Karl Moritz Hermann


2018

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The NarrativeQA Reading Comprehension Challenge
Tomáš Kočiský | Jonathan Schwarz | Phil Blunsom | Chris Dyer | Karl Moritz Hermann | Gábor Melis | Edward Grefenstette
Transactions of the Association for Computational Linguistics, Volume 6

Reading comprehension (RC)—in contrast to information retrieval—requires integrating information and reasoning about events, entities, and their relations across a full document. Question answering is conventionally used to assess RC ability, in both artificial agents and children learning to read. However, existing RC datasets and tasks are dominated by questions that can be solved by selecting answers using superficial information (e.g., local context similarity or global term frequency); they thus fail to test for the essential integrative aspect of RC. To encourage progress on deeper comprehension of language, we present a new dataset and set of tasks in which the reader must answer questions about stories by reading entire books or movie scripts. These tasks are designed so that successfully answering their questions requires understanding the underlying narrative rather than relying on shallow pattern matching or salience. We show that although humans solve the tasks easily, standard RC models struggle on the tasks presented here. We provide an analysis of the dataset and the challenges it presents.

2017

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Proceedings of the 2nd Workshop on Representation Learning for NLP
Phil Blunsom | Antoine Bordes | Kyunghyun Cho | Shay Cohen | Chris Dyer | Edward Grefenstette | Karl Moritz Hermann | Laura Rimell | Jason Weston | Scott Yih
Proceedings of the 2nd Workshop on Representation Learning for NLP

2016

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Proceedings of the 1st Workshop on Representation Learning for NLP
Phil Blunsom | Kyunghyun Cho | Shay Cohen | Edward Grefenstette | Karl Moritz Hermann | Laura Rimell | Jason Weston | Scott Wen-tau Yih
Proceedings of the 1st Workshop on Representation Learning for NLP

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Latent Predictor Networks for Code Generation
Wang Ling | Phil Blunsom | Edward Grefenstette | Karl Moritz Hermann | Tomáš Kočiský | Fumin Wang | Andrew Senior
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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Semantic Parsing with Semi-Supervised Sequential Autoencoders
Tomáš Kočiský | Gábor Melis | Edward Grefenstette | Chris Dyer | Wang Ling | Phil Blunsom | Karl Moritz Hermann
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

2015

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Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality
Alexandre Allauzen | Edward Grefenstette | Karl Moritz Hermann | Hugo Larochelle | Scott Wen-tau Yih
Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality

2014

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A Deep Architecture for Semantic Parsing
Edward Grefenstette | Phil Blunsom | Nando de Freitas | Karl Moritz Hermann
Proceedings of the ACL 2014 Workshop on Semantic Parsing

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Multilingual Models for Compositional Distributed Semantics
Karl Moritz Hermann | Phil Blunsom
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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Semantic Frame Identification with Distributed Word Representations
Karl Moritz Hermann | Dipanjan Das | Jason Weston | Kuzman Ganchev
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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Learning Bilingual Word Representations by Marginalizing Alignments
Tomáš Kočiský | Karl Moritz Hermann | Phil Blunsom
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

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New Directions in Vector Space Models of Meaning
Edward Grefenstette | Karl Moritz Hermann | Georgiana Dinu | Phil Blunsom
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: Tutorials

2013

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“Not not bad” is not “bad”: A distributional account of negation
Karl Moritz Hermann | Edward Grefenstette | Phil Blunsom
Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality

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The Role of Syntax in Vector Space Models of Compositional Semantics
Karl Moritz Hermann | Phil Blunsom
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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Parsing Graphs with Hyperedge Replacement Grammars
David Chiang | Jacob Andreas | Daniel Bauer | Karl Moritz Hermann | Bevan Jones | Kevin Knight
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

2012

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Semantics-Based Machine Translation with Hyperedge Replacement Grammars
Bevan Jones | Jacob Andreas | Daniel Bauer | Karl Moritz Hermann | Kevin Knight
Proceedings of COLING 2012

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Learning Semantics and Selectional Preference of Adjective-Noun Pairs
Karl Moritz Hermann | Chris Dyer | Phil Blunsom | Stephen Pulman
*SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012)

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An Unsupervised Ranking Model for Noun-Noun Compositionality
Karl Moritz Hermann | Phil Blunsom | Stephen Pulman
*SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012)