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» Identifying Generic Noun Phrases
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TREC
2004
13 years 8 months ago
UIC at TREC 2004: Robust Track
In TREC 2004, the Database and Information System Lab (DBIS) at University of Illinois at Chicago (UIC) participates in the robust track, which is a traditional ad hoc retrieval t...
Shuang Liu, Chaojing Sun, Clement T. Yu
ACL
2009
13 years 5 months ago
Discriminative Approach to Predicate-Argument Structure Analysis with Zero-Anaphora Resolution
This paper presents a predicate-argument structure analysis that simultaneously conducts zero-anaphora resolution. By adding noun phrases as candidate arguments that are not only ...
Kenji Imamura, Kuniko Saito, Tomoko Izumi
TSD
2010
Springer
13 years 5 months ago
Improving Automatic Image Captioning Using Text Summarization Techniques
This paper presents two different approaches to automatic captioning of geo-tagged images by summarizing multiple web-documents that contain information related to an image’s lo...
Laura Plaza, Elena Lloret, Ahmet Aker
SIGIR
2004
ACM
14 years 24 days ago
An effective approach to document retrieval via utilizing WordNet and recognizing phrases
Noun phrases in queries are identified and classified into four types: proper names, dictionary phrases, simple phrases and complex phrases. A document has a phrase if all content...
Shuang Liu, Fang Liu, Clement T. Yu, Weiyi Meng
ACL
2011
12 years 11 months ago
Peeling Back the Layers: Detecting Event Role Fillers in Secondary Contexts
The goal of our research is to improve event extraction by learning to identify secondary role filler contexts in the absence of event keywords. We propose a multilayered event e...
Ruihong Huang, Ellen Riloff