12 citations · 17 across the 5 of their papers we have counts for
5 papers
Accenture at CheckThat! 2021: Interesting claim identification and ranking with contextually sensitive lexical training data augmentation
Evan Williams, Paul Rodrigues, Sieu Tran
This paper discusses the approach used by the Accenture Team for CLEF2021 CheckThat! Lab, Task 1, to identify whether a claim made in social media would be interesting to a wide au…
Accenture at CheckThat! 2020: If you say so: Post-hoc fact-checking of claims using transformer-based models
Evan Williams, Paul Rodrigues, Valerie Novak
We introduce the strategies used by the Accenture Team for the CLEF2020 CheckThat! Lab, Task 1, on English and Arabic. This shared task evaluated whether a claim in social media te…
A random forest system combination approach for error detection in digital dictionaries
Michael Bloodgood, Peng Ye, Paul Rodrigues +2
When digitizing a print bilingual dictionary, whether via optical character recognition or manual entry, it is inevitable that errors are introduced into the electronic version tha…
Detecting Structural Irregularity in Electronic Dictionaries Using Language Modeling
Paul Rodrigues, David Zajic, David Doermann +2
Dictionaries are often developed using tools that save to Extensible Markup Language (XML)-based standards. These standards often allow high-level repeating elements to represent l…
Correcting Errors in Digital Lexicographic Resources Using a Dictionary Manipulation Language
David Zajic, Michael Maxwell, David Doermann +2
We describe a paradigm for combining manual and automatic error correction of noisy structured lexicographic data. Modifications to the structure and underlying text of the lexicog…