-
1
-
-
0000010581
-
Spread of activation
-
Anderson, J., and Pirolli, P. 1984. Spread of activation. Journal of Experimental Psychology: Learning, Memory, and Cognition 10:791-799.
-
(1984)
Journal of Experimental Psychology: Learning, Memory, and Cognition
, vol.10
, pp. 791-799
-
-
Anderson, J.1
Pirolli, P.2
-
2
-
-
71349088033
-
Dbpedia - A crystallization point for the web of data
-
Bizer, C.; Jens, L.; Kobilarov, G.; Auer, S.; Becker, C.; Cy- ganiak, R.; and Hellmann, S. 2009. Dbpedia - A crystallization point for the web of data. Web Semantics: Science, Services and Agents on the World Wide Web 7(3): 154-165.
-
(2009)
Web Semantics: Science, Services and Agents on the World Wide Web
, vol.7
, Issue.3
, pp. 154-165
-
-
Bizer, C.1
Jens, L.2
Kobilarov, G.3
Auer, S.4
Becker, C.5
Cy- Ganiak, R.6
Hellmann, S.7
-
3
-
-
57149137628
-
Freebase: A collaboratively created graph database for structuring human knowledge
-
Bollacker, K.; Evans, C.; Paritosh, P.; Sturge, T.; and Taylor, J. 2008. Freebase: A collaboratively created graph database for structuring human knowledge. In SIGMOD, 1247-1250.
-
(2008)
SIGMOD
, pp. 1247-1250
-
-
Bollacker, K.1
Evans, C.2
Paritosh, P.3
Sturge, T.4
Taylor, J.5
-
4
-
-
84861198619
-
-
Dordrecht, Netherlands: Springer
-
Cambria, E., and Hussain, A. 2012. Sentic Computing: Techniques, Tools, and Applications. Dordrecht, Netherlands: Springer.
-
(2012)
Sentic Computing: Techniques, Tools, and Applications
-
-
Cambria, E.1
Hussain, A.2
-
5
-
-
84899050913
-
Jumping NLP curves: A review of natural language processing research
-
Cambria, E., and White, B. 2014. Jumping NLP curves: A review of natural language processing research. IEEE Computational Intelligence Magazine 9(2):48-57.
-
(2014)
IEEE Computational Intelligence Magazine
, vol.9
, Issue.2
, pp. 48-57
-
-
Cambria, E.1
White, B.2
-
6
-
-
84868296994
-
Sentic activation: A two-level affective common sense reasoning framework
-
Cambria, E.; Olsher, D.; and Kwok, K. 2012. Sentic activation: A two-level affective common sense reasoning framework. In AAAI, 186-192.
-
(2012)
AAAI
, pp. 186-192
-
-
Cambria, E.1
Olsher, D.2
Kwok, K.3
-
7
-
-
77958549525
-
Toward an architecture for never- ending language learning
-
Carlson, A.; Betteridge, J.; Kisiel, B.; Settles, B.; Hruschka, E.; and Mitchell, T. 2010. Toward an architecture for never- ending language learning. In AAAI, 1306-1313.
-
(2010)
AAAI
, pp. 1306-1313
-
-
Carlson, A.1
Betteridge, J.2
Kisiel, B.3
Settles, B.4
Hruschka, E.5
Mitchell, T.6
-
8
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm
-
Series B
-
Dempster, A.; Laird, N.; and Rubin, D. 1977. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal statistical Society, Series B 39(1):1-38.
-
(1977)
Journal of the Royal Statistical Society
, vol.39
, Issue.1
, pp. 1-38
-
-
Dempster, A.1
Laird, N.2
Rubin, D.3
-
9
-
-
84884176218
-
Summarizing on-line product and service reviews using aspect rating distributions and language modeling
-
Di Fabbrizio, G.; Aker, A.; and Gaizauskas, R. 2013. Summarizing on-line product and service reviews using aspect rating distributions and language modeling. IEEE Intelligent Systems 28(3):28-37.
-
(2013)
IEEE Intelligent Systems
, vol.28
, Issue.3
, pp. 28-37
-
-
Di Fabbrizio, G.1
Aker, A.2
Gaizauskas, R.3
-
12
-
-
84884180805
-
A language model approach for retrieving product features and opinions from customer reviews
-
Garci'a-Moya, L.; Anaya-Sanchez, H.; and Berlanga- Llavori, R. 2013. A language model approach for retrieving product features and opinions from customer reviews. IEEE Intelligent Systems 28(3): 19-27.
