Matko Bosnjak

Also published as: Matko Bošnjak


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Jack the Reader – A Machine Reading Framework
Dirk Weissenborn | Pasquale Minervini | Isabelle Augenstein | Johannes Welbl | Tim Rocktäschel | Matko Bošnjak | Jeff Mitchell | Thomas Demeester | Tim Dettmers | Pontus Stenetorp | Sebastian Riedel
Proceedings of ACL 2018, System Demonstrations

Many Machine Reading and Natural Language Understanding tasks require reading supporting text in order to answer questions. For example, in Question Answering, the supporting text can be newswire or Wikipedia articles; in Natural Language Inference, premises can be seen as the supporting text and hypotheses as questions. Providing a set of useful primitives operating in a single framework of related tasks would allow for expressive modelling, and easier model comparison and replication. To that end, we present Jack the Reader (JACK), a framework for Machine Reading that allows for quick model prototyping by component reuse, evaluation of new models on existing datasets as well as integrating new datasets and applying them on a growing set of implemented baseline models. JACK is currently supporting (but not limited to) three tasks: Question Answering, Natural Language Inference, and Link Prediction. It is developed with the aim of increasing research efficiency and code reuse.


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emoji2vec: Learning Emoji Representations from their Description
Ben Eisner | Tim Rocktäschel | Isabelle Augenstein | Matko Bošnjak | Sebastian Riedel
Proceedings of the Fourth International Workshop on Natural Language Processing for Social Media


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A Strong Lexical Matching Method for the Machine Comprehension Test
Ellery Smith | Nicola Greco | Matko Bošnjak | Andreas Vlachos
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing


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Low-Dimensional Embeddings of Logic
Tim Rocktäschel | Matko Bosnjak | Sameer Singh | Sebastian Riedel
Proceedings of the ACL 2014 Workshop on Semantic Parsing