trec-kba.org

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

TREC Knowledge Base Acceleration. Google Freebase Annotation of KBA StreamCorpus. 2014 Evaluation (three tasks):. 2) Streaming Slot Filling. 3) Accelerate and Create. Given a rich dossier. On a subject,. Filter a stream of documents to. Accelerate users filling in knowledge gaps. KBA ran as an evalution in TREC. For three years: 2012, 2013, and 2014. In 2015, it will be succeeded by TREC Dynamic Domain. See TREC KBA overview slides, papers, and truth data here. KBA 2013 had more tasks and more entities.

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Knowledge Base Acceleration (KBA) -- a track in NIST's TREC 2012 | trec-kba.org Reviews

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TREC Knowledge Base Acceleration. Google Freebase Annotation of KBA StreamCorpus. 2014 Evaluation (three tasks):. 2) Streaming Slot Filling. 3) Accelerate and Create. Given a rich dossier. On a subject,. Filter a stream of documents to. Accelerate users filling in knowledge gaps. KBA ran as an evalution in TREC. For three years: 2012, 2013, and 2014. In 2015, it will be succeeded by TREC Dynamic Domain. See TREC KBA overview slides, papers, and truth data here. KBA 2013 had more tasks and more entities.

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2 truth data

3 1 vital filtering

4 technical details

5 stream corpus

6 background

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8 supporters

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Knowledge Base Acceleration (KBA) -- a track in NIST's TREC 2012 | trec-kba.org Reviews

https://trec-kba.org

TREC Knowledge Base Acceleration. Google Freebase Annotation of KBA StreamCorpus. 2014 Evaluation (three tasks):. 2) Streaming Slot Filling. 3) Accelerate and Create. Given a rich dossier. On a subject,. Filter a stream of documents to. Accelerate users filling in knowledge gaps. KBA ran as an evalution in TREC. For three years: 2012, 2013, and 2014. In 2015, it will be succeeded by TREC Dynamic Domain. See TREC KBA overview slides, papers, and truth data here. KBA 2013 had more tasks and more entities.

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trec-kba.org

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

http://trec-kba.org/trec-kba-2014/accelerate-and-create.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: Accelerate and Create. 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. Must address KBA's fundamental question (above).

2

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

http://trec-kba.org/trec-kba-2014/vital-filtering.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: Vital Filtering. 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. The run submission format. The no future info rule is ...

3

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

http://trec-kba.org/trec-kba-2014/streaming-slot-filling.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: Streaming Slot Filling. 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. SSF runs use the same run submission format.

4

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...

5

Google Freebase Entity Annotations of the TREC Knowledge Base Acceleration Stream Corpus 2014 (FAKBA1)

http://trec-kba.org/data/fakba1/index.shtml

Knowledge Base Acceleration (KBA) - a track in NIST's TREC 2012. TREC Knowledge Base Acceleration. Google Freebase Annotation of KBA StreamCorpus. 2014 Evaluation (three tasks):. 2) Streaming Slot Filling. 3) Accelerate and Create. Google Freebase Annotations of TREC KBA 2014 Stream Corpus, v1 (FAKBA1). For any questions, join this discussion forum: https:/ groups.google.com/group/streamcorpus. TREC KBA 2014 CCR entity query annotations. The entity annotations are for the TREC KBA Stream Corpus 2014.

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krisztianbalog.com

temporal IR | Krisztian Balog

http://krisztianbalog.com/tag/temporal-ir

From Answering Engines to Task-completion Engines. Evaluating document filtering systems over time. June 12, 2015. July 15, 2015. Performance of three systems over time. Systems A and B degrade, while System C improves over time, but they all have the same average performance over the entire period. We express the change in system performance using the derivative of the fitted line (in orange) and compare performance at what we call the estimated end-point (the large orange dots). ICTIR 2016 paper online.

krisztianbalog.com

Evaluating document filtering systems over time | Krisztian Balog

http://krisztianbalog.com/2015-06-12/evaluating-document-filtering-systems-over-time

From Answering Engines to Task-completion Engines. Evaluating document filtering systems over time. June 12, 2015. July 15, 2015. Performance of three systems over time. Systems A and B degrade, while System C improves over time, but they all have the same average performance over the entire period. We express the change in system performance using the derivative of the fitted line (in orange) and compare performance at what we call the estimated end-point (the large orange dots). ICTIR 2016 paper online.

krisztianbalog.com

TREC KBA | Krisztian Balog

http://krisztianbalog.com/tag/trec-kba

From Answering Engines to Task-completion Engines. Evaluating document filtering systems over time. June 12, 2015. July 15, 2015. Performance of three systems over time. Systems A and B degrade, while System C improves over time, but they all have the same average performance over the entire period. We express the change in system performance using the derivative of the fitted line (in orange) and compare performance at what we call the estimated end-point (the large orange dots). ICTIR 2016 paper online.

krisztianbalog.com

Publications | Krisztian Balog

http://krisztianbalog.com/category/publications

From Answering Engines to Task-completion Engines. ICTIR 2016 paper online. July 21, 2016. 8220;Exploiting Entity Linking in Queries for Entity Retrieval,” an upcoming ICTIR 2016 paper by Faegheh Hasibi, Svein Erik Bratsberg, and myself is available. Online now, with resources coming soon. March 22, 2016. Last Sunday, Anne Schuth. And I gave a tutorial on Living Labs for Online Evaluation. The tutorial’s homepage. Contains all the slides and reference material. Today, Faegheh Hashibi. September 2, 2015.

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...

krisztianbalog.com

evaluation | Krisztian Balog

http://krisztianbalog.com/tag/evaluation

From Answering Engines to Task-completion Engines. Evaluating document filtering systems over time. June 12, 2015. July 15, 2015. Performance of three systems over time. Systems A and B degrade, while System C improves over time, but they all have the same average performance over the entire period. We express the change in system performance using the derivative of the fitted line (in orange) and compare performance at what we call the estimated end-point (the large orange dots). ICTIR 2016 paper online.

streamcorpus.org

1. Overview of StreamCorpus software components — streamcorpus-pipeline 0.7.10.dev1 documentation

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

Streamcorpus-pipeline 0.7.10.dev1 documentation. 1 Overview of StreamCorpus software components. 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. Embedded in StreamItem&#46...

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

TREC Knowledge Base Acceleration. Google Freebase Annotation of KBA StreamCorpus. 2014 Evaluation (three tasks):. 2) Streaming Slot Filling. 3) Accelerate and Create. Given a rich dossier. On a subject,. Filter a stream of documents to. Accelerate users filling in knowledge gaps. KBA ran as an evalution in TREC. For three years: 2012, 2013, and 2014. In 2015, it will be succeeded by TREC Dynamic Domain. See TREC KBA overview slides, papers, and truth data here. KBA 2013 had more tasks and more entities.

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