[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/authors/stephen-clark/) [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/) / Stephen Clark # Stephen Clark 6 paper cards in Mova's library · 2004–2019 Stephen Clark wrote 6 of the papers Mova reads, in 2004–2019, 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 [James R. Curran](https://md.mova.elamur.ai/free/en/docs/papers/authors/james-r-curran/), [James Curran](https://md.mova.elamur.ai/free/en/docs/papers/authors/james-curran/), Kris Cao. [OpenAlex](https://openalex.org/A5057392864) · [ORCID](https://orcid.org/0000-0002-2193-4705) · [**h-index 55**](https://openalex.org/authors/A5057392864) · [10787 citations](https://openalex.org/authors/A5057392864) · [406 works](https://openalex.org/works?filter=author.id:A5057392864) — 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=Stephen+Clark) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Stephen+Clark) · [dblp](https://dblp.org/search?q=Stephen+Clark) · [ACL Anthology](https://aclanthology.org/search/?q=Stephen+Clark) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Stephen+Clark) Topics: [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/) 1 · [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/) 1 ## Ideas Mova took (2) From the ideas ledger: an idea tried, kept or queued, or measured with no gain, and what it gave. - **kept** — Mova construction corpus: about 700 sentences of our own across seven constructions (object and subject relatives, reduced relatives, wh-questions, tough adjectives, free relatives), held out from training; report recall per construction for en and gparse on… *([Unbounded Dependency Recovery for Parser Evaluation](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2009-rimell-unbounded-dependency-recovery-parser-evaluation/) · en/data/constructions.tsv: 110 own sentences, 11 constructions, 220 arcs; EWT+ESLSpok model 61.8 recall, en.bin 0.4 70.0, after the parser changes 65.5…)* - **kept** — en parse-eval as a construction gate: a release fails if any construction falls below its last-release value even when LAS rises; check that the gate goes red on a deliberately broken tagger (the negative control). *([Unbounded Dependency Recovery for Parser Evaluation](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2009-rimell-unbounded-dependency-recovery-parser-evaluation/) · en construct-eval gate with per-model floors; negative control (tags shifted one word) turns all 11 constructions red (61.8 -> 3.6); commit 25d072835)* ## Papers 1. **[Factorising AMR generation through syntax](https://md.mova.elamur.ai/free/en/docs/papers/cao-2019-factorising-amr-generation-through-syntax/)** *(2019)* The paper splits AMR generation into two steps. A syntax model first produces a delexicalised constituency tree (only the part-of-speech shape of the sentence) from the AMR; a lexicalisation model then fills in the words given the tree and the AMR. Both are sequence-to-sequence models that share the AMR encoder, and… 2. **[Unbounded Dependency Recovery for Parser Evaluation](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2009-rimell-unbounded-dependency-recovery-parser-evaluation/)** *(2009)* `2 ideas kept` The authors build a parser-evaluation corpus of around 700 sentences annotated with unbounded dependencies in seven grammatical constructions. 3. **[A Tale of Two Parsers: Investigating and Combining Graph-based and Transition-based Dependency Parsing](https://md.mova.elamur.ai/free/en/docs/papers/zhang-2008-tale-two-parsers-investigating-combining/)** *(2008)* `measured` The paper compares graph-based and transition-based dependency parsing within one framework based on beam search and a discriminatively trained perceptron. 4. **[Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models](https://md.mova.elamur.ai/free/en/docs/papers/nlpgap-2007-clark-wide-coverage-efficient-statistical-parsing/)** *(2007)* The article gives a full log-linear parsing model for a CCG grammar extracted automatically from CCGbank. Discriminative training needs the incorrect parses of every training sentence, which is feasible only because a Maximum Entropy supertagger keeps the charts small. Estimation needs up to 25 GB of memory and runs… 5. **[Formalism-Independent Parser Evaluation with CCG and DepBank](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2007-clark-formalism-independent-parser-evaluation-ccg/)** *(2007)* Parsers that use different formalisms produce different output, so their scores cannot be compared directly. 6. **[The Importance of Supertagging for Wide-Coverage CCG Parsing](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2004-clark-importance-supertagging-wide-coverage-ccg/)** *(2004)* The paper shows how a supertagger, which gives each word only a few CCG categories, speeds up a wide-coverage log-linear CCG parser. ## Co-authors (6) - [James R. Curran](https://md.mova.elamur.ai/free/en/docs/papers/authors/james-r-curran/) ×2 - [James Curran](https://md.mova.elamur.ai/free/en/docs/papers/authors/james-curran/) - Kris Cao - [Laura Rimell](https://md.mova.elamur.ai/free/en/docs/papers/authors/laura-rimell/) - [Mark Steedman](https://md.mova.elamur.ai/free/en/docs/papers/authors/mark-steedman/) - [Yue Zhang](https://md.mova.elamur.ai/free/en/docs/papers/authors/yue-zhang/) - [← previous Stephen Beale](https://md.mova.elamur.ai/free/en/docs/papers/authors/stephen-beale/) - [next → Stuart M. Shieber](https://md.mova.elamur.ai/free/en/docs/papers/authors/stuart-m-shieber/) - [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)