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ACL
2012
11 years 11 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
DCC
2006
IEEE
14 years 8 months ago
Data Compression with Restricted Parsings
We consider a class of algorithms related to Lempel-Ziv that incorporate restrictions on the manner in which the data can be parsed with the goal of introducing new tradeoffs betwe...
John T. Robinson, Luis Alfonso Lastras-Monta&ntild...
ACL
2010
13 years 6 months ago
Hierarchical Joint Learning: Improving Joint Parsing and Named Entity Recognition with Non-Jointly Labeled Data
One of the main obstacles to producing high quality joint models is the lack of jointly annotated data. Joint modeling of multiple natural language processing tasks outperforms si...
Jenny Rose Finkel, Christopher D. Manning
DAARC
2007
Springer
87views Algorithms» more  DAARC 2007»
14 years 3 months ago
Using Very Large Parsed Corpora and Judgment Data to Classify Verb Reflexivity
Erik-Jan Smits, Petra Hendriks, Jennifer Spenader