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» Mining Causality from Texts for Question Answering System
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IJCNLP
2005
Springer
14 years 2 months ago
CTEMP: A Chinese Temporal Parser for Extracting and Normalizing Temporal Information
Temporal information is useful in many NLP applications, such as information extraction, question answering and summarization. In this paper, we present a temporal parser for extra...
Mingli Wu, Wenjie Li, Qin Lu, Baoli Li
KDD
2003
ACM
157views Data Mining» more  KDD 2003»
14 years 9 months ago
Cross-training: learning probabilistic mappings between topics
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godb...
ICDM
2010
IEEE
109views Data Mining» more  ICDM 2010»
13 years 6 months ago
Term Filtering with Bounded Error
Abstract--In this paper, we consider a novel problem referred to as term filtering with bounded error to reduce the term (feature) space by eliminating terms without (or with bound...
Zi Yang, Wei Li, Jie Tang, Juanzi Li
MSR
2006
ACM
14 years 2 months ago
Using software birthmarks to identify similar classes and major functionalities
Software birthmarks are unique and native characteristics of every software component. Two components having similar birthmarks indicate that they are similar in functionality, st...
Takeshi Kakimoto, Akito Monden, Yasutaka Kamei, Ha...
JCDL
2004
ACM
198views Education» more  JCDL 2004»
14 years 2 months ago
Finding authoritative people from the web
Today’s web is so huge and diverse that it arguably reflects the real world. For this reason, searching the web is a promising approach to find things in the real world. This ...
Masanori Harada, Shin-ya Sato, Kazuhiro Kazama