-
(2013)
IEEE Intelligent Systems
, vol.28
, Issue.3
, pp. 19-27
-
-
Garci'a-Moya, L.1
Anaya-Sanchez, H.2
Berlanga- Llavori, R.3
-
13
-
-
44549088088
-
Collective knowledge systems: The social web meets the semantic web
-
Gruber, T. 2007. Collective knowledge systems: The social web meets the semantic web. Web Semantics 6(1):4-13.
-
(2007)
Web Semantics
, vol.6
, Issue.1
, pp. 4-13
-
-
Gruber, T.1
-
14
-
-
84983562849
-
Planning for reasoning with multiple common sense knowledge bases
-
Kuo, Y., and Hsu, J. 2012. Planning for reasoning with multiple common sense knowledge bases. ACM Transactions on Interactive Intelligent Systems 2(3): 1-24.
-
(2012)
ACM Transactions on Interactive Intelligent Systems
, vol.2
, Issue.3
, pp. 1-24
-
-
Kuo, Y.1
Hsu, J.2
-
15
-
-
84988269615
-
A probabilistic generative model for mining cybercriminal networks from online social media
-
Lau, R.; Xia, Y.; and Ye, Y. 2014. A probabilistic generative model for mining cybercriminal networks from online social media. IEEE Computational Intelligence Magazine 9( 1):31-43.
-
(2014)
IEEE Computational Intelligence Magazine
, vol.9
, Issue.1
, pp. 31-43
-
-
Lau, R.1
Xia, Y.2
Ye, Y.3
-
17
-
-
20744458021
-
The automaticity of affect for political leaders, groups, and issues: An experimental test of the hot cognition hypothesis
-
Lodge, M., and Taber, C. 2005. The automaticity of affect for political leaders, groups, and issues: An experimental test of the hot cognition hypothesis. Political Psychology 26(3):455-482.
-
(2005)
Political Psychology
, vol.26
, Issue.3
, pp. 455-482
-
-
Lodge, M.1
Taber, C.2
-
18
-
-
79952276191
-
Part-of-speech tagging from 97% to 100%: Is it time for some linguistics?
-
Gelbukh, A. ed., volume 6608 of Lecture Notes in Computer Science. Springer
-
Manning, C. 2011. Part-of-speech tagging from 97% to 100%: Is it time for some linguistics? In Gelbukh, A., ed., Computational Linguistics and Intelligent Text Processing, volume 6608 of Lecture Notes in Computer Science. Springer. 171-189.
-
(2011)
Computational Linguistics and Intelligent Text Processing
, pp. 171-189
-
-
Manning, C.1
-
19
-
-
84886676107
-
Cog view & intelnet: Nuanced energy-based knowledge representation and integrated cognitive-conceptual framework for realistic culture, values, and concept-affected systems simulation
-
Olsher, D. 2013. COGVIEW & INTELNET: Nu- Anced energy-based knowledge representation and integrated cognitive-conceptual framework for realistic culture, values, and concept-affected systems simulation. In IEEE SSCI, 82-91.
-
(2013)
IEEE SSCI
, pp. 82-91
-
-
Olsher, D.1
-
20
-
-
84906098361
-
Semantically-based priors and nuanced knowledge core for big data, social AI, and language understanding
-
Olsher, D. 2014. Semantically-based priors and nuanced knowledge core for big data, social AI, and language understanding. Neural Networks.
-
(2014)
Neural Networks
-
-
Olsher, D.1
-
21
-
-
84976754255
-
Another stemmer
-
Paice, C. 1990. Another stemmer. SIGIR Forum 24:56-61.
-
(1990)
SIGIR Forum
, vol.24
, pp. 56-61
-
-
Paice, C.1
-
22
-
-
84898734877
-
Enhanced senticnet with affective labels for concept-based opinion mining
-
Poria, S.; Gelbukh, A.; Hussain, A.; Howard, N.; Das, D.; and Bandyopadhyay, S. 2013. Enhanced SenticNet with affective labels for concept-based opinion mining. IEEE Intelligent Systems 28(2):31-38.
