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» The Impact of Task and Corpus on Event Extraction Systems
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ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
14 years 1 months ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...
TASLP
2008
101views more  TASLP 2008»
13 years 6 months ago
Speaker Identification Using Instantaneous Frequencies
This work presents an experimental evaluation of different features for use in speaker identification. The features are tested using speech data provided by the CHAINS corpus, in a...
Marco Grimaldi, Fred Cummins
CIKM
2003
Springer
13 years 12 months ago
Multi-resolution disambiguation of term occurrences
We describe a system for extracting mentions of terms such as company and product names, in a large and noisy corpus of documents, such as the World Wide Web. Since natural langua...
Einat Amitay, Rani Nelken, Wayne Niblack, Ron Siva...
ACL
2010
13 years 4 months ago
Using Anaphora Resolution to Improve Opinion Target Identification in Movie Reviews
Current work on automatic opinion mining has ignored opinion targets expressed by anaphorical pronouns, thereby missing a significant number of opinion targets. In this paper we e...
Niklas Jakob, Iryna Gurevych
EMNLP
2009
13 years 4 months ago
It's Not You, it's Me: Detecting Flirting and its Misperception in Speed-Dates
Automatically detecting human social intentions from spoken conversation is an important task for dialogue understanding. Since the social intentions of the speaker may differ fro...
Rajesh Ranganath, Dan Jurafsky, Dan McFarland