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ACL
2010
15 years 26 days 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
160
Voted
CORR
2011
Springer
160views Education» more  CORR 2011»
14 years 10 months ago
Provenance for Aggregate Queries
We study in this paper provenance information for queries with aggregation. Provenance information was studied in the context of various query languages that do not allow for aggr...
Yael Amsterdamer, Daniel Deutch, Val Tannen
116
Voted
COLING
2010
14 years 10 months ago
Joint Tokenization and Translation
As tokenization is usually ambiguous for many natural languages such as Chinese and Korean, tokenization errors might potentially introduce translation mistakes for translation sy...
Xinyan Xiao, Yang Liu, Young-Sook Hwang, Qun Liu, ...
112
Voted
INTERSPEECH
2010
14 years 10 months ago
Rhythm and formant features for automatic alcohol detection
Two speech feature sets, RMS rhythmicity and formant frequencies F1-F4, are analyzed for their ability to distinguish alcoholized from sober speech. We describe the statistical fr...
Florian Schiel, Christian Heinrich, Veronika Neume...
SIGMOD
2003
ACM
115views Database» more  SIGMOD 2003»
16 years 3 months ago
Querying Structured Text in an XML Database
XML databases often contain documents comprising structured text. Therefore, it is important to integrate "information retrieval style" query evaluation, which is well-s...
Shurug Al-Khalifa, Cong Yu, H. V. Jagadish