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ACL
2000
13 years 9 months ago
Automatic Labeling of Semantic Roles
e, the system labels constituents with either abstract semantic roles such as AGENT or PATIENT, or more domain-specific semantic roles such as SPEAKER, MESSAGE, and TOPIC. The syst...
Daniel Gildea, Daniel Jurafsky
NAACL
2004
13 years 9 months ago
A Statistical Model for Multilingual Entity Detection and Tracking
Entity detection and tracking is a relatively new addition to the repertoire of natural language tasks. In this paper, we present a statistical language-independent framework for ...
Radu Florian, Hany Hassan, Abraham Ittycheriah, Ho...
ICDE
2005
IEEE
128views Database» more  ICDE 2005»
14 years 9 months ago
Exploiting Correlated Attributes in Acquisitional Query Processing
Sensor networks and other distributed information systems (such as the Web) must frequently access data that has a high per-attribute acquisition cost, in terms of energy, latency...
Amol Deshpande, Carlos Guestrin, Wei Hong, Samuel ...
GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
14 years 22 days ago
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
Lourdes Araujo
LREC
2010
234views Education» more  LREC 2010»
13 years 9 months ago
Building an Italian FrameNet through Semi-automatic Corpus Analysis
In this paper, we outline the methodology we adopted to develop a FrameNet for Italian. The main element of novelty with respect to the original FrameNet is represented by the fac...
Alessandro Lenci, Martina Johnson, Gabriella Lapes...