--- title: "David McClosky — papers and cards" description: "David McClosky: 2 paper cards in the Research library (2006), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/david-mcclosky/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/david-mcclosky/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / David McClosky # David McClosky 2 paper cards in the Research library · 2006 David McClosky wrote 2 of the papers Mova reads, in 2006; often with [Eugene Charniak](https://md.research.elamur.ai/free/en/authors/eugene-charniak/), [Mark Johnson](https://md.research.elamur.ai/free/en/authors/mark-johnson/). [OpenAlex](https://openalex.org/A5029071304) · [ORCID](https://orcid.org/0009-0005-8897-0793) · [**h-index 19**](https://openalex.org/authors/A5029071304) · [9213 citations](https://openalex.org/authors/A5029071304) · [47 works](https://openalex.org/works?filter=author.id:A5029071304) — 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=David+McClosky) · [Semantic Scholar](https://www.semanticscholar.org/search?q=David+McClosky) · [dblp](https://dblp.org/search?q=David+McClosky) · [ACL Anthology](https://aclanthology.org/search/?q=David+McClosky) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=David+McClosky) ## Papers 1. **[Effective Self-Training for Parsing](https://md.research.elamur.ai/free/en/papers/aclbulk-2006-mcclosky-effective-self-training-parsing/)** *(2006)* Self-training of parsers was thought to fail because the parser's own errors are amplified. This paper shows that it works when the self-labelled trees come from a two-stage parser and reranker: the 50-best parses of 24 million unlabelled News sentences are reranked, and the reranker's best tree is added to the Wall… 2. **[Reranking and Self-Training for Parser Adaptation](https://md.research.elamur.ai/free/en/papers/aclbulk-2006-mcclosky-reranking-self-training-parser-adaptation/)** *(2006)* Parsers trained on the Wall Street Journal lose much accuracy on other genres: the standard parser scores 89.7% on WSJ but only 82.9% on the Brown corpus. ## Co-authors (2) - [Eugene Charniak](https://md.research.elamur.ai/free/en/authors/eugene-charniak/) ×2 - [Mark Johnson](https://md.research.elamur.ai/free/en/authors/mark-johnson/) ×2 ## More papers in the library (2) Pages of the Research library: our summary, the ideas, references and who cites each. - [The Role of Context Types and Dimensionality in Learning Word Embeddings](https://md.research.elamur.ai/free/en/papers/melamud-2016-role-context-types-dimensionality-learning/) — Oren Melamud, David McClosky, Siddharth Patwardhan, et al. · 2016 - [The Stanford CoreNLP Natural Language Processing Toolkit](https://md.research.elamur.ai/free/en/papers/manning-2014-stanford-corenlp-natural-language-processing/) — Christopher Manning, Mihai Surdeanu, John Bauer, et al. · 2014