Alexander Koller
5 papers in the PaperMetrix corpus
Papers by this author
-
Fast semantic parsing with well-typedness guarantees
2020
AM dependency parsing is a linguistically principled method for neural semantic parsing with high accuracy across multiple graphbanks. It relies on a type system that models semantic valency but makes existing parsers slow. We describe …
-
Generating Instructions at Different Levels of Abstraction
2020 · arXiv (Cornell University)
When generating technical instructions, it is often convenient to describe complex objects in the world at different levels of abstraction. A novice user might need an object explained piece by piece, while for an expert, …
-
Improved Generalized Planning with LLMs Through Strategy Refinement and Reflection
2026 · Proceedings of the International Conference on Automated Planning and Scheduling
LLMs have recently been used to generate Python programs representing generalized plans in PDDL planning, i.e., plans that generalize across the tasks of a given PDDL domain. Previous work proposed a framework consisting of three …
-
AMR dependency parsing with a typed semantic algebra
2018
Jonas Groschwitz, Matthias Lindemann, Meaghan Fowlie, Mark Johnson, Alexander Koller. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2018.
-
Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data
2020
The success of the large neural language models on many NLP tasks is exciting. However, we find that these successes sometimes lead to hype in which these models are being described as "understanding" language or …