-
1
-
-
84883414766
-
Identifying justifications in written dialogs by classifying text as argumentative
-
Or Biran and Owen Rambow. 2011. Identifying Justifications in Written Dialogs by Classifying Text as Argumentative. Int. J. Semantic Computing, 5(4):363-381.
-
(2011)
Int. J. Semantic Computing
, vol.5
, Issue.4
, pp. 363-381
-
-
Biran, O.1
Rambow, O.2
-
3
-
-
0030211964
-
Bagging predictors
-
August
-
L. Breiman. 1996. Bagging predictors. Machine Learning, 24(2):123-140, August.
-
(1996)
Machine Learning
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
8
-
-
4043082208
-
Head-driven statistical models for natural language parsing
-
December
-
M. Collins. 2003. Head-Driven Statistical Models for Natural Language Parsing. Computational Linguistics, 29(4):589-637, December.
-
(2003)
Computational Linguistics
, vol.29
, Issue.4
, pp. 589-637
-
-
Collins, M.1
-
11
-
-
72449211489
-
Efficient, feature-based, conditional random field parsing
-
Columbus, Ohio, USA. ACL
-
J. Finkel, A. Kleeman, and C. Manning. 2008. Efficient, Feature-based, Conditional Random Field Parsing. In Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics, pages 959-967, Columbus, Ohio, USA. ACL.
-
(2008)
Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics
, pp. 959-967
-
-
Finkel, J.1
Kleeman, A.2
Manning, C.3
-
13
-
-
84866613591
-
Shallow discourse parsing with conditional random fields
-
Chiang Mai, Thailand. AFNLP
-
S. Ghosh, R. Johansson, G. Riccardi, and S. Tonelli. 2011. Shallow Discourse Parsing with Conditional Random Fields. In Proceedings of the 5th International Joint Conference on Natural Language Processing, pages 1071-1079, Chiang Mai, Thailand. AFNLP.
-
(2011)
Proceedings of the 5th International Joint Conference on Natural Language Processing
, pp. 1071-1079
-
-
Ghosh, S.1
Johansson, R.2
Riccardi, G.3
Tonelli, S.4
-
14
-
-
84856495537
-
HILDA: A discourse parser using support vector machine classification
-
H. Hernault, H. Prendinger, D. duVerle, and M. Ishizuka. 2010. HILDA: A Discourse Parser Using Support Vector Machine Classification. Dialogue and Discourse, 1(3):1-33.
-
(2010)
Dialogue and Discourse
, vol.1
, Issue.3
, pp. 1-33
-
-
Hernault, H.1
Prendinger, H.2
DuVerle, D.3
Ishizuka, M.4
-
16
-
-
84937307713
-
Using linguistic phenomena to motivate a set of coherence relations
-
A. Knott and R. Dale. 1994. Using Linguistic Phenomena to Motivate a Set of Coherence Relations. Discourse Processes, 18(1):35-62.
-
(1994)
Discourse Processes
, vol.18
, Issue.1
, pp. 35-62
-
-
Knott, A.1
Dale, R.2
-
17
-
-
0142192295
-
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
-
San Francisco, CA, USA. Morgan Kaufmann Publishers Inc
-
J. Lafferty, A. McCallum, and F. Pereira. 2001. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. In Proceedings of the Eighteenth International Conference on Machine Learning, pages 282-289, San Francisco, CA, USA. Morgan Kaufmann Publishers Inc.
-
(2001)
Proceedings of the Eighteenth International Conference on Machine Learning
, pp. 282-289
-
-
Lafferty, J.1
McCallum, A.2
Pereira, F.3
-
19
-
-
84961480199
-
Rhetorical structure theory: Toward a functional theory of text organization
-
W. Mann and S. Thompson. 1988. Rhetorical Structure Theory: Toward a Functional Theory of Text Organization. Text, 8(3):243-281.
