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GOT: Testing for Originality in Natural Language Generation
We propose an approach to automatically test for originality in generation tasks where no standard automatic measures exist.
A general-purpose method for applying Explainable AI for Anomaly Detection
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
Semantic Preserving Bijective Mappings of Mathematical Formulae between Document Preparation Systems and Computer Algebra Systems
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.
Metaphor Detection using Ensembles of Bidirectional Recurrent Neural Networks
In this paper we present our results from the Second Shared Task on Metaphor Detection, hosted by the Second Workshop on Figurative Language Processing.
Classification and Clustering of arXiv Documents, Sections, and Abstracts, Comparing Encodings of Natural and Mathematical Language
In this paper, we show how selecting and combining encodings of natural and mathematical language affect classification and clustering of documents with mathematical content.
Query Expansion for Patent Searching using Word Embedding and Professional Crowdsourcing
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.
