Search Results for author: Michael Wayne Goodman

Found 11 papers, 3 papers with code

The GlobalWordNet Formats: Updates for 2020

1 code implementation EACL (GWC) 2021 John P. McCrae, Michael Wayne Goodman, Francis Bond, Alexandre Rademaker, Ewa Rudnicka, Luis Morgado Da Costa

The Global Wordnet Formats have been introduced to enable wordnets to have a common representation that can be integrated through the Global WordNet Grid.

Penman: An Open-Source Library and Tool for AMR Graphs

1 code implementation ACL 2020 Michael Wayne Goodman

Abstract Meaning Representation (AMR) (Banarescu et al., 2013) is a framework for semantic dependencies that encodes its rooted and directed acyclic graphs in a format called PENMAN notation.

Some Issues with Building a Multilingual Wordnet

no code implementations LREC 2020 Francis Bond, Luis Morgado da Costa, Michael Wayne Goodman, John Philip McCrae, Ahti Lohk

In this paper we discuss the experience of bringing together over 40 different wordnets.

AMR Normalization for Fairer Evaluation

2 code implementations4 Sep 2019 Michael Wayne Goodman

Meaning Representation (AMR; Banarescu et al., 2013) encodes the meaning of sentences as a directed graph and Smatch (Cai and Knight, 2013) is the primary metric for evaluating AMR graphs.

Resources for building applications with Dependency Minimal Recursion Semantics

no code implementations LREC 2016 Ann Copestake, Guy Emerson, Michael Wayne Goodman, Matic Horvat, Alex Kuhnle, er, Ewa Muszy{\'n}ska

We describe resources aimed at increasing the usability of the semantic representations utilized within the DELPH-IN (Deep Linguistic Processing with HPSG) consortium.

Enriching ODIN

no code implementations LREC 2014 Fei Xia, William Lewis, Michael Wayne Goodman, Joshua Crowgey, Emily M. Bender

In this paper, we describe the expansion of the ODIN resource, a database containing many thousands of instances of Interlinear Glossed Text (IGT) for over a thousand languages harvested from scholarly linguistic papers posted to the Web.

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