semantic role label substitution rules

Tài liệu Báo cáo khoa học: "Corpus Expansion for Statistical Machine Translation with Semantic Role Label Substitution Rules" doc

Tài liệu Báo cáo khoa học: "Corpus Expansion for Statistical Machine Translation with Semantic Role Label Substitution Rules" doc

Ngày tải lên : 20/02/2014, 04:20
... in the original corpus without substitution. In this pa- per, we call a tuple of semantic frame and semantic role a semantic signature. Two phrase pairs with the same semantic signature are considered ... Computational Linguistics Corpus Expansion for Statistical Machine Translation with Semantic Role Label Substitution Rules Qin Gao and Stephan Vogel Language Technologies Institute, Carnegie Mellon ... translation. By uti- lizing Semantic role labeling (SRL) on one side of the language pair, we extract SRL sub- stitution rules from existing parallel corpus. The rules are then used for generating...
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Tài liệu Báo cáo khoa học: "Unsupervised Semantic Role Induction with Global Role Ordering" doc

Tài liệu Báo cáo khoa học: "Unsupervised Semantic Role Induction with Global Role Ordering" doc

Ngày tải lên : 19/02/2014, 19:20
... syntactic and semantic features could provide clues to the semantic role label of a constituent, non- local features such as predicate voice could provide information about the expected semantic role ... Introduction Unsupervised semantic role induction has gained significant interest recently (Lang and Lapata, 2011b) due to limited amounts of annotated corpora. A Semantic Role Labeling (SRL) system ... generative model for unsupervised semantic role induction, which integrates local role assignment deci- sions and a global role ordering decision in a unified model. The role sequence is divided into...
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Tài liệu Báo cáo khoa học: "Improving Chinese Semantic Role Labeling with Rich Syntactic Features" ppt

Tài liệu Báo cáo khoa học: "Improving Chinese Semantic Role Labeling with Rich Syntactic Features" ppt

Ngày tải lên : 20/02/2014, 04:20
... Proceedings. Weiwei Sun. 2010. Semantics-driven shallow parsing for Chinese semantic role labeling. In Proceedings of the ACL 2010. Weiwei Sun and Zhifang Sui. 2009. Chinese func- tion tag labeling. In Proceedings ... se- mantic role labeling. In Proceedings of the 22nd International Conference on Computa- tional Linguistics. Weiwei Sun, Zhifang Sui, Meng Wang, and Xin Wang. 2009. Chinese semantic role labeling with ... or not. Finally, a multi-class classifier is trained to label each argument recog- nized in the former stage with a specific semantic role label. In both AI and SRC, the main job is to select strong...
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Tài liệu Báo cáo khoa học: "Scaling up Automatic Cross-Lingual Semantic Role Annotation" docx

Tài liệu Báo cáo khoa học: "Scaling up Automatic Cross-Lingual Semantic Role Annotation" docx

Ngày tải lên : 20/02/2014, 04:20
... F-measure for in- dividual semantic roles, and 69% F-measure for whole scenario-like semantic frames. Recently, Wu and Fung (2009a; 2009b) also show that semantic roles help in statistical machine ... used to train semantic role labellers (Basili et al., 2009). In this paper, we generate high-quality broad- coverage semantic annotations using an automatic approach that does not rely on a semantic ... Fung. 2009a. Can semantic role labeling improve SMT? In Proceedings of the Annual Confer- ence of European Association of Machine Translation. D. Wu and P. Fung. 2009b. Semantic roles for SMT: A...
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Tài liệu Báo cáo khoa học: "Semantic Information and Derivation Rules for Robust Dialogue Act Detection in a Spoken Dialogue System" pptx

Tài liệu Báo cáo khoa học: "Semantic Information and Derivation Rules for Robust Dialogue Act Detection in a Spoken Dialogue System" pptx

Ngày tải lên : 20/02/2014, 05:20
... sentence. Semantic information and the derivation rules of the partial sentence trees are extracted and used to model the relation- ship between the dialogue acts and the deriva- tion rules. The ... 603–608, Portland, Oregon, June 19-24, 2011. c 2011 Association for Computational Linguistics Semantic Information and Derivation Rules for Robust Dialogue Act Detection in a Spoken Dialogue System Wei-Bin Liang 1 Chung-Hsien ... result (left) and the extracted deriva- tion rules (right) for the exemplar sentence s. For example, v(s) = [1 0 1 0] T means that there are four derivation rules, of which R 1 and R 3 are used in...
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Tài liệu Báo cáo khoa học: "Abstraction and Generalisation in Semantic Role Labels: PropBank, VerbNet or both?" doc

