Lightly Supervised Transliteration for Machine Translation. - Amit Kirschenbaum; Shuly Wintner (EACL, 2009)

A General Method for Creating a Bilingual Transliteration Dictionary. - Amit Kirschenbaum; Shuly Wintner (LREC, 2010)

Labeling Queries for a People Search Engine. - Antje Schlaf; Amit Kirschenbaum; Robert Remus; Thomas Efer (NLDB, 2012)

Unsupervised Segmentation for Different Types of Morphological Processes Using Multiple Sequence Alignment. - Amit Kirschenbaum (SLSP, 2013)

To Split or Not, and If so, Where? Theoretical and Empirical Aspects of Unsupervised Morphological Segmentation. - Amit Kirschenbaum (CICLing (1), 2015)

Investigating the Morphological Complexity of German Named Entities: The Case of the GermEval NER Challenge. - Bettina Klimek; Markus Ackermann 001; Amit Kirschenbaum; Sebastian Hellmann (GSCL, 2017)

IDOL: Comprehensive & Complete LOD Insights. - Ciro Baron Neto; Dimitris Kontokostas; Amit Kirschenbaum; Gustavo Correa Publio; Diego Esteves; Sebastian Hellmann (SEMANTiCS, 2017)

DBpedia NIF: Open, Large-Scale and Multilingual Knowledge Extraction Corpus. - Milan Dojchinovski; Julio Hernandez; Markus Ackermann 001; Amit Kirschenbaum; Sebastian Hellmann (CoRR, 2018)

Linking geospatial data with Geo-L - analysis and experiments of big data readiness of common technologies. - Christian Zinke-Wehlmann; Amit Kirschenbaum (CoRR, 2019)

Geo-L: Topological Link Discovery for Geospatial Linked Data Made Easy. - Christian Zinke-Wehlmann; Amit Kirschenbaum (ISPRS Int. J. Geo Inf., 2021)

Unsupervised approaches for morphological analysis. - Amit Kirschenbaum (2021)

Conceptualizing Sustainable Artificial Intelligence Development. - Christian Zinke-Wehlmann; Julia Friedrich; Amit Kirschenbaum; Mandy Wölke; Anja Brückner (PRO-VE, 2022)

Unsupervised induction of inflectional families. - Amit Kirschenbaum (Comput. Speech Lang., 2022)

Our recommendation: Surprisal. A recommender system with information theory for e-learning. - Michael Richter; Amit Kirschenbaum (DELFI Workshops, 2024)