Nathan’s Excellent Research Team takes an interdisciplinary approach to computational linguistics and natural language processing.

We build datasets and algorithms elucidating the patterns and structures underlying text written in natural languages such as English, Spanish, Hebrew, and Japanese. Topics and techniques include computational semantics, corpus annotation, and machine learning.

GitHub     GUCL

• May 12, 2018: Lucia, Emma, and Jakob presented their work at MASC-SLL at UMBC: Lucia about tense/aspect for AMR, Emma about generation from AMR, and Jakob about German preposition semantics
• May 9-11, 2018: Austin presented "Semantic supersenses for English possessives" at LREC, Miyazaki, Japan
• May 6, 2017: Austin presented his work on possessive semantics at MASC-SLL, Washington, DC