Matthew Honnibal

5 paper cards in Mova's library · 2009–2015

Matthew Honnibal wrote 5 of the papers Mova reads, in 2009–2015, most of them on Dependency parsing, Part-of-speech tagging; often with James R. Curran, Mark Johnson, Joel Nothman.

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

Papers

An Improved Non-monotonic Transition System for Dependency Parsing (2015)
Greedy transition parsers usually commit to every attachment as soon as it is made, which traps them in garden paths.
A Good Part-of-Speech Tagger in about 200 Lines of Python (2013)
This article is a practical walkthrough of how to build a fast, accurate part-of-speech tagger with very little code.
A Non-Monotonic Arc-Eager Transition System for Dependency Parsing (2013)
The paper relaxes the two deterministic constraints of the arc-eager transition system, which keep each step consistent with earlier head decisions.
Morphological Analysis Can Improve a CCG Parser for English (2010)
The authors test whether English verb morphology, which is poor, still helps a lexicalised parser. In Combinatory Categorial Grammar the verb category often encodes both its argument structure and its inflection, so each verb form gets its own category. The paper splits the inflectional suffix (-s, -ed, -ing and so…
Evaluating a Statistical CCG Parser on Wikipedia (2009)
The authors ask how well a statistical CCG parser (C&C) works on Wikipedia text. They hand-label 200 random sentences, which took about 20 hours. Accuracy is 4.3% lower than on newswire, and the parser is 54% slower. Self-training on Simple English Wikipedia raises accuracy on Wikipedia by 0.8% and narrows the gap to…