Fwd: Call for papers: Special Issue on Language Technology and Knowledge Graphs - Wikidata

24 Jul 2019

      Possibly of interest to those of you working on lexemes?
-- 
Andy Mabbett
@pigsonthewing
http://pigsonthewing.org.uk

---------- Forwarded message ---------
From: Marieke van Erp marieke.van.erp@dh.huc.knaw.nl
Date: Tue, 23 Jul 2019 17:38
Subject: Call for papers: Special Issue on Language Technology and
Knowledge Graphs
To: semantic-web@w3.org semantic-web@w3.org

Special Issue on Language Technology and Knowledge Graphs

Submission deadline: 30 September 2019

Call for Papers

Language understanding and knowledge engineering are among the most active
research and development areas due to the proliferation of big data. This
special issue on Language Technology and Knowledge Graphs is devoted to
gather and present innovative research, systems and applications that
address the challenges in the broad areas of language and knowledge
intelligence, presenting a platform for researchers to share their recent
observations and achievements in the field. Special topics for this special
issue include but are not limited to:

1. Textual Entailment and Knowledge
  * Textual entailment
  * Fact checking
  * Fake news detection
  * Argumentation mining

2. Knowledge-Guided NLP
  * Question answering and reading comprehension
  * Dialogue systems
  * Information Retrieval
  * Multilinguality
  * Recommender systems
  * Machine Translation
  * Knowledge-Guided Deep Learning
  * Complex knowledge-driven Information Extraction tasks e.g., relation
extraction, event extraction
  * Methods and metrics for evaluation of semantic annotations with respect
to ontologies
  * Knowledge-driven entity disambiguation and resolution

3. Contextual Knowledge Graphs and Language Technology
  * Extracting and modelling temporally bounded information
  * Dealing with culturally-aware information
  * Handling domain specificity of information

4. Information Extraction for Knowledge Graphs
  * Extraction from unstructured versus semi-structured textual sources
(e.g. tables)
  * Dealing with the imperfections of Information Extraction techniques in
the Semantic Web setting and their impact
  * Multi-source or multilingual Information Extraction for ontology
population
  * Information extraction subtasks (e.g., terminology extraction, relation
extraction, coreference resolution) for the Semantic Web
  * Methods and metrics for evaluation of Information Extraction for the
Semantic Web

5. Applications and Architectures
  * Knowledge-based Information Extraction for specific domains and
applications, e.g. business analytics, healthcare and biomedicine, cultural
heritage etc.
  * Information Extraction for social media mining
  * Scalability of tools and resources
  * Platforms and architectures for automatic and semi-automatic semantic
annotation
  * Tools and methodologies for building and managing complex processing
workflows

Types of papers

Research papers describing well-identified scientific contributions which
are thoroughly evaluated. Those papers are typically 15-20 pages long.
System and Resource papers that focus on the description of systems or
resources relevant to this special issue where the authors fully detail the
design, construction, implementation and usage as well as demonstrate its
usefulness. Those papers are expected to be 8-10 pages long. Please select
VSI: LT&KGs in the submission system.

More information and submission:
https://www.journals.elsevier.com/journal-of-web-semantics/call-for-papers/l...

For questions contact: marieke.van.erp@dh.huc.knaw.nl

Important Dates
  * Submission deadline: 30 September 2019
  * Author notification: 17 November 2019
  * Publication: Q1 2020

Guest Editors
  * Marieke van Erp, KNAW Humanities Cluster, DHLab, the Netherlands
  * Jeff Z. Pan, University of Aberdeen, UK
  * Zhiyuan Liu, Tsinghua University, China

--
Digital Humanities Lab / dhlab.nl
KNAW Humanities Cluster / huc.knaw.nl

http://www.mariekevanerp.com