no code implementations • ACL (GEM) 2021 • Jennifer Brooks, Abdou Youssef
We propose an approach to automatically test for originality in generation tasks where no standard automatic measures exist.
no code implementations • 23 Jul 2022 • John Sipple, Abdou Youssef
The need for explainable AI (XAI) is well established but relatively little has been published outside of the supervised learning paradigm.
Explainable Artificial Intelligence (XAI) Unsupervised Anomaly Detection
no code implementations • 17 Sep 2021 • Howard S. Cohl, Moritz Schubotz, Abdou Youssef, André Greiner-Petter, Jürgen Gerhard, Bonita V. Saunders, Marjorie A. ~McClain
Using LaTeX, LaTeXML, and tools generated for use in the National Institute of Standards (NIST) Digital Library of Mathematical Functions, semantically enhanced mathematical LaTeX markup (semantic LaTeX) is achieved by using a semantic macro set.
no code implementations • WS 2020 • Jennifer Brooks, Abdou Youssef
In this paper we present our results from the Second Shared Task on Metaphor Detection, hosted by the Second Workshop on Figurative Language Processing.
no code implementations • 22 May 2020 • Philipp Scharpf, Moritz Schubotz, Abdou Youssef, Felix Hamborg, Norman Meuschke, Bela Gipp
In this paper, we show how selecting and combining encodings of natural and mathematical language affect classification and clustering of documents with mathematical content.
no code implementations • 14 Nov 2019 • Arthi Krishna, Ye Jin, Christine Foster, Greg Gabel, Britt Hanley, Abdou Youssef
By designing a user interface that allows examiners to interact with the word embedding suggestions, we are able to use these interactions to power crowdsourced modes of related terms.