Current statistical parsers tend to perform well only on their training domain and nearby genres. While strong performance on a few related domains is sufficient for many situatio...
This paper investigates using prosodic information in the form of ToBI break indexes for parsing spontaneous speech. We revisit two previously studied approaches, one that hurt pa...
It is well known that parsing accuracies drop significantly on out-of-domain data. What is less known is that some parsers suffer more from domain shifts than others. We show that...
Slav Petrov, Pi-Chuan Chang, Michael Ringgaard, Hi...
We propose a novel self-training method for a parser which uses a lexicalised grammar and supertagger, focusing on increasing the speed of the parser rather than its accuracy. The...
Jonathan K. Kummerfeld, Jessika Roesner, Tim Dawbo...
Abstract. Maltparser is a contemporary dependency parsing machine learningbased system that shows great accuracy. However 90% for Labelled Attachment Score (LAS) seems to be a de f...
Parsing Expression Grammar (PEG) is a new way to specify syntax, by means of a top-down process with limited backtracking. It can be directly transcribed into a recursive-descent ...
We propose a parser for constraintlogic grammars implementing HPSG that combines the advantages of dynamic bottom-up and advanced topdown control. The parser allows the user to ap...
This paper describes a partial parser that assigns syntactic structures to sequences of partof-speech tags. The program uses the maximum entropy parameter estimation method, which...
With the rapid growth of real world applications for NLP systems, there is a genuine demand for a general toolkit from which programmers with no linguistic knowledge can build spe...
Hassan Alam, Hua Cheng, Rachmat Hartono, Aman Kuma...
Disfluencies include editing terms such as uh and um as well as repeats and revisions. Little is known about how disfluencies are processed, and there has been next to no research...
Fernanda Ferreira, Ellen F. Lau, Karl G. D. Bailey