Abstract: Systems and method directed to assistive document generation are described. More specifically, similar documents share large portions of reusable text structures that can be used to generate an initial document thereby saving a user time. To generate the document, an indication to create the document may be received and based on the indication, a plurality of example documents and grounding content may be identified. Example documents may be existing documents that are similar to a target document of the writer. Grounding information may refer to content that is relevant, timely, and accurate when applied to the target document. The plurality of example documents and the grounding content may be received, and a document sketch based on the example documents and the grounding content may be generated and contains a plurality of predicted text sequences based on the example documents and the grounding content.

Abstract: Disclosed in certain embodiments are sorbents for capturing heavy hydrocarbons via thermal swing adsorption processes.

Abstract: Disclosed in certain embodiments are methods of removing water from a gas feed stream comprising hydrocarbons and water during an adsorption step of an adsorption cycle.

Abstract: Disclosed in certain embodiments are sorbents for capturing heavy hydrocarbons via thermal swing adsorption processes.

Abstract: Disclosed in certain embodiments are sorbents for capturing heavy hydrocarbons via thermal swing adsorption processes.

Abstract: Mixed adsorbent/desiccant beds comprising in some embodiments from about 20 vol % (volume percent) to about 90 vol % of one or more adsorbents and from about 10 vol % to about 80 vol % of one or more desiccants, based on the total volume of the adsorbent/desiccant mixture, prevent water reflux during thermal regeneration of adsorption beds in gas processing plants and methods.

Abstract: Disclosed in certain embodiments are sorbents for capturing heavy hydrocarbons via thermal swing adsorption processes.

Abstract: The subject disclosure is directed towards developing a translation model for mapping search query terms to document-related data. By processing user logs comprising search histories into word-aligned query-document pairs, the translation model may be trained using data, such as probabilities, corresponding to the word-aligned query-document pairs. After incorporating the translation model into model data for a search engine, the translation model is used may used as features for producing relevance scores for current search queries and ranking documents/advertisements according to relevance.

Abstract: A digital personal assistant is described that determines a mental or emotional state of a user based on one or more signals and, based on the determined mental or emotional state, provides the user with feedback concerning an item of content generated thereby or an activity to be conducted thereby. An API is described that can be used by diverse applications and/or services to communicate with the digital personal assistant for the purpose of obtaining information about the current mental or emotional state of the user. Content tagging logic is described that identifies one or more items of content generated or interacted with by the user and stores metadata in association with the identified item(s) of content. The metadata includes information indicative of the current mental or emotional state of the user during the time period when the user generated or interacted with the content.

Abstract: A processing system is described which generates stimulus information (SI) having one or more stimulus components (SCs) selected from an inventory of such components. The processing system then presents the SI to a group of human recipients, inviting those recipients to provide linguistic descriptions of the SI. The linguistic information that is received thereby has an implicit link to the SCs. Further, each linguistic component is associated with at least one feature of a target environment, such as a target computer system. Hence, the linguistic information also maps to the features of the target environment. These relationships allow applications to use the linguistic information to interact with the target environment in different ways. In one case, the processing system uses a challenge-response authentication task presentation to convey the stimulus information to the recipients.

Abstract: Techniques that facilitate the accomplishment of tasks within applications are presented. An intent-based user experience is available through receiving a natural language statement of intent from a user regarding use of an application, such as a productivity application. The graphical user interface for the user can be configured and reconfigured based on the user's intent; thus creating a task-oriented user interface. The user's intent can be determined through classifying and/or mapping the natural language statement of intent to particular tasks, which can then be associated with one or more tools and information that can be used to accomplish the tasks. The one or more tools and information can be surfaced to the user in the graphical user interface.