-
(2013)
IEEE Intelligent Systems
, vol.28
, Issue.2
, pp. 31-38
-
-
Poria, S.1
Gelbukh, A.2
Hussain, A.3
Howard, N.4
Das, D.5
Bandyopadhyay, S.6
-
23
-
-
84890783137
-
Commonsense-based topic modeling
-
ACM
-
Rajagopal, D.; Olsher, D.; Cambria, E.; and Kwok, K. 2013. Commonsense-based topic modeling. In Proceedings, KDD WISDOM, 6. ACM.
-
(2013)
Proceedings, KDD WISDOM
, pp. 6
-
-
Rajagopal, D.1
Olsher, D.2
Cambria, E.3
Kwok, K.4
-
24
-
-
84891600961
-
Semi-supervised polarity lexicon induction
-
Rao, D., and Ravichandran, D. 2009. Semi-supervised polarity lexicon induction. In EACL, 675-682.
-
(2009)
EACL
, pp. 675-682
-
-
Rao, D.1
Ravichandran, D.2
-
27
-
-
85029531951
-
Wordnet-affect: An affective extension of word net
-
Strapparava, C., and Valitutti, A. 2004. WordNet-Affect: An affective extension of Word Net. In LREC, 1083-1086.
-
(2004)
LREC
, pp. 1083-1086
-
-
Strapparava, C.1
Valitutti, A.2
-
28
-
-
35148867982
-
Yago: A core of semantic knowledge
-
Suchanek, F.; Kasneci, G.; and Weikum, G. 2007. Yago: A core of semantic knowledge. In WWW, 697-706.
-
(2007)
WWW
, pp. 697-706
-
-
Suchanek, F.1
Kasneci, G.2
Weikum, G.3
-
29
-
-
84880175617
-
Building a concept- level sentiment dictionary based on commonsense knowledge
-
Tsai, A.; Tsai, R.; and Hsu, J. 2013. Building a concept- level sentiment dictionary based on commonsense knowledge. IEEE Intelligent Systems 28(2):22-30.
-
(2013)
IEEE Intelligent Systems
, vol.28
, Issue.2
, pp. 22-30
-
-
Tsai, A.1
Tsai, R.2
Hsu, J.3
-
30
-
-
84880153929
-
Extracting and grounding context-aware sentiment lexicons
-
Weichselbraun, A.; Gindl, S.; and Scharl, A. 2013. Extracting and grounding context-aware sentiment lexicons. IEEE Intelligent Systems 28(2):39-46.
-
(2013)
IEEE Intelligent Systems
, vol.28
, Issue.2
, pp. 39-46
-
-
Weichselbraun, A.1
Gindl, S.2
Scharl, A.3
-
31
-
-
0036870050
-
Implications of developments in cognitive neuroscience for psychoanalytic psychotherapy
-
Westen, D. 2002. Implications of developments in cognitive neuroscience for psychoanalytic psychotherapy. Harv Rev Psychiatry 10(6):369-73.
-
(2002)
Harv Rev Psychiatry
, vol.10
, Issue.6
, pp. 369-373
-
-
Westen, D.1
-
32
-
-
33644632271
-
Annotating expressions of opinions and emotions in language
-
Wiebe, J.; Wilson, T.; and Cardie, C. 2005. Annotating expressions of opinions and emotions in language. Language Resources and Evaluation 39(2): 165-210.
-
(2005)
Language Resources and Evaluation
, vol.39
, Issue.2
, pp. 165-210
-
-
Wiebe, J.1
Wilson, T.2
Cardie, C.3
-
33
-
-
84862653732
-
Probase: A probabilistic taxonomy for text understanding
-
Wu, W.; Li, H.; Wang, H.; and Zhu, K. 2012. Probase: A probabilistic taxonomy for text understanding. In SIGMOD, 481-492.
-
(2012)
SIGMOD
, pp. 481-492
-
-
Wu, W.1
Li, H.2
Wang, H.3
Zhu, K.4
-
34
-
-
84884134119
-
Feature ensemble plus sample selection: A comprehensive approach to domain adaptation for sentiment classification
-
Xia, R.; Zong, C.; Hu, X.; and Cambria, E. 2013. Feature ensemble plus sample selection: A comprehensive approach to domain adaptation for sentiment classification. IEEE Intelligent Systems 28(3): 10-18.
-
(2013)
IEEE Intelligent Systems
, vol.28
, Issue.3
, pp. 10-18
-
-
Xia, R.1
Zong, C.2
Hu, X.3
Cambria, E.4
|