Martin Volk

2 paper cards in Mova's library · 2002–2006

Martin Volk wrote 2 of the papers Mova reads, in 2002–2006, most of them on Treebanks.

The profile is the library's match of the name; two people with one name are not always told apart.

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… · 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… · always-noun floor reported with every PP score: 48.67 on EWT dev (of 95.36, other prepositions 37.93); commit 35e51ff1b)

How Bad is the Problem of PP-Attachment? A Comparison of English, German and Swedish (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…
Combining Unsupervised and Supervised Methods for PP Attachment Disambiguation (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…