Abstract: A processing system is described which generates stimulus information (SI) having one or more stimulus components (SCs) selected from an inventory of such components. The processing system then presents the SI to a group of human recipients, inviting those recipients to provide linguistic descriptions of the SI. The linguistic information that is received thereby has an implicit link to the SCs. Further, each linguistic component is associated with at least one feature of a target environment, such as a target computer system. Hence, the linguistic information also maps to the features of the target environment. These relationships allow applications to use the linguistic information to interact with the target environment in different ways. In one case, the processing system uses a challenge-response authentication task presentation to convey the stimulus information to the recipients.

Abstract: The subject disclosure is directed towards developing a translation model for mapping search query terms to document-related data. By processing user logs comprising search histories into word-aligned query-document pairs, the translation model may be trained using data, such as probabilities, corresponding to the word-aligned query-document pairs. After incorporating the translation model into model data for a search engine, the translation model is used may used as features for producing relevance scores for current search queries and ranking documents/advertisements according to relevance.

Abstract: The subject disclosure generally describes a technology by which text and/or speech descriptions are collected by showing a stimulus such as video clips to contributors (e.g., of a crowd-sourcing service). The descriptions, which are in the language of each contributor's choice, are of the same stimulus and thus associated with one another. While each contributor may be monolingual, the technique allows for the collection of approximately bilingual data, since more than one language may be represented among the different contributors. The descriptions may be used as translation data for training a machine translation engine, and as paraphrase data (grouped by the same language) for training a machine paraphrasing system. Also described is evaluating the quality of a machine paraphrasing system via a distinctiveness metric.

Abstract: A corpus is provided of language usage by non-native users of the language. Characteristics of the corpus are measured and used to create a language usage classifier for indicating non-native usage of the language. Once the language usage classifier is created, a natural language input may be entered, and the characteristics thereof measured. These characteristics are then compared with the indicators of non-native usage, thereby detecting non-native usage. The evaluation of non-native usage may be used as a versatile foundation to enhance a wide variety of tools and applications dealing with user interaction in languages other than their native language.

Abstract: A method for providing aligned editorial corrections to a database is discussed. The method includes receiving a first text in a language and organizing the first text into one or more sentences. The method further includes editing a copy of the first text to create a second text. The second text is in the language of the first text. The method further includes aligning the sentences of the first text with corresponding sentences of the second text storing the aligned sentences on a computer readable medium. A system for providing a data structure having aligned editorial corrections is also discussed. The system includes an alignment component for receiving a first text and organizing the first text into sentences. The system also includes a user interface configured to provide a second text, wherein the second text is an edited version of the first text in the language of the first text.

Abstract: A mining system applies queries to retrieve result items from an unstructured resource. The unstructured resource may correspond to a repository of network-accessible resource items. The result items that are retrieved may correspond to text segments (e.g., sentence fragments) associated with resource items. The mining system produces a structured training set by filtering the result items and establishing respective pairs of result items. A training system can use the training set to produce a statistical translation model. The translation model can be used in a monolingual context to translate between semantically-related phrases in a single language. The translation model can also be used in a bilingual context to translate between phrases expressed in two respective languages. Various applications of the translation model are also described.

Abstract: Collocation errors can be automatically proofed using local and network-based corpora, including the Web. For example, according to one illustrative method, one or more collocations from a text sample are compared with a corpus such as the content of the Web. The collocations are identified for whether they are disfavored in the corpus. Indications are provided via an output device of whether the collocations are disfavored in the corpus. Additional steps may then be taken such as searching for and providing potentially proper word collocations via a user output.

Abstract: A system is utilized for determining a relationship between first and second textual inputs. The system identifies constituents in the first textual input, having predetermined characteristics indicative of usefulness in determining the relationship. The relationship is then determined based on the constituents identified. The constituents can be eliminated from the first textual input, weighted in the first textual input, or simply annotated in one of a variety of ways.

Abstract: The present invention obtains a set of text segments from a cluster of different articles written about a common event. The set of text segments is then subjected to textual alignment techniques to identify paraphrases from the text segments in the text. The invention can also be used to generate paraphrases.