Yash Kankanampati — accepted AI-conference papers

2023

Remember what you did so you know what to do next

Manuel Rafael Ciosici, Alex Hedges, Yash Kankanampati, Justin Andrew Martin, Marjorie Freedman, Ralph M. Weischedel

EMNLP 2023short findings

We explore using the 6B parameter GPT-J language model to create a plan for a simulated robot to achieve 30 classes of goals in ScienceWorld, a text game simulator for elementary science experiments and for which previously published empirical work has shown large language models (LLM)s to be a poor…

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2021

Machine-Assisted Script Curation

Manuel Ciosici, Joseph Cummings, Mitchell DeHaven, Alex Hedges, Yash Kankanampati, Dong-Ho Lee +2

NAACL 2021system demonstrations

We describe Machine-Aided Script Curator (MASC), a system for human-machine collaborative script authoring. Scripts produced with MASC include (1) English descriptions of sub-events that comprise a larger, complex event; (2) event types for each of those events; (3) a record of entities expected to…

Cited by 8 Source ↗PDF ↗code ↗Scholar ↗

2020

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

Yash Kankanampati, Joseph Le Roux, Nadi Tomeh, Dima Taji, Nizar Habash

COLING 2020main

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. Our system performs syntactic parsing according to both annotation typ…

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