Search by tag «Semantics» 4 results

  • Datathon on Texts Annotation: How Programmers and Humanities Specialists Analyze Texts

    This past weekend, ITMO University held the first ever datathon on texts annotation. Over 80 participants from different fields, from programming to humanities, competed to solve the tasks on the linguistic annotation of historical and culturological sources. The datathon came hand in hand with an extensive educational program presented by educators of the seminar on natural language processing organized by ITMO together with Huawei. In their presentations, they focused on topical tasks of the applied artificial intelligence and modern trends in the field of natural language processing. Here’s more about the datathon.


  • Bloomberg Experts: Semantic Tech to Improve Financial Operations

    Today, executing financial operations often requires the use of identifiers to clearly specify the different financial instruments used - such as equities, bonds, options and so on. But these IDs may be different in various organizations and countries, which can lead to mistakes and slowing down financial operations. At the recent Digital Transformation & Global Society Conference hosted by ITMO University, the Bloomberg experts Richard  Beatch  and Inessa Collier, as well as Dr. Yuri Lipuntsov, Associate Professor at the Moscow State University, spoke about new standards of identification of financial instruments and how they can help solve such problems.


  • "In English, Please": De-Jargonizer Helps Make Science Accessible

    Israeli scientists have developed software that can analyze a scientific article’s level of comprehensibility. The algorithm, named De-Jargonizer, separates words into three categories according to their frequency of use and, using a simple formula, determines how accessible the text will be to a wider audience. Having tested their software on articles from PLOS ONE, the scientists learned that the abstracts of some articles can consist of rare scientific terms by up to 27 percent. Developers hope that their program will help adapt texts to be more accessible to a majority of people.


  • Technopark Resident VISmart: Helping Machines Think Like Humans

    Semantic information processing technologies and semantic web software will soon allow search engines to think almost like humans. Among other things, they would be able to make logical connections between various bits of data and combine databases into unified information systems. Better yet, this related data will be visualized in a form comprehensible to a regular user. The company VISmart, a resident of ITMO University’s Technopark, is working on several projects in this field. Recently they were joined by a scientist from Austria whose research will help VISmart in improving their service that focuses on searching for and visualizing information using semantic technology.