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» A Weighted Robust Parsing Approach to Semantic Annotation
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IWPC
2003
IEEE
14 years 8 days ago
An XML-Based Lightweight C++ Fact Extractor
A lightweight fact extractor is presented that utilizes XML tools, such as XPath and XSLT, to extract static information from C++ source code programs. The source code is first co...
Michael L. Collard, Huzefa H. Kagdi, Jonathan I. M...
EMNLP
2010
13 years 5 months ago
Automatic Detection and Classification of Social Events
In this paper we introduce the new task of social event extraction from text. We distinguish two broad types of social events depending on whether only one or both parties are awa...
Apoorv Agarwal, Owen Rambow
AAAI
2012
11 years 9 months ago
A Testbed for Learning by Demonstration from Natural Language and RGB-Depth Video
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
Young Chol Song, Henry A. Kautz
ACL
2011
12 years 10 months ago
Learning Word Vectors for Sentiment Analysis
Unsupervised vector-based approaches to semantics can model rich lexical meanings, but they largely fail to capture sentiment information that is central to many word meanings and...
Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Da...
IVC
2008
69views more  IVC 2008»
13 years 6 months ago
Unsupervised texture classification: Automatically discover and classify texture patterns
In this paper, we present a novel approach to classify texture collections. This approach does not require experts to provide annotated training set. Given the image collection, w...
Lei Qin, Qingfang Zheng, Shuqiang Jiang, Qingming ...