A method and apparatus for providing search results based at least in part on uncertainty.

Methods, systems, and computer program products for consolidating Web pages displayed in multiple browsers at a computer processing device are provided. A method includes generating an information file in response to initiation of a browser instance and creating a file record for each web page accessed during the browser instance. The file record includes session history data for each web page. The method also includes consolidating each of the file records from the information file with other file records from another information file created in response to another browser instance. The method further includes displaying a single view of browser activity corresponding to the browser instance and the other browser instance resulting from the consolidation.

The present invention provides a system and method for optimizing a message. Components of a starting message are identified, and at least one rule is applied for modifying at least one message component to create at least one variation of the starting message. Message variants are tested by sending each variant to a sample of people and measuring a response rate for each sent message variant. The measured response rates are used to create an optimal version of the message. In one embodiment, message variants may be created and tested in multiple rounds.

Embodiments relate to a method, apparatus and program product and for generating a natural language processing model for an information domain. The method derives a skeleton of a natural language lexicon from a source model and uses it to form a dictionary. It also applies a set of syntactical rules defining concepts and relationships to the dictionary and expands the skeleton of the natural language lexicon based on a plurality of reference documents from the information domain. Using the expanded skeleton of the natural language lexicon, it also provides a natural language processing model for the information domain.

A computer-implemented method, program product, and system, for extracting pieces of text from a plurality of pieces of text. The method includes: primarily evaluating a measure of positive expressions and a measure of negative expressions included in each of pieces of text; secondarily evaluating each of the pieces of text on the basis of a plurality of evaluation functions, where certain evaluation functions among the plurality of evaluation functions include, as variables, the measure of positive expressions and the measure of negative expressions; and extracting a piece of text having an evaluation result with a higher rating in preference to a piece of text having an evaluation result with a lower rating, where the individual evaluation results are based on the same evaluation function among the plurality of evaluation functions.

Source data statements that had been received for the request are semantically analyzed, which includes matching elements in the received source data statements to respective one or more entries in an ontology associated with a domain that had been selected for the received source data statements. The ontology includes items and relationships that define the selected domain. Each element in the received source data statements is a word or a phrase. The one or more entries are assigned to the matched elements, respectively, to annotate each matched element with a respective annotation consisting of the respective one or more entries. The annotated elements are saved with the respective annotations. The annotations are used to generate a search query for the request.

A method, system or computer usable program product for utilizing a dialectical model for providing an answer to a user query including receiving a query from a user; applying NLP to the query to generate a first set of NLP structures; generating a contrary set of NLP structures contrary to the user query; evaluating the first set of NLP structures to identify a first set of evidence; evaluating the contrary set of NLP structures to identify a second set of evidence; evaluating a first set of hypotheses from the first set of NLP structures based by the first and second set of evidence, and a contrary set of hypotheses from the contrary set of NLP structures based by the first and second set of evidence, to determine a set of answers to the user query; and providing the set of answers to the user.

A system and method for automatically generating a narrative story receives data and information pertaining to a domain event. The received data and information and/or one or more derived features are then used to identify a plurality of angles for the narrative story. The plurality of angles is then filtered, for example through use of parameters that specify a focus for the narrative story, length of the narrative story, etc. Points associated with the filtered plurality of angles are then assembled and the narrative story is rendered using the filtered plurality of angles and the assembled points.

A computing system for facilitating screen readers of online electronic documents includes a processor running computer readable program code configured to generate a structured electronic document including markup language code and scripting language code whose execution is triggered by an occurrence of an event associated with execution of the markup language code. Memory stores a configuration file that maps of functions of a screen reader program to functions performed by the scripting language code when the scripting language code is executed in response to the occurrence of the event. The processor executes computer readable program code configured to incorporate the configuration file within structured electronic document. On a client system, a given function of the scripting language code executes in response to the occurrence of the event, and, in response to the execution of the given function, the screen reader program performs each accessibility function mapped to the given function.

A cellular phone includes a display surface; a touch sensor configured to detect an input with respect to the display surface; and a CPU configured to control a display. In the case where a predetermined page of an electronic document is displayed on the display, the CPU updates, while an input is continuously detected by the touch sensor, an amount to be turned when pages of the electronic document are turned, and determines an amount to be turned by which the electronic document is turned based on the updated amount to be turned at a timing when the input is terminated.