David L. King

发表

The OSU Realizer for SRST ‘18: Neural Sequence-to-Sequence Inflection and Incremental Locality-Based Linearization

David L. King, Michael White, 2018 .

Interpreting Sequence-to-Sequence Models for Russian Inflectional Morphology

Andrea D. Sims, M. Elsner, David L. King, 2020, SCIL.

Modeling morphological learning, typology, and change: What can the neural sequence-to-sequence framework contribute?

Alexander Erdmann, Micha Elsner, Evan Jaffe, 2019, Journal of Language Modelling.

Using Paraphrasing and Memory-Augmented Models to Combat Data Sparsity in Question Interpretation with a Virtual Patient Dialogue System

David King, Douglas Danforth, Michael White, 2018, BEA@NAACL-HLT.

AZMAT: Sentence Similarity Using Associative Matrices

David King, Evan Jaffe, Marten Van Schijndel, 2015, *SEMEVAL.

Breaking NLP: Using Morphosyntax, Semantics, Pragmatics and World Knowledge to Fool Sentiment Analysis Systems

Micha Elsner, Willy Cheung, Marie-Catherine de Marneffe, 2017 .