EMNLP
2011
13 years 14 days ago
2011
We present a simple method for transferring dependency parsers from source languages with labeled training data to target languages without labeled training data. We first demons...
ACL
2011
13 years 4 months ago
2011
Dependency parsing is a central NLP task. In this paper we show that the common evaluation for unsupervised dependency parsing is highly sensitive to problematic annotations. We s...
COLING
2010
13 years 7 months ago
2010
We evaluate two dependency parsers, MSTParser and MaltParser, with respect to their capacity to recover unbounded dependencies in English, a type of evaluation that has been appli...
COLING
2010
13 years 7 months ago
2010
Martins et al. (2008) presented what to the best of our knowledge still ranks as the best overall result on the CONLLX Shared Task datasets. The paper shows how triads of stacked ...
EMNLP
2010
13 years 10 months ago
2010
We present a new syntactic parser that works left-to-right and top down, thus maintaining a fully-connected parse tree for a few alternative parse hypotheses. All of the commonly ...
EMNLP
2009
13 years 10 months ago
2009
This paper introduces a new parser evaluation corpus containing around 700 sentences annotated with unbounded dependencies, from seven different grammatical constructions. We run ...
NAACL
2010
13 years 10 months ago
2010
The Brown and the Berkeley parsers are two state-of-the-art generative parsers. Since both parsers produce n-best lists, it is possible to apply reranking techniques to the output...
ACL
2010
13 years 10 months ago
2010
We present a simple but accurate parser which exploits both large tree fragments and symbol refinement. We parse with all fragments of the training set, in contrast to much recent...
ACL
2010
13 years 10 months ago
2010
Incremental parsing techniques such as shift-reduce have gained popularity thanks to their efficiency, but there remains a major problem: the search is greedy and only explores a ...
TCS
2010
13 years 11 months ago
2010
Robustness, the ability to analyze any input regardless of its grammaticality, is a desirable property for any system dealing with unrestricted natural language text. Error-repair...