Rosette Search Essentials for Elasticsearch
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Rosette Search Essentials is a multilingual text analytics plugin that offers a wealth of powerful text analytics functionality, including tokenization, lemmatization, decompounding and POS tagging, along with entity extraction and entity resolution in Asian, European and Middle Eastern languages.
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Natural language processing (NLP) is advancing at breakneck speeds. This one-hour webinar will get you up to speed with the latest enhancements to the Rosette Text Analytics platform and overarching trends in NLP.
Chris Mack, VP of Text Analytics, covers how Rosette uses semantic signals to extract and link entities to open or proprietary knowledge bases. He also demonstrates a new tool for visualizing machine learning-powered cross-lingual fuzzy name matching.
Kfir Bar, Chief Scientist, discusses how active learning is enabling the next wave of human language technology, such as event and semantic relationship extraction.
The webinar consists of a 45-minute presentation and 15 minutes of Q&A. To watch the webinar in its entirety go to: https://basistech.wistia.com/medias/uje50rxucg
Gregor Stewart - OSIRA 2014
Basis Technology's OSINT is a web-based application that enables analysts to extract and resolve named entities, including people, places, and organizations, from large quantities of multilingual text. OSINT is deployable in the cloud or on premises, and can be customized to address different data sources, knowledge bases, and workflow models.
Basis Technology showcase at elasticsearch meetup in Japan
Rosette® 基本言語解析モジュール(Elasticsearch向け)
多言語テキスト解析プラグイン
Elasticsearch を使用して新しいアプリケーションを開発するにあたって、多言語コンテンツにおける形態素の複雑性を考慮していますか？ Basis Technology の Rosette はアジア、ヨーロッパ、および中東の言語の強力なテキスト解析機能 (トークン化、基本形化、複合語分解、品詞タグ付、さらに、固有表現抽出、固有表現関連付け) を提供します。
HLT 2013 - Big Data Navigation and Discovery by Stefan Andreasen & Jeff Godbold
Last year Basis Technology introduced Odyssey – an analytics solution, which provides an open, scalable platform for search, navigation and discovery. Its purpose is to streamline the development of highly customizable solutions for efficiently discovering relevant information from vast volumes of structured and unstructured content. Basis Technology has recently teamed with Kapow to incorporate their industry leading Big Data integration platform into the Odyssey solution to enhanced both the range of data now available to Odyssey as well as the ease of deployment. During this session, Stefan Andreasen (Kapow) and Jeff Godbold (Basis Technology) will provide an overview of this joint solution, highlighting the many benefits it offers to the world of multilingual, information discovery.
HLT 2013 - Triaging Foreign Language Documents for MEDEX by Brian Carrier
This document discusses triaging foreign language documents for digital forensics investigations. It presents two scenarios where examiners encounter non-English documents and need to prioritize them for limited translator resources. An ideal solution would provide English executive summaries of documents. The proposed solution uses named entity recognition to extract who, what, where information and identify people on watch lists. It also uses concept dictionaries to find discussed topics. This solution would be implemented as a module in the open source Autopsy digital forensics platform to help investigators navigate and tag priority documents.
OSS 2013 - Real World Facets with Entity Resolution by Benson Margulies
Solr’s ability to facet search results gives end-users a valuable way to drill down to what they want. But for unstructured documents, deriving facets such as the persons mentioned requires advanced analytics. Even if names can be extracted from documents, the user doesn’t want a “George Bush” facet that intermingles documents mentioning either the 41st and 43rd U.S. Presidents, nor does she want separate facets for “George W. Bush” or even “乔治·沃克·布什” (a Chinese translation) that are limited to just one string. We’ll explore the benefits and challenges of empowering Solr users with real-world facets.
HLT 2013 - Adapting News-Trained Entity Extraction to New Domains and Emergin...
Many of the most robust Human Language Technologies, including statistical part of speech taggers and entity extractors, are developed primarily using high quality newswire datasources. The performance of these technologies on texts in other genres, including short texts like tweets and even sub-genres of news like market summaries, is typically poor. Adapting such technologies to these increasingly important genres is still very difficult and an active area of commercial and academic research. In this presentation, Mr. Stewart will highlight the ways in which newswire trained modules typically fail on the most important emerging text genres, outline the most effective and lowest cost methods to adapt these resources that researchers and practitioners have discovered, and offer guidance on what degree of improvement users can expect to see in the short to medium term.
HLT 2013 - From Research to Reality: Advances in HLT by David Murgatroyd
There's never been a more exciting time to be involved in Human Language Technology (HLT). Advances in algorithms, architectures, and applications are making real differences in fulfilling missions around the world. We'll use the perspective of one specific, end-to-end use case starting from primary source collection going all the way through finished intelligence to show the value and importance of moving your HLT thinking from strings to things, from configuration to adaption, from isolation to collaboration, and from small scale to Big Text. This perspective will serve as a guide to the other talks of the day which together will give you greater insight in applying HLT to your mission.
Autopsy 3: Free Open Source End-to-End Windows-based Digital Forensics Platform
Autopsy™ is the premier free and open source end-to-end digital forensics platform built by Basis Technology and the digital forensics open source community. The platform has been in development since OSDF Con 2010, based on intense interest and collaboration from the digital forensics community, which determined the need for an open source end-to-end forensics platform that runs on Windows systems.
Autopsy version 3 is a complete rewrite from version 2 and is built to enable the creation of fast, thorough, and efficient hard drive investigation tools that can evolve with digital investigators’ needs. The standard installation includes features that rival commercial closed source offerings, without the associated costs.
