--- title: "Julia Hockenmaier — author profile and papers" description: "Julia Hockenmaier, University of Illinois Urbana-Champaign: 2 papers on Elamur Research (2007–2010), h-index 32 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/julia-hockenmaier/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/julia-hockenmaier/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Julia Hockenmaier # Julia Hockenmaier Julia Hockenmaier works in natural language processing, where the papers here deal with two linked concerns: how to build large annotated resources for language, and how to make those resources reliable. One strand addresses grammar formalisms, especially Combinatory Categorial Grammar (CCG), and the conversion of existing treebank annotation into richer syntactic representations. The other turns to collecting language data from crowd workers, with attention to how quality can be controlled when there is no fixed answer to check against. The more cited of the two works is [CCGbank](https://md.research.elamur.ai/free/en/papers/hockenmaier-2007-ccgbank-corpus-ccg-derivations-dependency/) (2007). It describes an algorithm that turns Penn Treebank phrase-structure trees into CCG derivations. Along the way it makes binarization, head and complement/adjunct decisions, and it recovers word-to-word dependencies, including long-range ones arising from extraction, control, raising and coordination. The original annotation is first cleaned of noise and inconsistencies, and the resulting corpus covers 99.44% of the Penn sentences. The paper also reports that rule instantiations follow a Zipfian distribution. The later paper, [Collecting Image Annotations Using Amazon's Mechanical Turk](https://md.research.elamur.ai/free/en/papers/rashtchian-2010-collecting-image-annotations-amazon-s/) (2010), moves toward joint work on vision and language. It gathers full-sentence descriptions of photographs and compares ways of keeping free-text contributions accurate. Among its findings, screening workers with a short qualification test before they wrote improved quality more than any correction applied afterwards. Workers who scored perfectly on control items did not agree more closely with experts. Hockenmaier's current institution is the [University of Illinois Urbana-Champaign](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/), with bylines there from 2008 onward, and a 2026 paper is also linked to the Korea Advanced Institute of Science and Technology. Earlier papers came from the [University of Pennsylvania](https://md.research.elamur.ai/free/en/universities/university-of-pennsylvania/) and the [University of Edinburgh](https://md.research.elamur.ai/free/en/universities/university-of-edinburgh/) in the 2000s. Co-authors on the site include [Mark Steedman](https://md.research.elamur.ai/free/en/authors/mark-steedman/), and the papers here fall under [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/) and [Syntax & grammar formalisms](https://md.research.elamur.ai/free/en/topics/syntax-grammar/). Julia Hockenmaier has 2 papers in our library, in 2007–2010, most of them on [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/), [Syntax & grammar formalisms](https://md.research.elamur.ai/free/en/topics/syntax-grammar/); often with [Mark Steedman](https://md.research.elamur.ai/free/en/authors/mark-steedman/). 2 papers in our library · 2007–2010 [OpenAlex](https://openalex.org/A5042661827) · [ORCID](https://orcid.org/0000-0003-2796-1752) · [**h-index 32**](https://openalex.org/authors/A5042661827) · [115 works](https://openalex.org/works?filter=author.id:A5042661827) · [10,624 citations](https://openalex.org/works?filter=author.id:A5042661827&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/julia-hockenmaier/#papers) · [🔗 512 citations in our library](https://md.research.elamur.ai/free/en/authors/julia-hockenmaier/cited-by/) · [6 more in our library without a page yet](#also) · [⭐ Paper Star rank #1770](https://md.research.elamur.ai/free/en/paper-stars/page/18/#star-1770) 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=Julia+Hockenmaier) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Julia+Hockenmaier) · [dblp](https://dblp.org/search?q=Julia+Hockenmaier) · [ACL Anthology](https://aclanthology.org/search/?q=Julia+Hockenmaier) ## Affiliations [🎓**University of Illinois Urbana-Champaign** Urbana · United States 2008–2026 · 81 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**University of Pennsylvania** Philadelphia · United States 2003–2007 · 11 papers](https://md.research.elamur.ai/free/en/universities/university-of-pennsylvania/) · [🎓**University of Edinburgh** Edinburgh · United Kingdom 2000–2007 · 10 papers](https://md.research.elamur.ai/free/en/universities/university-of-edinburgh/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed. ## Topics [Treebanks (1)](https://md.research.elamur.ai/free/en/topics/treebanks/) · [Syntax & grammar formalisms (1)](https://md.research.elamur.ai/free/en/topics/syntax-grammar/) ## Works by year ### 2010s [**2010** 1 paper](https://md.research.elamur.ai/free/en/papers/rashtchian-2010-collecting-image-annotations-amazon-s/) ### 2000s [**2007** 1 paper](https://md.research.elamur.ai/free/en/papers/hockenmaier-2007-ccgbank-corpus-ccg-derivations-dependency/) ## Papers The most cited first (OpenAlex and our library). 1. **[CCGbank: A Corpus of CCG Derivations and Dependency Structures Extracted from the Penn Treebank](https://md.research.elamur.ai/free/en/papers/hockenmaier-2007-ccgbank-corpus-ccg-derivations-dependency/)** *(2007 · 611 citations)* The paper gives an algorithm that translates Penn Treebank phrase-structure trees into Combinatory Categorial Grammar derivations, with binarization, head and complement/adjunct decisions, and word-word dependencies, including long-range ones from extraction, control, raising, right-node raising and coordination. 2. **[Collecting Image Annotations Using Amazon's Mechanical Turk](https://md.research.elamur.ai/free/en/papers/rashtchian-2010-collecting-image-annotations-amazon-s/)** *(2010 · 562 citations)* The authors wanted a corpus that pairs photographs with plain full-sentence descriptions of what they show, such as objects, their attributes, relations and actions. ## Also in our library 6 more works of theirs are in our library without a page here yet; they will appear as we publish them. ## Co-authors here 1 co-author with a page, the most papers together first. - [Mark Steedman](https://md.research.elamur.ai/free/en/authors/mark-steedman/) ## Cited by Papers of our library cite their works 512 times (of the 140,884 papers whose bibliographies we read); [46 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/julia-hockenmaier/cited-by/).