27.866, Calls: Computational Ling/Slovenia

Wed Feb 17 15:18:01 UTC 2016

LINGUIST List: Vol-27-866. Wed Feb 17 2016. ISSN: 1069 - 4875.

Subject: 27.866, Calls: Computational Ling/Slovenia

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Date: Wed, 17 Feb 2016 10:17:35
From: Richard Eckart de Castilho [eckart at ukp.informatik.tu-darmstadt.de]
Subject: Workshop on Cross-Platform Text Mining and NLP Interop

Full Title: Workshop on Cross-Platform Text Mining and NLP Interop 
Short Title: INTEROP2016 

Date: 23-May-2016 - 23-May-2016
Location: Portorož, Slovenia 
Contact Person: Richard Eckart de Castilho
Meeting Email: eckart at ukp.informatik.tu-darmstadt.de
Web Site: http://interop2016.github.io 

Linguistic Field(s): Computational Linguistics 

Call Deadline: 25-Feb-2016 

Meeting Description:

Recent years have witnessed an upsurge in the quantity of available digital
research data, offering new insights and opportunities for improved
understanding. Following advances in Natural Language Processing (NLP), Text
and data mining (TDM) is emerging as an invaluable tool for harnessing the
power of structured and unstructured content and data. Hidden and new
knowledge can be discovered by using TDM at multiple levels and in multiple
dimensions. However, text mining and NLP solutions are not easy to discover
and use, nor are they easy to combine for end users.

Multiple efforts are being undertaken world-wide to create TDM and NLP
platforms. These platforms are targeted at specific research communities,
typically researchers in a particular location, e.g. OpenMinTeD, CLARIN
(Europe), ALVEO (Australia), or LAPPS (USA). All of these platforms face
similar problems in the following areas: discovery of content and analytics
capabilities, integration of knowledge resources, legal and licensing aspects,
data representation, and analytics workflow specification and execution.

The goal of cross-platform interoperability raises many problems. At the level
of content, metadata, language resources, and text annotations, we use
different data representations and vocabularies. At the level of workflows,
there is no uniform process model that allows platforms to smoothly interact.
The licensing status of content, resources, analytics, and of the output
created by a combination of such licenses is difficult to determine and there
is currently no way to reliably exchange such information between platforms.
User identity management is often tightly coupled to the licensing
requirements and likewise an impediment for cross-platform interoperability.

Final Call for Papers:

February 25, 2016 *EXTENDED DEADLINE*

Recent years have witnessed an upsurge in the quantity of available digital
research data, offering new insights and opportunities for improved
understanding. Following advances in Natural Language Processing (NLP), Text
and data mining (TDM) is emerging as an invaluable tool for harnessing the
power of structured and unstructured content and data. Hidden and new
knowledge can be discovered by using TDM at multiple levels and in multiple
dimensions. However, text mining and NLP solutions are not easy to discover
and use, nor are they easy to combine for end users.

Multiple efforts are being undertaken world-wide to create TDM and NLP
platforms. These platforms are targeted at specific research communities,
typically researchers in a particular location, e.g. OpenMinTeD, CLARIN
(Europe), ALVEO (Australia), or LAPPS (USA). All of these platforms face
similar problems in the following areas: discovery of content and analytics
capabilities, integration of knowledge resources, legal and licensing aspects,
data representation, and analytics workflow specification and execution.

The goal of cross-platform interoperability raises many problems. At the level
of content, metadata, language resources, and text annotations, we use
different data representations and vocabularies. At the level of workflows,
there is no uniform process model that allows platforms to smoothly interact.
The licensing status of content, resources, analytics, and of the output
created by a combination of such licenses is difficult to determine and there
is currently no way to reliably exchange such information between platforms.
User identity management is often tightly coupled to the licensing
requirements and likewise an impediment for cross-platform interoperability.

Workshop topics include but are not limited to:

- cross-repository discovery of content, language resources, and analytics
- uniform access to content repositories or heterogeneous data sources
(content, knowledge)
- extraction of textual content from heterogeneous sources
- orchestration of analytics workflows composed from analytics from different
sources
- orchestration of cross-platform analytics workflows
- linking knowledge sources and uniformly accessing them from analytics
workflows
- annotation schema design best practices
- mapping and transformation between annotation schemata
- dynamic deployment of analytics to computing resources
- machine-interpretable representation of legal and licensing metadata
- policy making for TDM for an international open research environment and
open access publishing

The workshop is planned as an open-space event in which the workshop
participants host and participate in discussions related to the topics of
interest.

Accepted papers will be presented at the workshop in the form of a 5 minute
lightning talk and included in the workshop proceedings.

During the workshop, the author is expected to host or co-host a discussion
group. We plan to align the topics of the discussion groups with the topics of
the authors submissions. The hosts will take minutes which are to be
aggregated into a report after the workshop.

For more information, please see: http://interop2016.github.io

Important dates

- Submission: February 25, 2016 *EXTENDED DEADLINE*
- Notification: March 10, 2016
- Camera ready: March 25, 2016
- Workshop: 23 May 2016

LREC initiative: Identify, Describe and Share your LR! -- More information on
the LREC webpage

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