no code implementations • 30 Oct 2023 • Manuel R. Ciosici, Alex Hedges, Yash Kankanampati, Justin Martin, Marjorie Freedman, Ralph Weischedel
In work contemporaneous with ours, Lin et al. (2023) demonstrated a two-part approach (SwiftSage) that uses a small LLM (T5-large) complemented by OpenAI's massive LLMs to achieve outstanding results in ScienceWorld.
1 code implementation • NAACL 2021 • Manuel R. Ciosici, Joseph Cummings, Mitchell DeHaven, Alex Hedges, Yash Kankanampati, Dong-Ho Lee, Ralph Weischedel, Marjorie Freedman
We describe Machine-Aided Script Curator (MASC), a system for human-machine collaborative script authoring.
no code implementations • COLING 2020 • Yash Kankanampati, Joseph Le Roux, Nadi Tomeh, Dima Taji, Nizar Habash
In this paper we present a parsing model for projective dependency trees which takes advantage of the existence of complementary dependency annotations which is the case in Arabic, with the availability of CATiB and UD treebanks.