-
1
-
-
0033905095
-
Boostexter: A boosting-based system for text categorization
-
R. E. Schapire and Y. Singer, "Boostexter: A boosting-based system for text categorization," Machine Learning, vol. 39, no. 2/3, pp. 135-168, 2000.
-
(2000)
Machine Learning
, vol.39
, Issue.2-3
, pp. 135-168
-
-
Schapire, R.E.1
Singer, Y.2
-
3
-
-
0142192295
-
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
-
J. Lafferty, A. Mccallum, and F. Pereira, "Conditional random fields: Probabilistic models for segmenting and labeling sequence data," in ICML, 2001.
-
(2001)
ICML
-
-
Lafferty, J.1
McCallum, A.2
Pereira, F.3
-
4
-
-
34047192804
-
Semi-markov conditional random fields for information extraction
-
S. Sarawagi and W. W. Cohen, "Semi-markov conditional random fields for information extraction," in NIPS, 2004.
-
(2004)
NIPS
-
-
Sarawagi, S.1
Cohen, W.W.2
-
5
-
-
83055166037
-
Understanding the semantic structure of noun phrase queries
-
X. Li, "Understanding the semantic structure of noun phrase queries," in ACL, 2010.
-
(2010)
ACL
-
-
Li, X.1
-
6
-
-
12244298488
-
Mining reference tables for automatic text segmentation
-
E. Agichtein and V. Ganti, "Mining reference tables for automatic text segmentation," in KDD, 2004, pp. 20-29.
-
(2004)
KDD
, pp. 20-29
-
-
Agichtein, E.1
Ganti, V.2
-
7
-
-
79952389300
-
Bootstrapping information extraction from field books
-
S. Canisius and C. Sporleder, "Bootstrapping information extraction from field books," in EMNLP, 2007, pp. 827-836.
-
(2007)
EMNLP
, pp. 827-836
-
-
Canisius, S.1
Sporleder, C.2
-
8
-
-
1142276294
-
Detecting and extracting named entities from spontaneous speech in a mixed-initiative spoken dialogue context: How May i Help You?
-
F. Bechet et al., "Detecting and extracting named entities from spontaneous speech in a mixed-initiative spoken dialogue context: How May I Help You?" Speech Communication, vol. 42, no. 2, 2003.
-
(2003)
Speech Communication
, vol.42
, Issue.2
-
-
Bechet, F.1
-
9
-
-
84859892286
-
Weakly-supervised acquisition of open-domain classes and attributes from web documents and query logs
-
M. Pasca and B. V. Durme, "Weakly-supervised acquisition of open-domain classes and attributes from web documents and query logs," in ACL, 2008.
-
(2008)
ACL
-
-
Pasca, M.1
Durme, B.V.2
-
10
-
-
74549207526
-
Semi-supervised learning of semantic classes for query understanding
-
Y.Wang, R. Hoffmann, X. Li, and J. Szymanski, "Semi-supervised learning of semantic classes for query understanding," in CIKM, 2009.
-
(2009)
CIKM
-
-
Wang, Y.1
Hoffmann, R.2
Li, X.3
Szymanski, J.4
-
11
-
-
72449184564
-
Extracting structured information from user queries with semi-supervised conditional random fields
-
X. Li, Y.Wang, and A. Acero, "Extracting structured information from user queries with semi-supervised conditional random fields," in SIGIR, 2009.
-
(2009)
SIGIR
-
-
Li, X.1
Wang, Y.2
Acero, A.3
-
12
-
-
80051641581
-
Lexicon modeling for query understanding
-
J. Liu, X. Li, A. Acero, and Y. Wang, "Lexicon modeling for query understanding," in ICASSP, 2011.
-
(2011)
ICASSP
-
-
Liu, J.1
Li, X.2
Acero, A.3
Wang, Y.4
-
13
-
-
79952410908
-
Result enrichment in commerce search using browse trails
-
D. Panigrahi and S. Gollapudi, "Result enrichment in commerce search using browse trails," in WSDM, 2011.
-
(2011)
WSDM
-
-
Panigrahi, D.1
Gollapudi, S.2
-
14
-
-
36448966738
-
Random walks on the click graph
-
N. Craswell and M. Szummer, "Random walks on the click graph," in SIGIR, 2007.
-
(2007)
SIGIR
-
-
Craswell, N.1
Szummer, M.2
-
15
-
-
74549172077
-
A collaborative filtering approach to ad recommendation using the query ad click graph
-
T. Anastasakos et al., "A collaborative filtering approach to ad recommendation using the query ad click graph," in CIKM, 2009.
-
(2009)
CIKM
-
-
Anastasakos, T.1
|