---
title: "Martin Volk — papers and cards"
description: "Martin Volk: 2 paper cards in the Research library (2002–2006), with what each paper is about, the ideas Mova took from it, and the co-authors."
canonical: "https://research.elamur.ai/free/en/authors/martin-volk/"
---
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# Martin Volk

2 paper cards in the Research library · 2002–2006

Martin Volk wrote 2 of the papers Mova reads, in 2002–2006, most of them on [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/).

[OpenAlex](https://openalex.org/A5055769728) · [ORCID](https://orcid.org/0000-0002-2063-4516) · [**h-index 23**](https://openalex.org/authors/A5055769728) · [1919 citations](https://openalex.org/authors/A5055769728) · [181 works](https://openalex.org/works?filter=author.id:A5055769728) — 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=Martin+Volk) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Martin+Volk) · [dblp](https://dblp.org/search?q=Martin+Volk) · [ACL Anthology](https://aclanthology.org/search/?q=Martin+Volk) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Martin+Volk)

Topics: [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/) 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** — Test the "of" effect: report PP attachment accuracy for of phrases and for the rest in en parse-eval. The paper says of is almost always a noun attachment, so a rule for of is the baseline the rest must beat. Measure on EWT test. *([How Bad is the Problem of PP-Attachment? A Comparison of…](https://md.research.elamur.ai/free/en/papers/aclbulk-2006-volk-how-bad-is-problem-pp/) · of-PPs: parser 87.42 (missed = error) / 97.06 (discarded) vs the rule of -> noun 95.36; commit 35e51ff1b)*
- **kept** — Floor before model: compute the majority-attachment rate per treebank and report it with every PP score, so that a parser's accuracy is read against it, not against 50%. *([How Bad is the Problem of PP-Attachment? A Comparison of…](https://md.research.elamur.ai/free/en/papers/aclbulk-2006-volk-how-bad-is-problem-pp/) · always-noun floor reported with every PP score: 48.67 on EWT dev (of 95.36, other prepositions 37.93); commit 35e51ff1b)*

## Papers

1. **[How Bad is the Problem of PP-Attachment? A Comparison of English, German and Swedish](https://md.research.elamur.ai/free/en/papers/aclbulk-2006-volk-how-bad-is-problem-pp/)** *(2006)* `2 ideas kept` The paper asks whether PP attachment results can be compared across languages at all. It queries treebanks with TIGER-Search for every noun followed by a PP, and counts how many of these PPs attach to the noun, the noun attachment rate (NAR). For English, sections 0 to 12 of the Wall Street Journal Penn Treebank give…
2. **[Combining Unsupervised and Supervised Methods for PP Attachment Disambiguation](https://md.research.elamur.ai/free/en/papers/aclbulk-2002-volk-combining-unsupervised-supervised-methods-pp/)** *(2002)* The paper asks what to do when only a small treebank exists for prepositional phrase (PP) attachment. The data are German: 10,000 NEGRA sentences give the supervised examples, and about 5.5 million words of a computer magazine give raw co-occurrence counts. A cascade of count rules, with a noun factor of 5.47 or 5.97…

## More papers in the library (1)

Pages of the Research library: our summary, the ideas, references and who cites each.

- [Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation](https://md.research.elamur.ai/free/en/papers/laubli-2018-has-machine-translation-achieved-human/) — Samuel Läubli, Rico Sennrich, Martin Volk · 2018
