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ACL
1996
13 years 6 months ago
A New Statistical Parser Based on Bigram Lexical Dependencies
This paper describes a new statistical parser which is based on probabilities of dependencies between head-words in the parse tree. Standard bigram probability estimation techniqu...
Michael Collins
EMNLP
2004
13 years 6 months ago
Object-Extraction and Question-Parsing using CCG
Accurate dependency recovery has recently been reported for a number of wide-coverage statistical parsers using Combinatory Categorial Grammar (CCG). However, overall figures give...
Stephen Clark, Mark Steedman, James R. Curran
COLING
2010
12 years 11 months ago
Benchmarking of Statistical Dependency Parsers for French
We compare the performance of three statistical parsing architectures on the problem of deriving typed dependency structures for French. The architectures are based on PCFGs with ...
Marie Candito, Joakim Nivre, Pascal Denis, Enrique...
ACL
2012
11 years 7 months ago
Attacking Parsing Bottlenecks with Unlabeled Data and Relevant Factorizations
Prepositions and conjunctions are two of the largest remaining bottlenecks in parsing. Across various existing parsers, these two categories have the lowest accuracies, and mistak...
Emily Pitler
ACL
2004
13 years 6 months ago
Deep Dependencies from Context-Free Statistical Parsers: Correcting the Surface Dependency Approximation
We present a linguistically-motivated algorithm for reconstructing nonlocal dependency in broad-coverage context-free parse trees derived from treebanks. We use an algorithm based...
Roger Levy, Christopher D. Manning