FEATURES
Triage capability and real-time alerting
Automated workflow based on The Sleuth Kit™
Windows installation
Case management and report generation
Recent user activity extraction including: web history, recent documents, bookmarks, downloads, and registry analysis
Keyword and pattern search including: phone numbers, email addresses, URLs, and IP addresses
Hash lookup
Interesting files detection and timeline viewing
...and much more
For digital forensics investigators and analysts, there are numerous advantages to using open source software and software built on open source platforms like Autopsy and The Sleuth Kit:
• Transparent evidence extraction: Open source platforms allow you to look at the source code and to verify that the software is performing its functions in a forensically sound way. This can prove to be critical when testifying or preparing for litigation.
• Easily extensible: Open source platforms grow organically and as the needs of their consituents and users change, so does their functionality.
• Active community of users and developers: In addition to commercial support offered by Basis Technology,
there is a wealth of information that is available in a community that has evolved over the last 11 years where both users and developers are actively working to improve the software platform. This free knowledge base is an extremely powerful value add to your purchased enterprise support.
A Lightning Introduction To Clouds & HLT - Human Language Technology Conference
What’s all this cloud stuff, anyway? What kinds of problems do organizations set out to solve with ‘a cloud,’ or even ‘the cloud’? What are a few of the major government initiatives involving this technology? How does HLT in general, and Search in particular, fit?
This talk will take a tour of the technology behind clouds and the sometimes-foggy ambitions of the projects that use them, and look in particular detail at the challenges of applying cloud technologies to Text Analytics.
View more slides from the Human Language Technology Conference 2012 here: http://info.basistech.com/hlt-2012-slides
Autopsy 3.0 - Open Source Digital Forensics Conference
Autopsy 3.0 is a complete rewrite from Autopsy 2.0, and this talk will cover all of the things that are new about it. Multi-threaded ingest, triage, embedded databases, web artifact analysis, and indexed keyword search are just some of the new and exciting features.
This talk is targeted towards both users and developers. Users will learn about the tool, and how they can use it. Developers will learn the basics of where they can incorporate their tools into the Autopsy workflow as modules.
View more slides from the Open Source Digital Forensics Conference 2012 here: http://info.basistech.com/osdf-2012-slides
Big Data Triage with Rosette Human Language Technology Conference
This talk will discuss how Rosette — entity extraction, entity searching, document clustering, near duplicate detection, and fact-relationship-event extraction — can be combined with a powerful search engine to facilitate information discovery and thematic analysis across a variety of sources and languages.
The term “Big Data” has many possible meanings — large volume, fast-moving, many sources — but the issues it creates are clear. Analysts have significantly more data available, but the tools to exploit this data haven’t kept pace.
Many legacy approaches to analytic systems — databases and custom applications around them — are not flexible enough to pull in data from new sources at a moment’s notice, are not able to import and share the new data quickly enough to provide actionable intelligence, and cannot scale up to hold the massive amounts of data being produced.
But even if today’s systems could handle all of the available data — when presented with massive volumes of semi-structured, multilingual data from many sources, how effectively could an analyst discover the relevant data and efficiently move it into the analytical process?
View more slides from the Human Language Technology Conference 2012 here: http://info.basistech.com/hlt-2012-slides
Multilingual Search and Text Analytics with Solr - Open Source Search Conference
This talk will explore the challenges of Multilingual search, including language-specific issues — like N-gram segmentation vs. morphological analysis, stemming vs. lemmatization, and language identification — and the various approaches to configuring your Solr schema. We will also discuss the integration strategies for common text analytics capabilities and the impact of multilingual content on application design.
Solr is a powerful search engine which rapidly gained acceptance as an alternative to commercial search solutions for many applications. There are many features required by organizations to serve their diverse communities, among these is the ability to deliver search excellence in foreign languages. Delivering quality multilingual search involves careful design of schemas and selection of the best linguistic approach for each supported language.
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Understanding Names with Neural Networks - May 2020
Understanding Names with Neural Networks - May 2020
Basis Technology showcase at elasticsearch meetup in Japan
Basis Technology showcase at elasticsearch meetup in Japan
HLT 2013 - Big Data Navigation and Discovery by Stefan Andreasen & Jeff Godbold
HLT 2013 - Big Data Navigation and Discovery by Stefan Andreasen & Jeff Godbold
HLT 2013 - Triaging Foreign Language Documents for MEDEX by Brian Carrier
HLT 2013 - Triaging Foreign Language Documents for MEDEX by Brian Carrier
OSS 2013 - Real World Facets with Entity Resolution by Benson Margulies
OSS 2013 - Real World Facets with Entity Resolution by Benson Margulies
HLT 2013 - Adapting News-Trained Entity Extraction to New Domains and Emergin...
HLT 2013 - Adapting News-Trained Entity Extraction to New Domains and Emergin...
HLT 2013 - From Research to Reality: Advances in HLT by David Murgatroyd
HLT 2013 - From Research to Reality: Advances in HLT by David Murgatroyd
Autopsy 3: Free Open Source End-to-End Windows-based Digital Forensics Platform
Autopsy 3: Free Open Source End-to-End Windows-based Digital Forensics Platform
A Lightning Introduction To Clouds & HLT - Human Language Technology Conference
A Lightning Introduction To Clouds & HLT - Human Language Technology Conference
Autopsy 3.0 - Open Source Digital Forensics Conference
Autopsy 3.0 - Open Source Digital Forensics Conference
Big Data Triage with Rosette Human Language Technology Conference
Big Data Triage with Rosette Human Language Technology Conference
Multilingual Search and Text Analytics with Solr - Open Source Search Conference
Multilingual Search and Text Analytics with Solr - Open Source Search Conference
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The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
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