Ernst and Young has shortlisted BCL Technologies to participate in this year’s Accelerating Entrepreneurs program, which is part of EY’s commitment to helping high-potential entrepreneurs around the world scale up their business.
December 5, 2014 - Matchi Global FinTech Innovation Challenge for Corporate Banking Solutions
won 2014 Matchi Global FinTech Innovation Challenge and presented its technology for Financial Text Extraction, funded in part by the US National Science Foundation. The first use of this technology will be the extraction of all financial data from Earnings Releases in minutes, saving hours over the current manual process.
October 1, 2014 - FinDEVr San Francisco. BCL Technologies was selected by Findevr San Francisco, the first event for Fintech Developers, to present its National Science Foundation (NSF) funded Financial Text Extraction System (FTES) API. The FTES is a system that converts virtually any Unstructured Financial Text to Structured Financial Data that can be accessed like a database. Find out more about FinDEVr San Francisco.
July 2014 - Presenting two papers.
- Financial Data Extraction – An Application. The Intelligent Systems and Agents 2014 Conference. Multi Conference on Computer Science and Information Systems (MCCSIS 2014). July 2014. Lisbon, Portugal.
- Financial Data Tagging and Extraction - A Machine Learning Approach. The 2014 International Conference on Advances in Big Data Analytics. World Congress in Computer Science Computer Engineering and Applied Computing. July 2014, Las Vegas, USA.
November 12-14, 2013 - The IEEE International Conference on Homeland Security (HST’13)
July 2013 - International Conference on Artificial Intelligence (ICAI)
November 2012 - 25th XBRL International Conference in Yokohama
March 30, 2012 - IEEE Conference in New York City
Session 5Y, 2.30 PM-4.00 PM: " A Pattern Recognition Approach to Automated XBRL Extraction" (www.ieee-cifer.org
BCL has been a leader in performing research that combines the fields of Natural Language Processing (NLP) and Document Analysis and Recognition (DAR).
NLP and DAR have a history of close cooperation in developing products that span this divide. Exciting developmental research has been conducted toward natural-language-based search engines for web-based repositories, document summarization, email summarization, document classification, and web page classification.
Natural Language Processing
BCL Technologies offers various ways to communicate with desktop computers and handheld devices using linguistic interfaces for multiple languages, including English, Arabic, Urdu-Hindi, and Korean. The majority of traditional natural-language-based systems cannot handle slight deviations from pre-defined sets of constructs, and therefore do not allow humans to communicate with machines intuitively. BCL's Natural Language (NL) capabilities offer freedom for users to communicate with voice-enabled handheld devices and desktop computers using natural languages with any number of variations in which a specific command or query may be stated. The applications BCL has developed and is currently developing entail semantic annotation, word sense disambiguation, lexical summarization, text simplification, categorization, word sense disambiguation, and speech-based language learning tools.
BCL holds several patents pending in this area. Its research is published widely
in refereed journals and peer-reviewed conferences. BCL has been granted a number of multilingual federally funded projects
in Natural Language Processing and text processing in the last ten years.
Document Analysis and Recognition
BCL carries out research in all areas of document recognition and analysis. BCL's widely published research on document layout analysis has been incorporated in its award winning document conversion products. BCL is the world leader in providing PDF conversion tools. This product suite includes tools for converting PDF files to Word, PDF files to HTML, PDF files to RTF, and PDF files to ASCII text. Research in DAR has resulted in two product suites. One comes in the form of Adobe Acrobat plugins, meaning the users need to have a copy of full Adobe Acrobat running in their machines. The other is independent of Adobe Acrobat, but offers similar features.
BCL has been granted federally funded projects in the area of document analysis and recognition in the last ten years. It also has several patents in this area, either granted or pending.
Awards and Achievements
National Science Foundation (NSF) SBIR (2013)
The National Science Foundation (NSF) is a United States government agency that supports fundamental research and education in all the non-medical fields of science and engineering. NSF SBIR/STTR programs incentivize and enable startups and small business to undertake R&D with high technical risk and high commercial reward.
More info about the program
Authorship Analysis for Cognitive Information Operations (2012)
The Small Business Innovation Research (SBIR) program is a United States Government program, coordinated by the Small Business Administration and the Department of Defense (DoD). This US Navy funded award focuses on developing methods to determine document author signatures from features derived from text using Natural Language Processing methods.
More info about the program.
Best XBRL tool Award at XBRL
Japan's 2nd Academic Competition (March 2012)
BCL Technologies' XBRL tool, SmartXBRL, was selected as the winner at the 2nd Academic Competition (2012) organized by XBRL Japan Educational Working Group, XBRL Japan. The competition celebrates the invaluable contribution of researchers, students, software developers, and anyone who is interested in XBRL development, by providing implementations of software tools for XBRL documents, definitions of taxonomies, and other useful and effective applications of XBRL. http://www.xbrl.or.jp/