feedback for a case where the DL and UL sTTI lengths are different from each other. In this base station (100), a transmission section (106) transmits a downlink signal using a first short transmission time interval (sTTI) shortened in length than a TTI and used for downlink; and a reception section (107) receives an uplink signal using a second sTTI shortened in length than the TTI and used for uplink. When the first sTTI is shorter in length than the second sTTI, the reception section (107) receives the uplink signal in the second sTTI positioned after a predetermined interval from the transmission timing of the downlink signal, the predetermined interval being configured based on the length of the first sTTI.

Abstract: A reception processor receives the cell detection reference signals, each of the cell detection reference signals being transmitted from corresponding one of a plurality of cells. An RRM report generator generates measurement information indicating a measurement result of reception quality measured using the cell detection reference signal. A transmission processor transmits the measurement information. The cell detection reference signals are mapped to any one of a plurality of candidate resources, which is a part of a plurality of resources set for other reference signals in a subframe to which the cell detection reference signals are mapped.

Abstract: The information processing device generates headings from structured documents. The acquisition means acquires a structured document including headings and texts. The feature word extraction means extracts feature words from subordinate elements of the heading for the headings included in the structured document. The heading generation means generates a new heading corresponding to the subordinate elements based on the extracted feature words.

Abstract: The information processing device generates headings from structured documents. The acquisition means acquires a structured document including headings and texts. The training data generation means generates training data including the heading as a label and subordinate elements of the heading as input data. The training means trains a generation model using the training data, wherein the generation model generates a heading from the subordinate elements. The heading generation means generates headings included in an objective document using the trained generation model.

Abstract: A document analysis apparatus 10 includes: a candidate generation unit 11 that, for each line included in a document that is a target of structural analysis, specifies another line in a parallel relationship with the line by performing extraction of a marker indicating a hierarchy, and generates a candidate for a hierarchical structure of the document that is the target based on the result of the specification of each line; and a candidate evaluation unit 12 that, if two or more candidates have been generated, performs evaluation on each candidate for the hierarchical structure, and selects one candidate for the hierarchical structure as the hierarchical structure of the document that is the target based on the evaluation result.

Abstract: A scenario generation apparatus includes: a keyword selection unit that extracts a hierarchical structure from documents that is a basis of a scenarios for use in chatbot and has the hierarchical structure, and selects keywords from the headings in each layer of the extracted hierarchical structure, a link candidate generation unit that generates a first scenario candidate in which a link is set between the keywords and a second scenario candidate in which a link is not set between the keywords, by using documents, an evaluation value calculation unit that calculates an evaluation value for the link for each of the generated first scenario candidate and the second scenario candidate according to a setting rule, and a scenario generation unit that adopts one of the scenario candidates based on the calculated evaluation value and generates the scenario using the adopted scenario candidate.

Abstract: A data structuring device 1 includes an acquisition unit 2 and a modeling unit 3. The acquisition unit 2 acquires branch expression data. Branch expression data is data that includes a branch expression, which is an utterance expression in a conversation for which multiple mutually different replies can be assumed. The conversation data is converted to a graph structure in which the content of the conversation is divided into multiple nodes, and the multiple nodes are connected by means of edges. On the basis of the branch expression data obtained by the acquisition unit 2, the modeling unit 3 carries out a process on the multiple items of conversation data in the graph structure in which nodes that share a common branch expression are combined in one node, thereby modeling the multiple items of conversation data in one tree structure.

Abstract: An addition unit 11, with regard to data indicating a conversation history including one or more sets of sentences formed from a problem sentence being a sentence indicating one problem, a question sentence being a sentence indicating a question for the one problem, and an answer sentence being a sentence indicating an answer to the question, adds a label indicating a problem state to the problem sentence within the data, a label indicating a question state to the question sentence within the data, and a label indicating an answer state to the answer sentence within the data. An extraction unit 12 extracts, from the data, a set of sentences with which the states indicated by the labels have been associated according to a state transition model that is a model configured from the one problem state, question state, and answer state, and that represents a transition of the states.

