This paper introduces "Abstract Syntax Networks," a model designed to convert natural language descriptions into executable code (like Python or SQL) by predicting the structure of the code directly. Source: ACL Anthology P17-1105
2. Sentences with Gapping: Parsing and Reconstructing Elided Material (2018) Computational Linguistics 1105mp4
The code often refers to specific academic papers in the ACL Anthology (a digital archive of conference papers on Natural Language Processing). Depending on which conference year you are looking for, here are three high-quality "1105" papers you can explore: 1. Abstract Syntax Networks for Code Generation (2017) Topic: Artificial Intelligence / Programming This paper introduces "Abstract Syntax Networks," a model
This paper uses a Transformer-based model to categorize documents more accurately by figuring out the specific meaning of a word based on the domain it's used in (e.g., "bank" in finance vs. "bank" in geography). Source: ACL Anthology P19-1105 Depending on which conference year you are looking