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

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

2016

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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

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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

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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

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

2014

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Multilingual Models for Compositional Distributed Semantics
Karl Moritz Hermann | Phil Blunsom

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Semantic Frame Identification with Distributed Word Representations
Karl Moritz Hermann | Dipanjan Das | Jason Weston | Kuzman Ganchev

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Learning Bilingual Word Representations by Marginalizing Alignments
Tomáš Kočiský | Karl Moritz Hermann | Phil Blunsom

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New Directions in Vector Space Models of Meaning
Edward Grefenstette | Karl Moritz Hermann | Georgiana Dinu | Phil Blunsom

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A Deep Architecture for Semantic Parsing
Edward Grefenstette | Phil Blunsom | Nando de Freitas | Karl Moritz Hermann

2013

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The Role of Syntax in Vector Space Models of Compositional Semantics
Karl Moritz Hermann | Phil Blunsom

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Parsing Graphs with Hyperedge Replacement Grammars
David Chiang | Jacob Andreas | Daniel Bauer | Karl Moritz Hermann | Bevan Jones | Kevin Knight

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“Not not bad” is not “bad”: A distributional account of negation
Karl Moritz Hermann | Edward Grefenstette | Phil Blunsom

2012

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Learning Semantics and Selectional Preference of Adjective-Noun Pairs
Karl Moritz Hermann | Chris Dyer | Phil Blunsom | Stephen Pulman

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An Unsupervised Ranking Model for Noun-Noun Compositionality
Karl Moritz Hermann | Phil Blunsom | Stephen Pulman

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