prediction of thematic rank for structured semantic role labeling

... AFNLP Prediction of Thematic Rank for Structured Semantic Role Labeling Weiwei Sun and Zhifang Sui and Meng Wang Institute of Computational Linguistics Peking University Key Laboratory of Computational ... relations among semantic roles mentioned and can be simplified to: Agent  Instrument  Patient/Theme Emerging from a range of more basic semantic properties of the ranked semantic roles, thematic hierarchies ... Work Inspired by thematic hierarchy theory, this paper concentrates on thematic hierarchy relation which characterize the structural information for SRL. The prediction of thematic rank is formulated...

Ngày tải lên: 17/03/2014, 02:20

... degree of ambiguity, even across major POS categories. For example, most of the Czech nouns can form singular and plural forms in all seven cases, most adjectives can (at least potentially) form ... the rest of the attributes is denoted by x as expected. Values of attributes will be denoted by an overstrike (~, 5). The pool of contexts of prospective features is for the purpose of morphological ... certain number of times. Using ambiguity classes instead of unique values of morphological categories for evaluating the (con- text part of the) features has the advantage of giv- ing us...

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Ngày tải lên: 23/03/2014, 18:20

... by a vec- tor of integer counts of each sub-tree type (regard- less of its ancestors): Φ(T ) = (# of sub-trees of type 1, . . . , # of sub-trees of type i, . . . , # of sub-trees of type n) This ... particular, for each target verb (predicate) all 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 ... Automatic labeling of semantic roles. Computational Linguis- tics, 28(3):245–288. Daniel Gildea and Martha Palmer. 2002. The necessity of parsing for predicate argument recognition. In Proceedings of...

Ngày tải lên: 20/02/2014, 12:20

... studies 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 ... 2007. Investigation of Weakly Supervised Learning for Semantic Role Labeling. In Proceedings of the Sixth international Conference on Advanced Language Processing and Web information Technology ... corpus of natural language use- ful for training a robust semantic role labeler. A possible relief for this problem is the utility of semi-supervised learning methods along with the existence of...

Ngày tải lên: 07/03/2014, 22:20

... Toutanova Dept of Computer Science Stanford University Stanford, CA, 94305 kristina@cs.stanford.edu Aria Haghighi Dept of Computer Science Stanford University Stanford, CA, 94305 aria42@stanford.edu Christopher ... structures for in- formation extraction. In Proceedings of ACL-2003. Cynthia A. Thompson, Roger Levy, and Christopher D. Man- ning. 2003. A generative model for semantic role labeling. In Proceedings of ... Performance of local and joint models on identification+classification on section 23, using gold- standard parse trees. We report results for two variations of the seman- tic role labeling task. For...

Ngày tải lên: 08/03/2014, 04:22

... removal ranks 5th out of 12, following only essential features such as string matching, alias, pronoun and number. Similarly to Table 5, the semantic role of the anaphor ranks higher than the one of ... 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 paper ... automatically generated infor- mation about semantic roles improves its performance. 1 Introduction The last years have seen a boost of work devoted to the development of machine learning based coreference...

Ngày tải lên: 08/03/2014, 21:20

... and Martha Palmer, 2004. Calibrating Features for Semantic Role Labeling. EMNLP ’04. Nianwen Xue, 2008. Labeling Chinese Predicates with Semantic Roles. Computational Linguistics, 34(2):225–255. 36 ... of the occur- rences of ST s in a large corpus. For every ST in the corpus, we count the number of times it oc- curs in a form we consider to be a clause (positive examples), and the number of ... Semantic Role Labeling Omri Abend 1 Roi Reichart 2 Ari Rappoport 1 1 Institute of Computer Science , 2 ICNC Hebrew University of Jerusalem {omria01|roiri|arir}@cs.huji.ac.il Abstract The task of Semantic...

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Ngày tải lên: 14/08/2014, 19:22

... 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 of the ... Language, Informa- tion and Computation. Hong Kong. Weiwei Sun, Zhifang Sui, and Haifeng Wang. 2008. Prediction of maximal projection for se- mantic role labeling. In Proceedings of the 22nd ... the state -of- the-art in Se- mantic Role Labeling (SRL). To improve Chinese SRL, we propose a set of ad- ditional features, some of which are de- signed to better capture structural infor- mation....

Ngày tải lên: 20/02/2014, 04:20

... conclu- sions. 2 Automatic Semantic Role Labeling One of the goals of the FN project is to design a linguistic ontology that can be used for the auto- matic processing of semantic information. The as- sociated ... Nature of Statistical Learning Theory. Springer. Nianwen Xue and Martha Palmer. 2004. Calibrating features for semantic role labeling. In Proceedings of EMNLP 2004, Barcelona, Spain. Association for Computational ... Word- Net for robust semantic parsing. In Proceedings of Cicling 2005, Mexico. Cynthia A. Thompson, Roger Levy, and Christopher Manning. 2003. A generative model for semantic role labeling. In...

Ngày tải lên: 08/03/2014, 02:21

... 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 ... structures for information extraction. In Proceedings of ACL, Sapporo, Japan. Nianwen Xue and Martha Palmer. 2004. Calibrating features for semantic role labeling. In Proceedings of EMNLP, Barcelona, ... 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...

Ngày tải lên: 08/03/2014, 04:22

... method for reducing the annotation effort involved in creating resources for semantic role labeling. Our strategy is to ex- pand a manually annotated corpus by projecting semantic role information ... proceedings of the SemEval-2007 shared task (Baker et al., 2007) for an overview of the state- of- the-art. 220 as training data for semantic role labeling sys- tems. However, the applicability of these ... 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 trained on...

Ngày tải lên: 08/03/2014, 21:20

... and semantic role labeling may lead to performance gains in both tasks. 1 Introduction Semantic Role Labeling (SRL) is the process of assign- ing semantic roles to strings of words in a sentence ... strategies for semantic role la- beling. Journal of Artificial Intelligence Research, 29:105–151. K. Toutanova, A. Haghighi, and C.D. Manning. 2008. A global joint model for semantic role labeling. Computational ... The performance of the full system is shown in table 2. Table 3 shows the ability of the system to predict the correct headwords of semantic roles. This is a nec- essary condition for correctness of...

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