Collaboration is a key component of research. Original research papers with a single author are — particularly in the life sciences — a vanishing breed. This makes it difficult to identify author contributions and acknowledgements, as well as to mine any data from the unstructured information.
When we (at least those of us in Greater Mexico) hear of or read about Cinco de Mayo there is no question in our minds that “Mayo” refers to the month of May. The preceding “Cinco de” (Spanish for “Fifth of”) pretty much clinches it. Of course, if the overall content is in Spanish, there might still might be some ambiguity about whether it is the holiday that is being referred to, or simply a date that happens to be the one after the fourth of May. (As in “Hey, what day do we get off work?” “The fourth of July, I think.”)
Infolinx System Solutions has partnered with Bizquip Business Solutions and in turn expanded its global presence. Now integrated with ECM products like Microsoft SharePoint® and Laserfiche, the Infolinx application provides clients with a contemporary technology platform, a browser agnostic application interface, expanded records request capability, and improved reporting functionality.
We are always excited to share with our readers career opportunities in the world of taxonomy, metadata and semantic technology. Even if you aren’t in the market for a career move, it is always good to stay on top of what is available and how the fields are evolving.
TEMIS has entered into a strategic agreement with CABI, a not-for-profit organization providing information and applying scientific expertise to address problems in agriculture and the environment.
Apple is looking for a of Chicago is looking for a Software Engineer for Natural Language Processing. Apple's Natural Languages Group is responsible for a wide range of natural language processing and data, including auto correction, spellchecking, parts-of-speech tagging, input method conversion, and other technologies that incorporate natural-language information.
I would like to make some observations about statistics-based categorization and search, and about the advantages that their proponents claim. First of all, statistics-based co-occurrence approaches do have their place. For wide-ranging bodies of text such as email archives and social media exchanges, and for assessing the nature of an unknown collection of documents, a well-defined collection of concepts covering a pre-determined area of study and practice is not possible. For lack of this foundation, and for lack of other practical approaches, attempts at analysis fall back on less-than -ideal mathematical approaches.