Search Results for author: Yash Kankanampati

Found 3 papers, 1 papers with code

Remember what you did so you know what to do next

no code implementations30 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.

Language Modelling Large Language Model +1

Multitask Easy-First Dependency Parsing: Exploiting Complementarities of Different Dependency Representations

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.

Dependency Parsing

Cannot find the paper you are looking for? You can Submit a new open access paper.