Tài liệu Báo cáo khoa học: "Abstraction and Generalisation in Semantic Role Labels: PropBank, VerbNet or both?" doc

Ngày tải lên : 20/02/2014, 07:20
... each semantic role label, in PropBank and VerbNet. We find occurrences for three semantic role labels in PropBank and six in VerbNet. We reduce the VerbNet groups to five by merging Patient roles ... considered occurrences of semantic roles for which both a PropBank and a VerbNet label is available in the data (roughly 45% of the Prop- Bank semantic roles have a VerbNet semantic role) . 2 Furthermore, ... translation. The role of theories of semantic role lists is to obtain a set of semantic roles that can apply to any argument of any verb, to provide an unam- biguous identifier of the grammatical roles of...
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Tài liệu Báo cáo khoa học: "A Hybrid Convolution Tree Kernel for Semantic Role Labeling" pptx

Tài liệu Báo cáo khoa học: "A Hybrid Convolution Tree Kernel for Semantic Role Labeling" pptx

Ngày tải lên : 20/02/2014, 12:20
... shared task: Semantic role labeling. In Proceedings of CoNLL-2004, pages 89– 97. Xavier Carreras and Llu ´ ıs M ` arquez. 2005. Introduc- tion to the CoNLL-2005 shared task: Semantic role labeling. ... the constituents in the sentence which fill a semantic role (argument) of the verb have to be recognized. Figure 1 shows an example of a semantic role labeling annotation in PropBank (Palmer et ... vector learning for semantic argument classification. Machine Learning Journal. Sameer Pradhan, Wayne Ward, Kadri Hacioglu, James Martin, and Daniel Jurafsky. 2005b. Semantic role labeling using different...
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Tài liệu Báo cáo khoa học: "A FrameNet-based Semantic Role Labeler for Swedish" pdf

Tài liệu Báo cáo khoa học: "A FrameNet-based Semantic Role Labeler for Swedish" pdf

Ngày tải lên : 20/02/2014, 12:20
... the complete task. 1 Introduction Semantic role labeling (SRL), the process of auto- matically identifying arguments of a predicate in a sentence and assigning them semantic roles, has received much attention ... a FE bracketer and a classifier that assigns semantic roles to FEs. Both parts are implemented as SVM classifiers trained using LIBSVM. The semantic role classifier is rather conventional and is ... BiFrameNet: Bilingual frame semantics resource construction by cross-lingual induction. In Proceedings of COLING-2004. Daniel Gildea and Daniel Jurafsky. 2002. Automatic labeling of semantic roles. Computational...
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Báo cáo khoa học: "Edit Tree Distance alignments for Semantic Role Labelling" ppt

Báo cáo khoa học: "Edit Tree Distance alignments for Semantic Role Labelling" ppt

Ngày tải lên : 07/03/2014, 22:20
... alignments for Semantic Role Labelling Hector-Hugo Franco-Penya Trinity College Dublin Dublin, Ireland. francoph@cs.tcd.ie Abstract ―Tree SRL system‖ is a Semantic Role Label- ling supervised ... propositions. It adds a semantic layer to the Penn TreeBank (Marcus et al, 1994) and defines a set of semantic roles for each predicate. It is difficult to define universal semantic roles for all ... set where 79% accuracy was obtained. 1 Introduction Semantic Role Labelling (SRL) is a natural lan- guage processing task which deals with semantic analysis at sentence-level. SRL is the task...
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Báo cáo khoa học: "Adapting Self-training for Semantic Role Labeling" pdf

Báo cáo khoa học: "Adapting Self-training for Semantic Role Labeling" pdf

Ngày tải lên : 07/03/2014, 22:20
... for Semantic Role Labeling Rasoul Samad Zadeh Kaljahi FCSIT, University of Malaya 50406, Kuala Lumpur, Malaysia. rsk7945@perdana.um.edu.my Abstract Supervised semantic role labeling ... the application of self-training in learning semantic role labeling with the use of unlabeled data. We used a balancing method for selecting newly labeled examples for augmenting the training ... using Unlabeled Data. In Proceedings of the 7th Conference on Natural Language Learning At HLT-NAACL 2003, pages 49-55. Gildea, D. and Jurafsky, D. 2002. Automatic labeling of semantic roles....
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Báo cáo khoa học: "Semantic Role Labeling via FrameNet, VerbNet and PropBank" potx

