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Message from the Organizers Welcome to the second edition of the Workshop on Pattern-based Approaches to NLP in the Age of Deep Learning (Pan-DL)! Our workshop is being organized in a hybrid format on December 6, 2023, in conjunction with the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP). In the past year, the natural language processing (NLP) field (and the world at large!) has been hit by the large language model (LLM) "tsunami." This happened for the right reasons: LLMs perform extremely well in a multitude of NLP tasks, often with minimal training and, perhaps for the first time, have made NLP technology extremely approachable to non-expert users. However, LLMs are not perfect: they are not really explainable, they are not pliable, i.e., they cannot be easily modified to correct any errors observed, and they are not efficient due to the overhead of decoding. In contrast, rule-based methods are more transparent to subject matter experts; they are amenable to having a human in the loop through intervention, manipulation and incorporation of domain knowledge; and further the resulting systems tend to be lightweight and fast. This workshop focuses on all aspects of rule-based approaches, including their application, representation, and interpretability, as well as their strengths and weaknesses relative to state-of-the-art machine learning approaches. Considering the large number of potential directions in this neuro-symbolic space, we emphasized inclusivity in our workshop. We received 19 submissions and accepted 10 for oral presentation. This resulted in an overall acceptance rate of 52%. Our workshop also includes 6 presentations of papers that were accepted in Findings of EMNLP. In addition to the oral presentations of the accepted papers, our workshop includes a keynote talk by Yunyao Li, who has made many important contributions to the field of symbolic approaches for natural language processing. Further, the workshop contains a panel that will discuss the merits and limitations of rules in the new LLM era. The panelists will be academics with expertise in both neural- and rulebased methods, industry experts that employ these methods for commercial products, and subject matter experts that have used rule-based methods for domain-specific applications. We thank Yunyao Li and the panelists for their important contribution to our workshop! Finally, we are thankful to the members of the program committee for their insightful reviews! We are confident that all submissions have benefited from their expert feedback. Their contribution was a key factor for accepting a diverse and high-quality list of papers, which we hope will make the first edition of the Pan-DL workshop a success, and will motivate many future editions. Pan-DL 2023 Organizers December 6, 2023