[apologies for potential cross-posting]

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Bridging Neurons and Symbols for Natural Language Processing and Knowledge Graphs Reasoning @ LREC-COLING 2024 ===================================== Co-located with LREC-COLING in Turin, Italy 21st May 2024

Workshop webpage:https://neusymbridge.github.io/

Call for Papers -------------------- The 1st Workshop on Bridging Neurons and Symbols for Natural Language Processing and Knowledge Graphs Reasoning — to be held at LREC-COLING 2024 — will promote two directions for exploring neural reasoning: starting from existing neural networks to enhance the reasoning performance with the target of symbolic-level reasoning, and starting from symbolic reasoning to explore its novel neural implementation. These two directions will ideally meet somewhere in the middle and will lead to representations that can act as a bridge for novel neural computing, which qualitatively differs from traditional neural networks, and for novel symbolic computing, which inherits the good features of neural computing. Hence the name of our workshop, with a focus on Natural Language Processing and Knowledge Graph reasoning.

Topics (include, but are not limited to) -------------------------------------------------- • Proposing novel knowledge representations that are derived from transdisciplinary research • Using knowledge graphs or other types of symbolic Knowledge to improve the quality of LLMs • Exploring the reasoning mechanism of LLMs • Distilling symbolic knowledge from LLMs • Proposing benchmark datasets and evaluation matrices for neuro-symbolic approaches to NLP tasks • Proposing novel NLP tasks for neuro-symbolic approaches • NLP applications in classification, sense-disambiguation, sentiment analysis, question-answering, knowledge graph reasoning • Critical analysis of traditional deep learning or LLMs • Analysing spatial reasoning of LLMs • Proposing novel neural computing that may reach symbolic-level reasoning • Proposing benchmark datasets and matrices to evaluate the gap between neural reasoning and symbolic reasoning • Addressing efficiency issues in neuro-symbolic systems • Identifying challenges and opportunities of neuro-symbolic systems • Developing retrieval augmented models for combining KG and LLMs • Applying neuro-symbolic approaches to humor generation and other real-life applications

Submissions: ------------------ • The papers should be submitted as a PDF document, conforming to the formatting guidelines provided in the call for papers of LREC-COLING conference (https://lrec-coling-2024.org/authors-kit/) • Submissions via Softconf/START Conference Manager athttps://softconf.com/lrec-coling2024/neusymbridge2024/

Important Dates --------------------- • Submission Deadline: Mar 3rd • Notification of Acceptance: April 10th • Camera Ready Deadline: Apr 21st • Workshop: May 21st

Keynotes -------------------------------- • Pascale Fung - The Hong Kong University of Science and Technology • Alessandro Lenci - Università di Pisa • Juanzi Li - Tsinghua University • Volker Tresp - Ludwig Maximilian University of Munich

Organisation Committee -------------------------------- • Tiansi Dong - Fraunhofer IAIS • Erhard Hinrichs - University of Tübingen • Zhen Han - Amazon Inc. • Kang Liu - Chinese Academy of Sciences • Yangqiu Song - The Hong Kong University of Science and Technology • Yixin Cao - Singapore Management University • Christian F. Hempelmann - Texas A&M-Commerce • Rafet Sifa - University of Bonn

Programme Committee -------------------------------

• Claire Bonial - U.S. Army DEVCOM Army Research Laboratory • Meiqi Chen - Peking University • Shuo Chen - Ludwig Maximilian University of Munich • Hejie Cui - Emory University • Xinyu Dai - Nanjing University • Zifeng Ding - Ludwig Maximilian University of Munich • Kathrin Erk - The University of Texas at Austin • Irlan G Gonzalez - Bosch Center for Artificial Intelligence • Shizhu He - Institute of Automation, Chinese Academy of Sciences • Bailan He - Ludwig Maximilian University of Munich • Jens U. Kreber - Saarland University • Sandra Kübler - Indiana University • Hang Li - Ludwig Maximilian University of Munich • Honglei Li - Northumbria University • Yong Liu - Plunk • Xinze Liu - Nanyang Technological University • Xin Liu - Amazon Inc. • Tong Liu - Ludwig Maximilian University of Munich • Yunfei Long - Essex University • Yubo Ma - Nanyang Technological University • Emanuele Marconato - University of Trento • Petra Osenova - University of Sofia • Parth Padalkar - University of Texas at Dallas • Martha Palmer - University of Colorado • Barbara Plank - Ludwig Maximilian University of Munich • Julia Rayz - Purdue University • Ryan Riegel - IBM Research • Timo Schick - Meta AI • Christoph Schommer - University of Luxembourg • Wangtao Sun - Institute of Automation, Chinese Academy of Sciences • Xun Wang - Microsoft Corporation • Jingpei Wu - Ludwig Maximilian University of Munich • Kai Xiong - Harare Institute of Technology • Yuan Yang - Georgia Institute of Technology • Michihiro Yasunaga - Stanford University • Jiahao Ying - Singapore Management University • Ziqian Zeng - South China University of Technology • Hongming Zhang - Tencent AI Lab, Seattle • Gengyuan Zhang - Ludwig Maximilian University of Munich ==================================================================================================