We would like to kindly ask you to consider submitting your work to the 6th Workshop on Semantic Deep Learning (SemDeep-6) or praticipate in the co-located word sense disambiguation challenge (WiC-TSV), both co-located with IJCAI-PRICAI 2020.
Please accept our apologies if you receive this information more than once and feel free to forward this call to potentially interested parties/channels.
Kind regards, Dagmar, Luis, Thierry
CALL FOR PAPERS FOR THE 6TH WORKSHOP ON SEMANTIC DEEP LEARNING AND THE WiC-TSV CHALLENGE SemDeep-6 at IJCAI-PRICAI 2020
Yokohama, Japan from July 11-17, 2020
===================================================== SemDeep submission deadline: 24 April 2020 WiC-TSV Challenge end of evaluation: 1 May 2020 =====================================================
The 6th Workshop on Semantic Deep Learning (SemDeep-6) <http://www.dfki.de/~declerck/semdeep-6/> and the WiC-TSV challenge <https://competitions.codalab.org/competitions/23683> will be collocated with IJCAI-PRICAI <https://ijcai20.org/> in Yokohama, Japan, this year.
Semantic Web (SW) technologies and Deep Learning (DL) share the goal of creating intelligent artifacts. Both disciplines have had a remarkable impact in data and knowledge analysis, as well as knowledge representation, and in fact constitute two complementary directions for modeling linguistic phenomena and solving semantically complex problems. In this context, and following the main foundations set in past editions, SemDeep-6 aims to bring together SW and DL research as well as industrial communities.
SemDeep-6 is interested in contributions of DL to classic problems in semantic applications, such as: (semi-automated) ontology learning, ontology alignment, ontology annotation, duplicate recognition, ontology prediction, knowledge base completion, relation extraction, and semantically grounded inference, among many others. At the same time, we invite contributions that analyse the interaction of SW technologies and resources with DL architectures, such as knowledge-based embeddings, lexical entailment, relation classification or knowledge base completion. This year we are particularly interested in how this combination can contribute to the bigger field of Explainable AI. This workshop seeks to provide an invigorating environment where semantically challenging problems which appeal to both Semantic Web and Deep Learning communities are addressed and discussed.
KEYNOTE SPEAKER We are happy to announce that Michael Spranger, a researcher at Sony Computer Science Laboratories Inc. in Tokyo, Japan, who has been actively contributing to neural-symbolic learning and reasoning, has agreed to give a keynote at SemDeep-6.
TOPICS OF INTEREST Topics of interest for scientific presentations and system demonstrations for this sixth full-day workshop on Semantic Deep Learning include but are not limited to: Explainable Artificial Intelligence (XAI) joint Semantic Web and Deep Learning approaches to foster XAI Structured knowledge in deep learning neural networks and logic rules for semantic compositionality learning and applying knowledge graph embeddings learning semantic similarity and encoding distances as knowledge graph ontology-based text classification multilingual resources for neural representations of linguistics Reasoning and inferences and deep learning commonsense reasoning and vector space models reasoning with deep learning methods Learning knowledge representations with deep learning deep learning methods for knowledge-base completion deep ontology learning deep learning models for learning knowledge representations from text deep learning ontological annotations Application-specific combinations: Deep Learning, Semantic Web, and natural language Deep Learning, Semantic Web, and computer vision Deep Learning, Semantic Web, and domain-specific applications
IMPORTANT DATES 24 April 2020: Submission deadline 1 June 2020: Notification of acceptance 12 June 2020: Camera-ready version 11-13 July 2020 (to be specified): SemDeep-6 co-located with IJCAI-PRICAI
SUBMISSION INSTRUCTIONS We invite four types of submissions: long papers of empirically validated ideas and solutions (max. 6 pages) short papers presenting innovative not fully empirically validated ideas or position papers or accompany a system demonstration (max. 4 pages) short system description papers for the WiC-TSV challenge (max. 4 pages) Please submit via EasyChair (https://easychair.org/conferences/?conf=semdeep6 <https://easychair.org/conferences/?conf=semdeep6>) following the provided style guide. Proceedings of SemDeep-6 will be published as ACL Anthology.
For more information on the SemDeep-6 workshop, please visit http://www.dfki.de/~declerck/semdeep-6/ <http://www.dfki.de/~declerck/semdeep-6/>.
ORGANIZING COMMITTEE Luis Espinosa Anke, Cardiff University, UK Thierry Declerck, DFKI GmbH, Germany Dagmar Gromann, University of Vienna, Austria
WiC-TSV CHALLENGE Word Sense Disambiguation (WSD) is a long-standing task in Natural Language Processing and Artificial Intelligence. While progress has been made in recent years, the evaluation of WSD models has been limited to a set of (mostly SemEval-based) standard datasets.
The SemDeep-6 workshop includes a challenge (shared task) based on a new multi-domain evaluation benchmark for WSD “Target Sense Verification for Words in Context” (WiC-TSV).
The main difference between WiC-TSV and common WSD task statement is that in WiC-TSV there is no standard sense inventory that systems need to model in full. Each instance in the dataset is associated with a target word and single sense, and therefore systems are not required to model all senses of the target word, but rather only a single sense. The task is to decide if the target word is used in the target sense or not, a binary classification task. Therefore, the task statement of WiC-TSV resembles the usage of automatic tagging in enterprise settings.
For the WiC-TSV challenge training, development and test sets will be provided (training and development sets already available). For more information and instructions on how to participate, please visit https://competitions.codalab.org/competitions/23683 <https://competitions.codalab.org/competitions/23683>.
IMPORTANT DATES 10 April 2020: Test data release. Evaluation start 1 May 2020: Evaluation end 15 May 2020: System description paper deadline 1 June 2020: Author notifications with reviews 12 June 2020: Camera-ready submissions deadline 11-13 July 2020 (to be specified): SemDeep-6 co-located with IJCAI-PRICAI
ORGANIZING COMMITTEE Anna Breit, Semantic Web Company, Vienna, Austria Jose Camacho-Collados, Cardiff University, UK Artem Revenko, Semantic Web Company, Vienna, Austria Mohammad Taher Pilehvar, Iran University of Science and Technology, Iran
-------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 28229 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20200310/0757cdef/attachment.txt>