no code implementations • EMNLP (NLP-COVID19) 2020 • Keith Suderman, Nancy Ide, Verhagen Marc, Brent Cochran, James Pustejovsky
In a recent project, the Language Application Grid was augmented to support the mining of scientific publications.
no code implementations • LREC 2022 • Nancy Ide, Keith Suderman, Jingxuan Tu, Marc Verhagen, Shanan Peters, Ian Ross, John Lawson, Andrew Borg, James Pustejovsky
This paper provides an overview of the xDD/LAPPS Grid framework and provides results of evaluating the AskMe retrievalengine using the BEIR benchmark datasets.
no code implementations • LREC 2020 • Jin-Dong Kim, Nancy Ide, Keith Suderman
Several web services for various natural language processing (NLP) tasks ({`}{`}NLP-as-a-service{''} or NLPaaS) have recently been made publicly available.
no code implementations • LREC 2020 • Kyeongmin Rim, Kelley Lynch, Marc Verhagen, Nancy Ide, James Pustejovsky
Promoting interoperrable computational linguistics (CL) and natural language processing (NLP) application platforms and interchange-able data formats have contributed improving discoverabilty and accessbility of the openly available NLP software.
no code implementations • LREC 2020 • Mahmoud El-Haj, Nathan Rutherford, Matthew Coole, Ignatius Ezeani, Sheryl Prentice, Nancy Ide, Jo Knight, Scott Piao, John Mariani, Paul Rayson, Keith Suderman
The corpus database is distributed to permit fast indexing, and provides a simple web front-end with corpus linguistics methods for sub-corpus comparison and retrieval.
no code implementations • WS 2019 • Richard Eckart de Castilho, Nancy Ide, Jin-Dong Kim, Jan-Christoph Klie, Keith Suderman
This paper describes an ecosystem consisting of three independent text annotation platforms.
no code implementations • WS 2017 • Richard Eckart de Castilho, Nancy Ide, Emanuele Lapponi, Stephan Oepen, Keith Suderman, Erik Velldal, Marc Verhagen
We expect that a more in-depth understanding of these choices across designs may led to increased harmonization, or at least to more informed design of future representations.
no code implementations • WS 2016 • Nancy Ide, Keith Suderman, Eric Nyberg, James Pustejovsky, Marc Verhagen
The US National Science Foundation (NSF) SI2-funded LAPPS/Galaxy project has developed an open-source platform for enabling complex analyses while hiding complexities associated with underlying infrastructure, that can be accessed through a web interface, deployed on any Unix system, or run from the cloud.
no code implementations • LREC 2016 • Nancy Ide, Keith Suderman, James Pustejovsky, Marc Verhagen, Christopher Cieri
The NSF-SI2-funded LAPPS Grid project is a collaborative effort among Brandeis University, Vassar College, Carnegie-Mellon University (CMU), and the Linguistic Data Consortium (LDC), which has developed an open, web-based infrastructure through which resources can be easily accessed and within which tailored language services can be efficiently composed, evaluated, disseminated and consumed by researchers, developers, and students across a wide variety of disciplines.
no code implementations • LREC 2014 • Nancy Ide, James Pustejovsky, Christopher Cieri, Eric Nyberg, Di Wang, Keith Suderman, Marc Verhagen, Jonathan Wright
The Language Application (LAPPS) Grid project is establishing a framework that enables language service discovery, composition, and reuse and promotes sustainability, manageability, usability, and interoperability of natural language Processing (NLP) components.
no code implementations • LREC 2012 • Rebecca J. Passonneau, Collin F. Baker, Christiane Fellbaum, Nancy Ide
The MASC project has produced a multi-genre corpus with multiple layers of linguistic annotation, together with a sentence corpus containing WordNet 3. 1 sense tags for 1000 occurrences of each of 100 words produced by multiple annotators, accompanied by indepth inter-annotator agreement data.
no code implementations • LREC 2012 • Gerard de Melo, Collin F. Baker, Nancy Ide, Rebecca J. Passonneau, Christiane Fellbaum
We analyze how different conceptions of lexical semantics affect sense annotations and how multiple sense inventories can be compared empirically, based on annotated text.