Natural Language
Natural language processing (NLP) focuses on enabling computers to understand, interpret, and generate human language. Current research heavily utilizes large language models (LLMs), such as BERT and others, to tackle diverse tasks including text-to-SQL translation, semantic analysis of images, and even controlling robots via natural language commands. The field's impact spans various sectors, from improving search engines and e-commerce platforms to advancing healthcare diagnostics and facilitating more efficient scientific research through automated literature analysis and data extraction.
Papers
Automatic Metrics in Natural Language Generation: A Survey of Current Evaluation Practices
Patrícia Schmidtová, Saad Mahamood, Simone Balloccu, Ondřej Dušek, Albert Gatt, Dimitra Gkatzia, David M. Howcroft, Ondřej Plátek, Adarsa Sivaprasad
Research on color recipe recommendation based on unstructured data using TENN
Seongsu Jhang, Donghwi Yoo, Jaeyong Kown
Investigating a Benchmark for Training-set free Evaluation of Linguistic Capabilities in Machine Reading Comprehension
Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
Generalisation First, Memorisation Second? Memorisation Localisation for Natural Language Classification Tasks
Verna Dankers, Ivan Titov
Leveraging Natural Language and Item Response Theory Models for ESG Scoring
César Pedrosa Soares
Language-driven Grasp Detection with Mask-guided Attention
Tuan Van Vo, Minh Nhat Vu, Baoru Huang, An Vuong, Ngan Le, Thieu Vo, Anh Nguyen
Prometheus Chatbot: Knowledge Graph Collaborative Large Language Model for Computer Components Recommendation
Yunsheng Wang, Songhao Chen, Kevin Jin
LLMs' Understanding of Natural Language Revealed
Walid S. Saba
A Benchmark Dataset for Multimodal Prediction of Enzymatic Function Coupling DNA Sequences and Natural Language
Yuchen Zhang, Ratish Kumar Chandrakant Jha, Soumya Bharadwaj, Vatsal Sanjaykumar Thakkar, Adrienne Hoarfrost, Jin Sun
Towards Automated Data Sciences with Natural Language and SageCopilot: Practices and Lessons Learned
Yuan Liao, Jiang Bian, Yuhui Yun, Shuo Wang, Yubo Zhang, Jiaming Chu, Tao Wang, Kewei Li, Yuchen Li, Xuhong Li, Shilei Ji, Haoyi Xiong