[CFP] Extended Deadline: Second International Workshop on KNOWLEDGE GRAPH GENERATION FROM TEXT (TEXT2KG 2023)

Rima T. <rimaturker@gmail.com>
1:13 PM (7 minutes ago)
to sigir, sigai-announce, ml-news, sigir, aixia, semantic-web

*Call for Papers  *

TEXT2KG Workshop at ESWC
Workshop: May 29th, 2023 - Hersonissos, Greece
https://aiisc.ai/text2kg2023/




*-----------------------------------------------------Important
Dates-----------------------------------------------------*
Paper submissions due: February 28th, 2023 March 15th, 2023 (Extended)
Final decision notification: March 28th, 2023
Camera-ready submissions due: April 11th, 2023
Workshop: May 29th, 2023



*Context*
*=======*
This workshop aims to bring together researchers from multiple focus areas
such as Natural Language Processing (NLP), Entity Linking (EL), Relation
Extraction (RE), Knowledge Representation and Reasoning (KRR), Deep
Learning (DL), Knowledge Base Construction (KBC), Semantic Web, Linked
Data, and other related fields to foster a discussion and enhance the state
of-the-art in knowledge graph generation from text. The participants will
find opportunities to present and hear about other emerging research and
applications, to exchange ideas and experiences, and to identify new
opportunities for collaborations across disciplines. We plan to involve the
many prominent research groups in the Semantic Web community which in the
last years focused on the generation of knowledge graphs from textual
sources in different fields, such as research data (ORKG,
AI-KG, Nanopublications), question answering (ParaQA, NSQA), common sense
(CSKG), automotive (CoSI,
ASKG), biomedical (Hetionet), and many others. This year, we are also
organizing the First International Biochemical Knowledge Extraction
Challenge
in TEXT2KG Workshop.

*TEXT2KG THEMES & TOPICS*

*=========================*We are interested in (including but not limited
to) the following themes and topics that study the generation of Knowledge
Graphs from text, based on quantitative, qualitative, and mixed
research methods.

∙ Approaches for generating Knowledge Graphs from text
∙ Ontologies for representing provenance/metadata of generated Knowledge
Graphs
∙ Benchmarks for KG generation from text
∙ Evaluation methods for KGs generated from text
∙ Industrial applications involving KGs generation from text
∙ Entity and relation extraction
∙ Entity and relation linking
∙ Semantic Parsing
∙ Open Information Extraction
∙ Deep Learning and Generative approaches
∙ Human-in-the-loop methods

*Submission Instructions *We invite full research papers, negative results,
position papers, dataset and system demo papers. Submissions must be
original and should not have been published previously or be under
consideration for publication while being evaluated for this workshop.
Submissions will be evaluated by the program committee based on the quality
of the work and its fit to the workshop themes. All submissions are
double-blind and a high-resolution PDF of the paper should be uploaded to
the EasyChair submission site before the paper submission deadline. The
accepted papers will be presented at the Text2KG workshop integrated with
the conference, and they will be published as CEUR proceedings. All must be
submitted and formatted in the style of the CEUR proceedings format. For
details on CEUR style, see CEUR’s Author Instruction. Overleaf Template:
https://www.overleaf.com/latex/templates/template-for-submissions-to-ceurworkshop-proceedings-ce
ur-ws-dot-org/wqyfdgftmcfw

*Submission Link*: https://easychair.org/conferences/?conf=text2kg0
*Workshop Link*: https://aiisc.ai/text2kg2023/
*Contact Person*: Sanju Tiwari (tiwarisanju18@ieee.org)

*Organizing Chairs:*
Sanju Tiwari, UAT Mexico,
Nandana Mihindukulasooriya, MIT-IBM Watson AI Lab, USA
Francesco Osborne, KMi, The Open University Dimitris Kontokostas, Diffbot,
Greece Jennifer D’Souza, TIB, Germany,
Mayank Kejriwal, University of Southern California, USA,
Dimitris Kontokostas, Diffbot, Greece

*Publicity Chair:*
Joey Yip, University of South Carolina, USA

-- 
Regards
Dr. Sanju Tiwari (PhD, Post-Doc), SMIEEE
Sr. Researcher, Universidad Autonoma de Tamaulipas, Mexico
Visiting Researcher, InfAI, Leipzig University, Germany
DAAD Post-Doc-Net AI Fellow
General Chair *KGSWC-2022* (Third Indo-American Conference)
http://www.kgswc.org <http://www.kgswc.org/indo-american/>/
"Do what you love, Love what you do"