--- title: "Chris Dyer — papers and cards" description: "Chris Dyer: 5 paper cards in the Research library (2014–2018), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/chris-dyer/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chris-dyer/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Chris Dyer # Chris Dyer 5 paper cards in the Research library · 2014–2018 Chris Dyer wrote 5 of the papers Mova reads, in 2014–2018, most of them on [Dependency parsing](https://md.research.elamur.ai/free/en/topics/dependency-parsing/), [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/); often with [Noah A. Smith](https://md.research.elamur.ai/free/en/authors/noah-a-smith/), [Archna Bhatia](https://md.research.elamur.ai/free/en/authors/archna-bhatia/), Austin Matthews. [OpenAlex](https://openalex.org/A5111222692) · [**h-index 73**](https://openalex.org/authors/A5111222692) · [36419 citations](https://openalex.org/authors/A5111222692) · [271 works](https://openalex.org/works?filter=author.id:A5111222692) — openalex-snapshot, 2026-10-14 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.research.elamur.ai/free/en/topics/dependency-parsing/) 2 · [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 1 ## Papers 1. **[The NarrativeQA Reading Comprehension Challenge](https://md.research.elamur.ai/free/en/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.research.elamur.ai/free/en/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.research.elamur.ai/free/en/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.research.elamur.ai/free/en/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.research.elamur.ai/free/en/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.research.elamur.ai/free/en/authors/noah-a-smith/) ×3 - [Archna Bhatia](https://md.research.elamur.ai/free/en/authors/archna-bhatia/) - Austin Matthews - [Eduard Hovy](https://md.research.elamur.ai/free/en/authors/eduard-hovy/) - Edward Grefenstette - Gábor Melis - [Jaime Carbonell](https://md.research.elamur.ai/free/en/authors/jaime-carbonell/) - [Jeffrey Flanigan](https://md.research.elamur.ai/free/en/authors/jeffrey-flanigan/) - Jonathan Schwarz - [Karl Moritz Hermann](https://md.research.elamur.ai/free/en/authors/karl-moritz-hermann/) - [Lingpeng Kong](https://md.research.elamur.ai/free/en/authors/lingpeng-kong/) - Miguel Ballesteros - [Nathan Schneider](https://md.research.elamur.ai/free/en/authors/nathan-schneider/) - Phil Blunsom - [Pradeep Dasigi](https://md.research.elamur.ai/free/en/authors/pradeep-dasigi/) - Swabha Swayamdipta - Tomáš Kočiský - Waleed Ammar - Wang Ling ## More papers in the library (13) Pages of the Research library: our summary, the ideas, references and who cites each. - [Unsupervised Text Style Transfer using Language Models as Discriminators](https://md.research.elamur.ai/free/en/papers/yang-2018-unsupervised-text-style-transfer-using/) — Zichao Yang, Zhiting Hu, Chris Dyer, et al. · 2018 - [DyNet: The Dynamic Neural Network Toolkit](https://md.research.elamur.ai/free/en/papers/neubig-2017-dynet-dynamic-neural-network-toolkit/) — Graham Neubig, Chris Dyer, Yoav Goldberg, et al. · 2017 - [Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic Scaffold](https://md.research.elamur.ai/free/en/papers/swayamdipta-2017-frame-semantic-parsing-softmax-margin/) — Swabha Swayamdipta, Sam Thomson, Chris Dyer, et al. · 2017 - [Attention-based Multimodal Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/huang-2016-attention-based-multimodal-neural-machine/) — Po-Yao Huang, Frederick Liu, Sz-Rung Shiang, et al. · 2016 - [Hierarchical Attention Networks for Document Classification](https://md.research.elamur.ai/free/en/papers/yang-2016-hierarchical-attention-networks-document-classification/) — Zichao Yang, Diyi Yang, Chris Dyer, et al. · 2016 - [Many Languages, One Parser](https://md.research.elamur.ai/free/en/papers/ammar-2016-many-languages-one-parser/) — Waleed Ammar, George Mulcaire, Miguel Ballesteros, et al. · 2016 - [Massively Multilingual Word Embeddings](https://md.research.elamur.ai/free/en/papers/ammar-2016-massively-multilingual-word-embeddings/) — Waleed Ammar, George Mulcaire, Yulia Tsvetkov, et al. · 2016 - [Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation](https://md.research.elamur.ai/free/en/papers/ling-2015-finding-function-form-compositional-character/) — Wang Ling, Tiago Luis, Luis Marujo, et al. · 2015 - [Frame-Semantic Role Labeling with Heterogeneous Annotations](https://md.research.elamur.ai/free/en/papers/kshirsagar-2015-frame-semantic-role-labeling-heterogeneous/) — Meghana Kshirsagar, Sam Thomson, Nathan Schneider, et al. · 2015 - [Two/Too Simple Adaptations of Word2Vec for Syntax Problems](https://md.research.elamur.ai/free/en/papers/ling-2015-two-too-simple-adaptations-word2vec/) — Wang Ling, Chris Dyer, Alan W. Black, et al. · 2015 - [Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut](https://md.research.elamur.ai/free/en/papers/schneider-2014-discriminative-lexical-semantic-segmentation-gaps/) — Nathan Schneider, Emily Danchik, Chris Dyer, et al. · 2014 - [Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters](https://md.research.elamur.ai/free/en/papers/owoputi-2013-improved-part-speech-tagging-online/) — Olutobi Owoputi, Brendan O'Connor, Chris Dyer, et al. · 2013 - [Joshua: An Open Source Toolkit for Parsing-Based Machine Translation](https://md.research.elamur.ai/free/en/papers/li-2009-joshua-open-source-toolkit-parsing/) — Zhifei Li, Chris Callison-Burch, Chris Dyer, et al. · 2009