The string2string library is an open-source tool that offers a comprehensive suite of efficient algorithms for a broad range of string-to-string problems. It includes both traditional algorithmic solutions and recent advanced neural approaches to address various problems in pairwise string alignment, distance measurement, lexical and semantic search, and similarity analysis. Additionally, the library provides several helpful visualization tools and metrics to facilitate the interpretation and analysis of these methods.
odyCy is a state of the art NLP library for Ancient Greek, capable of part-of-speech tagging, morphological analysis, dependency parsing, lemmatization and more.
The paper discusses the capabilities of large pre-trained language models and their limitations in accessing and manipulating knowledge. The authors introduce retrieval-augmented generation (RAG) models that combine pre-trained parametric and non-parametric memory for language generation. The study explores the effectiveness of RAG models in various NLP tasks and compares them with other architectures.
ChatGPT-4, powered by OpenAI, is the ultimate game-changer in conversational AI. It is advanced NLP and machine learning capabilities offer next-gen virtual assistant and chatbot solutions.
In the ever-evolving world of search engine optimization (SEO), staying updated with the latest trends is crucial to maintaining a competitive edge. One trend that has gained significant momentum in recent years is voice search.
With the rise of virtual assistants and smart devices, more users rely on voice commands to search for information, make inquiries, and perform various online tasks. As voice search continues to reshape the digital landscape, optimizing your website for this trend has become a must-have SEO strategy in 2023.
H. Chang, and A. McCallum. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), page 8048--8073. Dublin, Ireland, Association for Computational Linguistics, (May 2022)
H. Chang, Z. Yao, A. Gon, H. Yu, and A. McCallum. Findings of the Association for Computational Linguistics: ACL 2023, page 12707--12730. Toronto, Canada, Association for Computational Linguistics, (July 2023)
J. Wunderle, J. Schubert, A. Cacciatore, A. Zehe, J. Pfister, and A. Hotho. Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), page 602--612. Mexico City, Mexico, Association for Computational Linguistics, (June 2024)
J. Wunderle, J. Schubert, A. Cacciatore, A. Zehe, J. Pfister, and A. Hotho. Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), page 602--612. Mexico City, Mexico, Association for Computational Linguistics, (June 2024)