Search Results for author: Joe Cecil

Found 4 papers, 2 papers with code

Perhaps PTLMs Should Go to School – A Task to Assess Open Book and Closed Book QA

no code implementations AKBC Workshop CSKB 2021 Manuel Ciosici, Joe Cecil, Dong-Ho Lee, Alex Hedges, Marjorie Freedman, Ralph Weischedel

Our goal is to deliver a new task and leaderboard to stimulate research on question answering and pre-trained language models (PTLMs) to understand a significant instructional document, e. g., an introductory college textbook or a manual.

Question Answering

Perhaps PTLMs Should Go to School -- A Task to Assess Open Book and Closed Book QA

no code implementations4 Oct 2021 Manuel R. Ciosici, Joe Cecil, Alex Hedges, Dong-Ho Lee, Marjorie Freedman, Ralph Weischedel

Our goal is to deliver a new task and leaderboard to stimulate research on question answering and pre-trained language models (PTLMs) to understand a significant instructional document, e. g., an introductory college textbook or a manual.

Question Answering

A Grounded Approach to Modeling Generic Knowledge Acquisition

1 code implementation7 May 2021 Deniz Beser, Joe Cecil, Marjorie Freedman, Jacob Lichtefeld, Mitch Marcus, Sarah Payne, Charles Yang

We introduce and implement a cognitively plausible model for learning from generic language, statements that express generalizations about members of a category and are an important aspect of concept development in language acquisition (Carlson & Pelletier, 1995; Gelman, 2009).

Language Acquisition

ADAM: A Sandbox for Implementing Language Learning

1 code implementation5 May 2021 Ryan Gabbard, Deniz Beser, Jacob Lichtefeld, Joe Cecil, Mitch Marcus, Sarah Payne, Charles Yang, Marjorie Freedman

We present ADAM, a software system for designing and running child language learning experiments in Python.

Language Acquisition

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