Abstract: Embodiments provide a computer implemented method, in a data processing system comprising a processor and a memory comprising instructions which are executed by the processor to cause the processor to implement a full question generation system, the method comprising ingesting a query dataset derived from one or more search queries entered by one or more users of an internet search engine; identifying questions from the ingested query dataset; separating one or more prior full questions from the ingested dataset; identifying one or more question intent queries from the query dataset; for each identified question intent query; sorting the question intent query into one or more bins based on one or more missing interrogative words; and appending the missing interrogative word and a verb onto the question intent query to generate a full question. The full question generation method can additionally generate un-canonical questions.

Abstract: A computer-implemented method according to one embodiment includes identifying a textual document, determining chemical data within the textual document, performing an analysis of the chemical data, and determining whether the chemical data is associated with one or more dangerous characteristics, in response to the analysis.

Abstract: According to one embodiment, a computer program product for performing chemical textual analysis comprises a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, and where the program instructions are executable by a processor to cause the processor to perform a method comprising identifying a textual document, utilizing the processor, determining chemical data within the textual document, utilizing the processor, performing an analysis of the chemical data to identify a chemical pathway, utilizing the processor, and calculating a probability score for the chemical pathway, utilizing the processor.

Abstract: A computer-implemented method according to one embodiment includes identifying a textual document, determining chemical data within the textual document, performing an analysis of the chemical data to identify a chemical pathway, and calculating a probability score for the chemical pathway.

Abstract: According to one embodiment, a computer program product for performing chemical textual analysis to discover dangerous chemical pathways includes a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, and where the program instructions are executable by a processor to cause the processor to perform a method comprising identifying a textual document, utilizing the processor, determining, utilizing the processor, chemical data within the textual document, performing an analysis of the chemical data, utilizing the processor, and determining whether the chemical data is associated with one or more dangerous characteristics, in response to the analysis.

Abstract: A computer-implemented method according to one embodiment includes identifying a textual document, determining a chemical reaction within the textual document, extracting a plurality of chemical terms from the chemical reaction, creating an annotation for the chemical reaction, utilizing the plurality of chemical terms, and storing a representation of the annotation for the chemical reaction.

Abstract: In one general embodiment, a computer-implemented method includes identifying an input search term, determining an additional term associated with the input search term, where the additional term targets a predetermined entity, altering the input search term utilizing the determined additional term, and performing a search, utilizing the altered input search term.

Abstract: Embodiments provide a system and method for semantic distance calculation. The method can involve receiving a plurality of documents having a set of subjects extracted through the use of latent dirichlet allocation; for each document in the plurality of documents, generating a classification list comprising a ranking of the one or more subjects based on the relevance of each subject to the document; for each classification list, calculating the semantic distance between each subject present on the classification list; aggregating the plurality of classification lists; and creating a distance matrix containing the relative semantic distances between each member of the set of subjects.

Abstract: Embodiments provide a system and method for semantic distance calculation. The method can involve ingesting a plurality of documents; extracting a set of subjects from the plurality of documents using latent dirichlet allocation; for each document in the plurality of documents, generating a classification list comprising a ranking of the one or more subjects based on the relevance of each subject to the document; for each classification list, calculating the semantic distance between each subject present on the classification list; aggregating the plurality of classification lists; and creating a distance matrix containing the relative semantic distances between each member of the set of subjects.

Abstract: A computer-implemented method according to one embodiment includes identifying a search query, determining a first set of categories associated with the search query, determining a second set of categories associated with preliminary results of the search query, and filtering the preliminary results of the search query based on an analysis utilizing the first set of categories and the second set of categories.

Abstract: In one general embodiment, a computer-implemented method includes identifying an input search term, determining an additional term associated with the input search term, where the additional term targets a predetermined entity, altering the input search term utilizing the determined additional term, and performing a search, utilizing the altered input search term