streamcorpus.org

Welcome to StreamCorpus — streamcorpus-pipeline 0.7.10.dev1 documentation

Streamcorpus-pipeline 0.7.10.dev1 documentation. StreamCorpus provides a toolkit for processing massive streams of text and running natural language extractors on the text. StreamCorpus does not provide any extractors itself; it operates third-party extractors, such as Serif and Factorie, and unifies their output. StreamCorpus pipline can store documents in S3, Accumulo, or flat files. StreamCorpus is used extensively in TREC KBA. Ask more at StreamCorpus Google Group. 75 Priority queue system.

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Welcome to StreamCorpus — streamcorpus-pipeline 0.7.10.dev1 documentation | streamcorpus.org Reviews

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Streamcorpus-pipeline 0.7.10.dev1 documentation. StreamCorpus provides a toolkit for processing massive streams of text and running natural language extractors on the text. StreamCorpus does not provide any extractors itself; it operates third-party extractors, such as Serif and Factorie, and unifies their output. StreamCorpus pipline can store documents in S3, Accumulo, or flat files. StreamCorpus is used extensively in TREC KBA. Ask more at StreamCorpus Google Group. 75 Priority queue system.

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Welcome to StreamCorpus — streamcorpus-pipeline 0.7.10.dev1 documentation | streamcorpus.org Reviews

https://streamcorpus.org

Streamcorpus-pipeline 0.7.10.dev1 documentation. StreamCorpus provides a toolkit for processing massive streams of text and running natural language extractors on the text. StreamCorpus does not provide any extractors itself; it operates third-party extractors, such as Serif and Factorie, and unifies their output. StreamCorpus pipline can store documents in S3, Accumulo, or flat files. StreamCorpus is used extensively in TREC KBA. Ask more at StreamCorpus Google Group. 75 Priority queue system.

INTERNAL PAGES

streamcorpus.org

1

7. rejester — Redis-based distributed work manager — streamcorpus-pipeline 0.7.10.dev1 documentation

http://streamcorpus.org/sphinx-docs/rejester.html

Streamcorpus-pipeline 0.7.10.dev1 documentation. 8212; Redis-based distributed work manager. Redis-based distributed work manager. Rejester is a distributed work manager, using the Redis. In-memory database as shared state. In typical use, some number of systems run rejester. To use a rejester-based application:. Create a YAML configuration file as described below. Once on any system to enable rejester. Server. Each will start as many workers as the system has CPU cores. Set up a configuration file conta...

2

Python Module Index — streamcorpus-pipeline 0.7.10.dev1 documentation

http://streamcorpus.org/py-modindex.html

Streamcorpus-pipeline 0.7.10.dev1 documentation. Rejester.run multi worker. Streamcorpus pipeline. directory. Streamcorpus pipeline. pipeline. Streamcorpus pipeline. rejester. Enter search terms or a module, class or function name. Streamcorpus-pipeline 0.7.10.dev1 documentation.

3

Index — streamcorpus-pipeline 0.7.10.dev1 documentation

http://streamcorpus.org/genindex.html

Streamcorpus-pipeline 0.7.10.dev1 documentation. Rejester command line option. Dblogger command line option. Config file.yaml , -c file.yaml. Yakonfig command line option. Dblogger command line option. Streamcorpus directory command line option. Dump-config {default effective full}. Yakonfig command line option. Dblogger command line option. Streamcorpus directory command line option. Streamcorpus directory command line option. Streamcorpus pipeline command line option. Input file.sc , -i file.sc. Add it...

4

5. dblogger — Python logging setup and database backend — streamcorpus-pipeline 0.7.10.dev1 documentation

http://streamcorpus.org/sphinx-docs/dblogger.html

Streamcorpus-pipeline 0.7.10.dev1 documentation. 8212; Python logging setup and database backend. Python logging setup and database backend. 8212; Python logging setup and database backend. 8212; global configuration management tools. 8212; database abstraction for key/value stores. Enter search terms or a module, class or function name. Streamcorpus-pipeline 0.7.10.dev1 documentation.

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6. kvlayer — database abstraction for key/value stores — streamcorpus-pipeline 0.7.10.dev1 documentation

http://streamcorpus.org/sphinx-docs/kvlayer.html

Streamcorpus-pipeline 0.7.10.dev1 documentation. 8212; database abstraction for key/value stores. Database abstraction for key/value stores. This module provides a simple abstraction around these key/value-oriented databases. It works with. To hold basic configuration settings, so the top-level YAML configuration must have a. Block This will typically look something like. These four parameters are always required. Gives one of the database backends described below. Module. This does not require. Host:por...

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diffeo.com

About | Diffeo

https://www.diffeo.com/about.html

WE IMPROVE HOW PEOPLE DIGEST COMPLEX INFORMATION. Diffeo is a knowledge discovery company that helps people organize the world's information by mining unbounded streams. Of Big Data and Big Text using entity coreference resolution. To enable entity-centric search. Of the Web and private content. Diffeo grew out of TREC KBA. Which we organized for NIST, and DARPA Memex. Open source tools and and. For named entity recognition in seventeen languages. This extends recent research results. Keywords alone lack...

trec-kba.org

Knowledge Base Acceleration (KBA) -- a track in NIST's TREC 2012

http://trec-kba.org/trec-kba-2014/index.shtml

TREC Knowledge Base Acceleration. Google Freebase Annotation of KBA StreamCorpus. 2014 Evaluation (three tasks):. 2) Streaming Slot Filling. 3) Accelerate and Create. TREC KBA 2014: Overview. Knowledge Base Acceleration (KBA) is an open evaluation in NIST's Text Retrieval Conference (TREC). KBA addresses this fundamental question:. Given a rich dossier. On a subject,. Filter a stream of documents to. Accelerate users filling in knowledge gaps. KBA 2014 is completed! See papers and data! Identify short ph...

trec-kba.org

Knowledge Base Acceleration (KBA) -- a track in NIST's TREC 2012

http://trec-kba.org/kba-stream-corpus-2014.shtml

TREC Knowledge Base Acceleration. Google Freebase Annotation of KBA StreamCorpus. 2014 Evaluation (three tasks):. 2) Streaming Slot Filling. 3) Accelerate and Create. KBA Stream Corpus 2014. The KBA Stream Corpus 2014. Was released in the third week of May 2014. For full details on KBA StreamCorpus, see the home page in s3: http:/ s3.amazonaws.com/aws-publicdatasets/trec/kba/index.html. The TREC KBA Stream Corpus has three improvements over the kba-stream-corpus-2013. After serializing the data with thri...

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Welcome to StreamCorpus — streamcorpus-pipeline 0.7.10.dev1 documentation

Streamcorpus-pipeline 0.7.10.dev1 documentation. StreamCorpus provides a toolkit for processing massive streams of text and running natural language extractors on the text. StreamCorpus does not provide any extractors itself; it operates third-party extractors, such as Serif and Factorie, and unifies their output. StreamCorpus pipline can store documents in S3, Accumulo, or flat files. StreamCorpus is used extensively in TREC KBA. Ask more at StreamCorpus Google Group. 75 Priority queue system.

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