Báo cáo khoa học: "Semantic Role Labeling via FrameNet, VerbNet and PropBank" potx

Ngày tải lên : 08/03/2014, 02:21
... Automatic semantic role labeling on FrameNet In the experiments involving semantic role label- ing, we used SVMs with polynomial kernels. We adopted the standard features developed for se- mantic role ... Annotating PB with FN semantic roles To show that our approach can be suitable for semantic role free-text annotation, we have au- tomatically classified PB sentences 3 with the FN semantic- role classifiers. ... par- ticipant roles. Thus, a first test of compatibility between a frame and a Levin class is that they share the same participant roles. As FN is anno- tated with frame-specific semantic roles, we...
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Báo cáo khoa học: "Semantic Role Labeling Using Different Syntactic Views∗" pdf

Báo cáo khoa học: "Semantic Role Labeling Using Different Syntactic Views∗" pdf

Ngày tải lên : 08/03/2014, 04:22
... 94305 jurafsky@stanford.edu Abstract Semantic role labeling is the process of annotating the predicate-argument struc- ture in text with semantic labels. In this paper we present a state-of-the-art base- line semantic role labeling ... Juraf- sky. 2004. Semantic role labeling by tagging syntactic chunks. In Proceed- ings of CoNLL-2004, Shared Task – Semantic Role Labeling. Kadri Hacioglu. 2004a. A lightweight semantic chunking ... Identifying semantic roles using com- binatory categorial grammar. In Proceedings of the EMNLP, Sapporo, Japan. Daniel Gildea and Daniel Jurafsky. 2000. Automatic labeling of semantic roles. In...
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Báo cáo khoa học: "Joint Learning Improves Semantic Role Labeling Kristina Toutanova Dept of Computer Science Stanford " pot

Báo cáo khoa học: "Joint Learning Improves Semantic Role Labeling Kristina Toutanova Dept of Computer Science Stanford " pot

Ngày tải lên : 08/03/2014, 04:22
... Man- ning. 2003. A generative model for semantic role labeling. In Proceedings of ECML-2003. Nianwen Xue and Martha Palmer. 2004. Calibrating features for semantic role labeling. In Proceedings of EMNLP-2004. 596 S 1 NP 1 -ARG1 Final-hour ... report results for two variations of the seman- tic role labeling task. For CORE, we identify and label only core arguments. For ARGM, we identify and label core as well as modifier arguments. We report ... 94305 manning@cs.stanford.edu Abstract Despite much recent progress on accu- rate semantic role labeling, previous work has largely used independent classifiers, possibly combined with separate label se- quence models via Viterbi decoding....
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Báo cáo khoa học: "Semantic Role Labeling for Coreference Resolution" pot

Báo cáo khoa học: "Semantic Role Labeling for Coreference Resolution" pot

Ngày tải lên : 08/03/2014, 21:20
... pronoun and number. Similarly to Table 5, the semantic role of the anaphor ranks higher than the one of the antecedent. This re- 145 Semantic Role Labeling for Coreference Resolution Simone Paolo ... alia). Similarly, many researchers have explored tech- niques for robust, broad coverage semantic pars- ing in terms of semantic role labeling (Gildea & Jurafsky, 2002; Carreras & M ` arquez, 2005, SRL henceforth). This ... 65.5 60.4 duplicated baseline 64.9 65.6 65.3 55.1 68.5 61.1 Table 2: Results on MUC J SEMROLE the semantic role argument- predicate pairs of RE j . For the ACE 2003 data, 11,406 of 32,502 auto- matically...
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Báo cáo khoa học: "Semi-Supervised Semantic Role Labeling" potx

Báo cáo khoa học: "Semi-Supervised Semantic Role Labeling" potx

Ngày tải lên : 08/03/2014, 21:20
... unlabeled sen- tence we wish to annotate. Semantic role labeler We evaluated our method on a semantic role labeling task. Specifically, we compared the performance of a generic seman- tic role labeler ... obtain labeled role bracketings like those in example (1) and measured labeled precision, labeled recall and labeled F 1 . (Since our focus is on role labeling and not frame prediction, we let our role ... in creating resources for semantic role labeling. Our strategy is to ex- pand a manually annotated corpus by projecting semantic role information from labeled onto un- labeled instances. We formulate...
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