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# Karl Moritz Hermann

2 paper cards in Mova's library · 2012–2018

Karl Moritz Hermann wrote 2 of the papers Mova reads, in 2012–2018, most of them on [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/); often with Bevan Jones, [Chris Dyer](https://md.mova.elamur.ai/free/en/docs/papers/authors/chris-dyer/), Daniel Bauer.

[OpenAlex](https://openalex.org/A5001284503) · [**h-index 25**](https://openalex.org/authors/A5001284503) · [8275 citations](https://openalex.org/authors/A5001284503) · [51 works](https://openalex.org/works?filter=author.id:A5001284503) — openalex, 2026-10-18

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Karl+Moritz+Hermann) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Karl+Moritz+Hermann) · [dblp](https://dblp.org/search?q=Karl+Moritz+Hermann) · [ACL Anthology](https://aclanthology.org/search/?q=Karl+Moritz+Hermann) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Karl+Moritz+Hermann)

Topics: [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/) 1

## Papers

1. **[The NarrativeQA Reading Comprehension Challenge](https://md.mova.elamur.ai/free/en/docs/papers/kocisky-2018-narrativeqa-reading-comprehension-challenge/)** *(2018)* NarrativeQA pairs 1,567 long stories (half Gutenberg books, half movie scripts) with plot summaries from Wikipedia; annotators who saw only the summary wrote about 30 question–answer pairs per story in their own words (46,765 in all, answers 4.7 tokens on average, a second reference answer per question).
2. **[Semantics-Based Machine Translation with Hyperedge Replacement Grammars](https://md.mova.elamur.ai/free/en/docs/papers/jones-2012-semantics-based-machine-translation-hyperedge/)** *(2012)* The paper translates through a graph-shaped meaning representation. A source sentence is analysed into a graph, the graph is the pivot, and the target sentence is generated from it. The grammar is a weighted synchronous hyperedge replacement grammar. Its rules are learned from aligned string and graph pairs by an…

## Co-authors (10)

- Bevan Jones
- [Chris Dyer](https://md.mova.elamur.ai/free/en/docs/papers/authors/chris-dyer/)
- Daniel Bauer
- Edward Grefenstette
- Gábor Melis
- [Jacob Andreas](https://md.mova.elamur.ai/free/en/docs/papers/authors/jacob-andreas/)
- Jonathan Schwarz
- [Kevin Knight](https://md.mova.elamur.ai/free/en/docs/papers/authors/kevin-knight/)
- Phil Blunsom
- Tomáš Kočiský
- [← previous Kareem Darwish](https://md.mova.elamur.ai/free/en/docs/papers/authors/kareem-darwish/)
- [next → Katharina Probst](https://md.mova.elamur.ai/free/en/docs/papers/authors/katharina-probst/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)