[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/authors/chris-dyer/) [home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/) / Chris Dyer # Chris Dyer 5 paper cards in Mova's library · 2014–2018 Chris Dyer wrote 5 of the papers Mova reads, in 2014–2018, most of them on [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/), [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/); often with [Noah A. Smith](https://md.mova.elamur.ai/free/en/docs/papers/authors/noah-a-smith/), [Archna Bhatia](https://md.mova.elamur.ai/free/en/docs/papers/authors/archna-bhatia/), Austin Matthews. [OpenAlex](https://openalex.org/A5111222692) · [**h-index 76**](https://openalex.org/authors/A5111222692) · [37927 citations](https://openalex.org/authors/A5111222692) · [275 works](https://openalex.org/works?filter=author.id:A5111222692) — 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=Chris+Dyer) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chris+Dyer) · [dblp](https://dblp.org/search?q=Chris+Dyer) · [ACL Anthology](https://aclanthology.org/search/?q=Chris+Dyer) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Chris+Dyer) Topics: [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/) 2 · [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. **[Ontology-Aware Token Embeddings for Prepositional Phrase Attachment](https://md.mova.elamur.ai/free/en/docs/papers/onto-2017-dasigi-ontology-aware-token-embeddings-prepositional/)** *(2017)* A type-level embedding gives one vector per word form, so "pool" as a place and "pool" as a game share a vector. 3. **[Generation from Abstract Meaning Representation using Tree Transducers](https://md.mova.elamur.ai/free/en/docs/papers/flanigan-2016-generation-abstract-meaning-representation-tree/)** *(2016)* The paper generates English from AMR graphs in two steps. A breadth-first spanning tree is taken from the graph, and a weighted tree-to-string transducer turns that tree into a sentence. The transducer rules are extracted from AMR-aligned sentences: each aligned subgraph becomes a rule with argument slots for its… 4. **[Transition-Based Dependency Parsing with Stack Long Short-Term Memory](https://md.mova.elamur.ai/free/en/docs/papers/missing-2015-dyer-transition-based-dependency-parsing-stack/)** *(2015)* The paper introduces the stack LSTM: an LSTM with a stack pointer, so that pushes and pops take constant time and the network keeps a vector summary of the current stack contents. 5. **[A Dependency Parser for Tweets](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2014-kong-dependency-parser-tweets/)** *(2014)* Tweets break the assumptions of newswire parsers: many tokens (retweet markers, usernames, hashtags, URLs, punctuation) have no syntactic role, a tweet can hold several utterances with their own roots, and multiword names and idioms are common. ## Co-authors (19) - [Noah A. Smith](https://md.mova.elamur.ai/free/en/docs/papers/authors/noah-a-smith/) ×3 - [Archna Bhatia](https://md.mova.elamur.ai/free/en/docs/papers/authors/archna-bhatia/) - Austin Matthews - [Eduard Hovy](https://md.mova.elamur.ai/free/en/docs/papers/authors/eduard-hovy/) - Edward Grefenstette - Gábor Melis - [Jaime Carbonell](https://md.mova.elamur.ai/free/en/docs/papers/authors/jaime-carbonell/) - [Jeffrey Flanigan](https://md.mova.elamur.ai/free/en/docs/papers/authors/jeffrey-flanigan/) - Jonathan Schwarz - [Karl Moritz Hermann](https://md.mova.elamur.ai/free/en/docs/papers/authors/karl-moritz-hermann/) - [Lingpeng Kong](https://md.mova.elamur.ai/free/en/docs/papers/authors/lingpeng-kong/) - Miguel Ballesteros - [Nathan Schneider](https://md.mova.elamur.ai/free/en/docs/papers/authors/nathan-schneider/) - Phil Blunsom - [Pradeep Dasigi](https://md.mova.elamur.ai/free/en/docs/papers/authors/pradeep-dasigi/) - Swabha Swayamdipta - Tomáš Kočiský - Waleed Ammar - Wang Ling - [← previous Chris Callison-Burch](https://md.mova.elamur.ai/free/en/docs/papers/authors/chris-callison-burch/) - [next → Chris Quirk](https://md.mova.elamur.ai/free/en/docs/papers/authors/chris-quirk/) - [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)