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Company Information:

Company Name: Janya Inc.
City: Amherst
State: NY
Zip+4: -
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phone: (716) 565-0401

Award Totals:

Program/Phase Award Amount ($) Number of Awards
SBIR Phase I $1,017,438.00 10
SBIR Phase II $6,072,647.00 8

Award List:

Fusion of Entity Information from Textual Data Sources (e.g. HUMINT)

Award Year / Program / Phase: 2006 / SBIR / Phase II
Agency / Branch: DOD / USAF
Principal Investigator: Rohini K. Srihari, CEO
Award Amount: $743,017.00
Abstract:
The goal of this project is to push the boundaries of both research and development in entity fusion technologies through the creation of a robust, configurable, high-accuracy system for entity profile creation. The system will incorporate solutions that (1) lead to improved overall accuracy,… More

Enabling Visualization of Event Information from Unstructured Text

Award Year / Program / Phase: 2006 / SBIR / Phase II
Agency / Branch: DOD / USAF
Principal Investigator: Rohini K. Srihari, CEO
Award Amount: $744,061.00
Abstract:
The value in the ability to visualize information about events extracted from unstructured text rests on high-precision, high-recall event extraction technology. Event extraction must provide information about properties of the events themselves (times, locations, and participants) as well as… More

Adapting Information Extraction Technology to Computer-Mediated, Dynamic Text Data

Award Year / Program / Phase: 2006 / SBIR / Phase I
Agency / Branch: DOD / USAF
Principal Investigator: Cassandre Creswell, Research Scientist
Award Amount: $99,967.00
Abstract:
Applications for synchronous computer-mediated communication, i.e. chat, like instant messaging and chatroom channels, are playing an ever-increasing role in military operations. Information extraction (IE) from chat could provide great value to dynamic targeting and other processes that depend on… More

Advanced Time-Stamping of Events from Unstructured Text for Battlespace Awareness

Award Year / Program / Phase: 2007 / SBIR / Phase I
Agency / Branch: DOD / USAF
Principal Investigator: Thomas L. Cornell, Manager, NLP Group
Award Amount: $99,948.00
Abstract:
Current state-of-the-art in text extraction technology can associate a time with an event only if a time mention occurs in the same sentence as the event mention, or in an adjacent sentence with an overt temporal connective. This is a serious drawback because many events in unstructued text,… More

Customizable Text Extraction for Warfighters

Award Year / Program / Phase: 2007 / SBIR / Phase I
Agency / Branch: DOD / USAF
Principal Investigator: John Chen, Sr. Research Scientist
Award Amount: $99,985.00
Abstract:
Current state of the art information extraction (IE) systems are able to automatically extract specific types of information object such as entities, relationships, and events, that are known to be relevant to a particular domain. In order for these systems to achieve state of the art accuracies,… More

Adapting Information Extraction Technology to Computer-Mediated, Dynamic Text Data

Award Year / Program / Phase: 2007 / SBIR / Phase II
Agency / Branch: DOD / USAF
Principal Investigator: Thomas L. Cornell, Manager, NLP Group
Award Amount: $743,006.00
Abstract:
The goal of this project is to develop an information extraction (IE) application that can process military chat data. This application will be developed as a version of Janya's existing IE engine, Semantex, with a new chat-specific architecture. This architecture will allow automated monitoring… More

Consolidating Entity Information from Heterogeneous Text Sources for Multi-INT Fusion

Award Year / Program / Phase: 2008 / SBIR / Phase I
Agency / Branch: DOD / USAF
Principal Investigator: Thomas L. Cornell, Manager, NLP Group
Award Amount: $99,518.00
Abstract:
In this project we propose to develop technology for computing the similarity between two Entity Profiles compiled from text sources by an Information Extraction (IE) engine. The similarity computation is based on contextual information from the text and also on the full range of IE results (entity… More

Advanced Time-Stamping of Events from Unstructured Text for Battlespace Awareness

Award Year / Program / Phase: 2008 / SBIR / Phase II
Agency / Branch: DOD / USAF
Principal Investigator: Thomas L. Cornell, Manager, NLP Group
Award Amount: $749,974.00
Abstract:
Relatively few event mentions in texts can be anchored to a precise time. The time-stamp of an event is thus an unknown, subject to constraints that we can extract from the text. These constraints can form a basis for inference over events and times mentioned in a document. We propose to develop… More

Customizable Text Extraction for Warfighters

Award Year / Program / Phase: 2008 / SBIR / Phase II
Agency / Branch: DOD / USAF
Principal Investigator: John Chen, Sr. Research Scientist
Award Amount: $749,955.00
Abstract:
Although information extraction (IE) systems are attractive because they automatically extract items of interest from free text such as entities, relationships, and events, development of accurate IE systems typically requires a great amount of labor by human experts. Semi-supervised approaches… More