-
(1988)
Text
, vol.8
, Issue.3
, pp. 243-281
-
-
Mann, W.1
Thompson, S.2
-
20
-
-
0008564632
-
The rhetorical parsing of unrestricted texts: A surface-based approach
-
D. Marcu. 2000a. The Rhetorical Parsing of Unrestricted Texts: A Surface-based Approach. Computational Linguistics, 26:395-448.
-
(2000)
Computational Linguistics
, vol.26
, pp. 395-448
-
-
Marcu, D.1
-
22
-
-
34249852033
-
Building a large annotated corpus of english: The penn treebank
-
M. Marcus, B. Santorini, and M. Marcinkiewicz. 1994. Building a Large Annotated Corpus of English: The Penn Treebank. Computational Linguistics, 19(2):313-330.
-
(1994)
Computational Linguistics
, vol.19
, Issue.2
, pp. 313-330
-
-
Marcus, M.1
Santorini, B.2
Marcinkiewicz, M.3
-
25
-
-
35148850198
-
The penn discourse TreeBank as a resource for natural language generation
-
Birmingham, U.K
-
R. Prasad, A. Joshi, N. Dinesh, A. Lee, E. Miltsakaki, and B. Webber. 2005. The Penn Discourse TreeBank as a Resource for Natural Language Generation. In Proceedings of the Corpus Linguistics Workshop on Using Corpora for Natural Language Generation, pages 25-32, Birmingham, U.K.
-
(2005)
Proceedings of the Corpus Linguistics Workshop on Using Corpora for Natural Language Generation
, pp. 25-32
-
-
Prasad, R.1
Joshi, A.2
Dinesh, N.3
Lee, A.4
Miltsakaki, E.5
Webber, B.6
-
26
-
-
85037060758
-
The penn discourse TreeBank 2.0
-
Marrakech, Morocco. ELRA
-
R. Prasad, N. Dinesh, A. Lee, E. Miltsakaki, L. Robaldo, A. Joshi, and B. Webber. 2008. The Penn Discourse TreeBank 2.0. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC), pages 2961-2968, Marrakech, Morocco. ELRA.
-
(2008)
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC)
, pp. 2961-2968
-
-
Prasad, R.1
Dinesh, N.2
Lee, A.3
Miltsakaki, E.4
Robaldo, L.5
Joshi, A.6
Webber, B.7
-
27
-
-
84986284997
-
Robust discourse parsing via discourse markers, topicality and position
-
June
-
F. Schilder. 2002. Robust Discourse Parsing via Discourse Markers, Topicality and Position. Natural Language Engineering, 8(3):235-255, June.
-
(2002)
Natural Language Engineering
, vol.8
, Issue.3
, pp. 235-255
-
-
Schilder, F.1
-
34
-
-
33947615175
-
Dynamic conditional random fields: Factorized probabilistic models for labeling and segmenting sequence data
-
C. Sutton, A. McCallum, and K. Rohanimanesh. 2007. Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data. Journal of Machine Learning Research (JMLR), 8:693-723.
-
(2007)
Journal of Machine Learning Research (JMLR)
, vol.8
, pp. 693-723
-
-
Sutton, C.1
McCallum, A.2
Rohanimanesh, K.3
-
35
-
-
36448976150
-
Evaluating discourse-based answer extraction for why-question answering
-
Amsterdam, The Netherlands. ACM
-
S. Verberne, L. Boves, N. Oostdijk, and P. Coppen. 2007. Evaluating Discourse-based Answer Extraction for Why-question Answering. In Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, pages 735-736, Amsterdam, The Netherlands. ACM.
-
(2007)
Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
, pp. 735-736
-
-
Verberne, S.1
Boves, L.2
Oostdijk, N.3
Coppen, P.4
-
37
-
-
33646406015
-
Representing discourse coherence: A corpus-based study
-
June
-
F. Wolf and E. Gibson. 2005. Representing Discourse Coherence: A Corpus-Based Study. Computational Linguistics, 31:249-288, June.
-
(2005)
Computational Linguistics
, vol.31
, pp. 249-288
-
-
Wolf, F.1
Gibson, E.2
|