Meetings/Workshops on Natural Language Processing, Computational Linguistics in Mexico

For the past fifteen years, the workshops in the TextGraphs series have published and promoted the synergy between the field of Graph Theory (GT) and Natural Language Processing (NLP). The mix between the two started small, with graph theoretical frameworks providing efficient and elegant solutions for NLP applications. Graph-based solutions initially focused on single-document part-of-speech tagging, word sense disambiguation, and semantic role labeling, and became progressively larger to include ontology learning and information extraction from large text collections. The fifteenth edition of the TextGraphs workshop aims to extend the focus on graph-based representations for (1) large-scale knowledge bases and reasoning about them and (2) graph-based and graph-supported machine learning and deep learning methods. We are organizing a shared task on multi-hop inference before the workshop!

Organizers;     Email: textgraphsoc@gmail.com

natural language processing, graphs, shared task, graph embeddings, machine learning, knowledge graphs