Consolidating Entity Information from Heterogeneous Text Sources for Multi-INT Fusion

Award Year / Program / Phase: 2009 / SBIR / Phase II
Agency / Branch: DOD / USAF
Principal Investigator: John Chen, Sr. Reserach Scientist
Award Amount: $847,937.00
Abstract:
In this project we propose to develop an end-to-end high performance system for cross document entity consolidation. The problems tackled are person name disambiguation, personal alias detection as well as location name disambiguation. Performance on alias detection is proposed to be enhanced by… More

Approaches and Techniques for Specialized Characte

Award Year / Program / Phase: 2009 / SBIR / Phase I
Agency / Branch: DOD / ARMY
Principal Investigator: John Chen, Sr Research Scientist
Award Amount: $69,961.00
Abstract:
The ability to rapidly spot named entities (NEs) such as persons, organizations, and locations in Arabic document image data is of strategic and tactical importance. An NE extraction system that performs this task faces numerous challenges. These include dealing with images representing both… More

Exploiting Essential Elements of Information from Significant Activity Reports (SIGACTS) for Forensic Analysis

Award Year / Program / Phase: 2009 / SBIR / Phase I
Agency / Branch: DOD / USAF
Principal Investigator: Thomas L. Cornell, Principal Investigator
Award Amount: $99,975.00
Abstract:
The goal of this research is to provide automated information extraction services, in particular relationship extraction, for forensic analysis. Specifically, we propose to develop and pursue an ontology-driven approach to information extraction, in which a formal ontology capturing concepts of… More

Exploiting Essential Elements of Information from Significant Activity Reports (SIGACTS) for Forensic Analysis

Award Year / Program / Phase: 2010 / SBIR / Phase II
Agency: DOD
Principal Investigator: Thomas L. Cornell, Manager, NLP Group – (716) 565-0401
Award Amount: $748,228.00
Abstract:
The goal of this research is to provide automated information extraction services, in particular event and relationship extraction for forensic analysis. Specifically, we propose to develop and pursue an ontology-driven approach to information extraction. We will use a formal ontology capturing… More

Handheld Apps for Warfighters

Award Year / Program / Phase: 2011 / SBIR / Phase I
Agency: DOD
Principal Investigator: John Chen, Sr. Research Scientist – (716) 565-0401
Award Amount: $98,999.00
Abstract:
Timely gathering and sharing of intelligence information is vital to the efficient execution of military missions. Much of the information collected in the field is impossible to exploit quickly because it is in hardcopy form, and handwritten. A mobile application that is capable of capturing… More

Enhance Situational Awareness by Capturing Knowledge from Chat

Award Year / Program / Phase: 2011 / SBIR / Phase I
Agency: DOD
Principal Investigator: Thomas L. Cornell, Manager, NLP Group – (716) 565-0401
Award Amount: $99,173.00
Abstract:
ABSTRACT: Computer-mediated synchronous communication (chat) is becoming an increasingly important tool for gaining and maintaining situation awareness in military operations. Our primary goal in this project is to investigate the ways in which text extraction technology can help in the kind of C2… More

Extracting Location-stamped Events from Textual Data for Persistent Situational Awareness

Award Year / Program / Phase: 2011 / SBIR / Phase I
Agency: DOD
Principal Investigator: John Chen, Sr. Research Scientist – (716) 565-0401
Award Amount: $99,991.00
Abstract:
ABSTRACT: Automated extraction of event location information enables intelligence analysts to rapidly visualize information contained in large volumes of unstructured textual data. Although natural language text analysis software already has the ability to extract locations to some degree,… More

Enabling visualization of events from unstructured text (HUMINT) on maps

Award Year / Program / Phase: 2012 / SBIR / Phase I
Agency: DOD
Principal Investigator: John Chen, Sr. Reserach Scientist – (716) 242-8417
Award Amount: $149,921.00
Abstract:
ABSTRACT: Rapid visualization of events existing in unstructured data requires a system with the ability to accurately detect events and their arguments in such data. Currently, many systems that perform this task do so by relying on only sentential context. Those systems that do rely on… More

Extracting Location-stamped Events from Textual Data for Persistent Situational Awareness

Award Year / Program / Phase: 2012 / SBIR / Phase II
Agency: DOD
Principal Investigator: John Chen, Manager, Research Group – (716) 242-8417
Award Amount: $746,469.00
Abstract:
ABSTRACT: Large volumes of unstructured data are generated daily, which cause information overload for analysts who must sift through the data. A system that is able to automatically plot all of the events occurring in that data on a map would be of great value to these analysts. The proposed… More