Abstract: A document analysis apparatus 10 includes: a candidate generation unit 11 that, for each line included in a document that is a target of structural analysis, specifies another line in a parallel relationship with the line by performing extraction of a marker indicating a hierarchy, and generates a candidate for a hierarchical structure of the document that is the target based on the result of the specification of each line; and a candidate evaluation unit 12 that, if two or more candidates have been generated, performs evaluation on each candidate for the hierarchical structure, and selects one candidate for the hierarchical structure as the hierarchical structure of the document that is the target based on the evaluation result.

Abstract: A conversation support apparatus 10 includes: an utterance reception unit 11 that receives an utterance in an on-going conversation; an utterance position estimation unit 12 that, for each node in a conversation tree in which at least one of a label and a topic is provided to each node, collates the at least one of the label and the topic provided to the node and the received utterance, and estimates a node that is most related to the received utterance; and a display unit 13 that adds a visual characteristic representation to the estimated node and displays the conversation tree on a screen.

Abstract: A display format determination apparatus is provided with a display number prediction unit that calculates, for each of a plurality of display formats for displaying choices, a predicted value representing a prediction of the number of display items displayed until one of the choices is selected, on the basis of an index value representing, for each choice, a magnitude of a probability that each choice is selected; and a display format determination unit that selects one of the display formats on the basis of the calculated predicted value.

Abstract: A question responding apparatus is provided with a type determination unit that determines, on the basis of a question from a user, the type of answer to the question; a path selection unit that selects one path among paths from a current position node selected from among nodes in a hierarchical structure of information to matching nodes that match the type of answer; and a choices processing unit that presents information that indicates a node included in the selected path to the user as a choice.

Abstract: An addition unit 11, with regard to data indicating a conversation history including one or more sets of sentences formed from a problem sentence being a sentence indicating one problem, a question sentence being a sentence indicating a question for the one problem, and an answer sentence being a sentence indicating an answer to the question, adds a label indicating a problem state to the problem sentence within the data, a label indicating a question state to the question sentence within the data, and a label indicating an answer state to the answer sentence within the data. An extraction unit 12 extracts, from the data, a set of sentences with which the states indicated by the labels have been associated according to a state transition model that is a model configured from the one problem state, question state, and answer state, and that represents a transition of the states.

Abstract: A conversation support apparatus 10 includes: an utterance reception unit 11 that receives an utterance in an on-going conversation; an utterance position estimation unit 12 that, for each node in a conversation tree in which at least one of a label and a topic is provided to each node, collates the at least one of the label and the topic provided to the node and the received utterance, and estimates a node that is most related to the received utterance; and a display unit 13 that adds a visual characteristic representation to the estimated node and displays the conversation tree on a screen.

Abstract: A data structuring device 1 includes an acquisition unit 2 and a modeling unit 3. The acquisition unit 2 acquires branch expression data. Branch expression data is data that includes a branch expression, which is an utterance expression in a conversation for which multiple mutually different replies can be assumed. The conversation data is converted to a graph structure in which the content of the conversation is divided into multiple nodes, and the multiple nodes are connected by means of edges. On the basis of the branch expression data obtained by the acquisition unit 2, the modeling unit 3carries out a process on the multiple items of conversation data in the graph structure in which nodes that share a common branch expression are combined in one node, thereby modeling the multiple items of conversation data in one tree structure.

Abstract: Provided is an information processing system for detecting a project risk more preferably with fewer input information. The system includes: feature representation totalizing means that totalizes an occurrence frequency of a feature representation related to each process based on a set of a message and a time of occurrence of the message, and on feature representation information indicating the feature representation related to the process; and discrepancy determination means that outputs information about discrepancy between ideal and actual states of the process based on an occurrence rate calculated from the occurrence frequency related to the process and on a detection rule that defines a position of the occurrence rate on a time axis.