an equivalent pseudoword solution to chinese word sense disambiguation

Tài liệu Báo cáo khoa học: "An Equivalent Pseudoword Solution to Chinese Word Sense Disambiguation" ppt

Tài liệu Báo cáo khoa học: "An Equivalent Pseudoword Solution to Chinese Word Sense Disambiguation" ppt

Ngày tải lên : 20/02/2014, 12:20
... Linguistics and 44th Annual Meeting of the ACL, pages 457–464, Sydney, July 2006. c 2006 Association for Computational Linguistics An Equivalent Pseudoword Solution to Chinese Word Sense Disambiguation ... specific the sense is. The fifth level often contains a few words or only one word, which is called an atom word group, an atom class or an atom node. The words in the same atom node hold ... Introduction Word sense disambiguation (WSD) has been a hot topic in natural language processing, which is to determine the sense of an ambiguous word in a specific context. It is an important technique...
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Báo cáo khoa học: "Exploring Deterministic Constraints: From a Constrained English POS Tagger to an Efficient ILP Solution to Chinese Word Segmentation" ppt

Báo cáo khoa học: "Exploring Deterministic Constraints: From a Constrained English POS Tagger to an Efficient ILP Solution to Chinese Word Segmentation" ppt

Ngày tải lên : 07/03/2014, 18:20
... as used in (Zhang and Clark, 2007) and (Jiang et al., 2008a). We propose an Integer Linear Programming (ILP) formulation of word segmentation, which is nat- urally viewed as a word- based model ... itself, sub-words contained in the word, contextual characters/words and so on. It has been shown that combining the use of character- and word- based features helps im- prove performance. However, ... Constrained English POS Tagger to an Efficient ILP Solution to Chinese Word Segmentation Qiuye Zhao Mitch Marcus Dept. of Computer & Information Science University of Pennsylvania qiuye, mitch@cis.upenn.edu Abstract We...
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Tài liệu Báo cáo khoa học: "ParaSense or How to Use Parallel Corpora for Word Sense Disambiguation" pdf

Tài liệu Báo cáo khoa học: "ParaSense or How to Use Parallel Corpora for Word Sense Disambiguation" pdf

Ngày tải lên : 20/02/2014, 05:20
... five supported tar- get languages (viz. French, Italian, Spanish, Ger- man and Dutch) for an ambiguous focus word in a given context. In order to detect the relevant transla- tions for each of ... Hendrickx, W. Daelemans, and A. van den Bosch. 2002. Parameter Optimization for Machine- Learning of Word Sense Disambiguation. Natural Language Engineering, Special Issue on Word Sense Disambiguation ... relationship be- tween the performance and the number (and nature) of languages that is added to the feature vector. In addition, we will apply semantic analysis tools (such 320 2 Experimental Setup Starting...
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Báo cáo khoa học: "Exploiting Parallel Texts for Word Sense Disambiguation: An Empirical Study" potx

Báo cáo khoa học: "Exploiting Parallel Texts for Word Sense Disambiguation: An Empirical Study" potx

Ngày tải lên : 08/03/2014, 04:22
... nese translations appear in the aligned Chinese sentence. For example, for an English occurrence channel, both “频道” (sense 1 translation) and “途 径” (sense 5 translation) happen to appear ... frequency counts. Manual Selection of Target Translations In this step, we will decide on the sense classes of an English word w that are relevant to translating w into Chinese. We will illustrate ... which lists seven senses for the noun channel. Two senses are lumped together if they are translated in the same way in Chinese. For example, sense 1 and 7 of channel are both translated as “频道”...
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Tài liệu Báo cáo khoa học: "SenseLearner: Word Sense Disambiguation for All Words in Unrestricted Text" doc

Tài liệu Báo cáo khoa học: "SenseLearner: Word Sense Disambiguation for All Words in Unrestricted Text" doc

Ngày tải lên : 20/02/2014, 15:20
... from the Penn Treebank corpus annotated with WordNet senses. The SENSEVAL-2 corpus includes a total of 2,473 annotated content words, and the SENSEVAL- 3 corpus includes annotations for an additional ... the target word in the test feature vector, then the pre- dicted sense is used to annotate the test instance. Oth- erwise, if the predicted word is different than the tar- get word, no annotation ... supervised word sense disam- biguation system that attempts to disam- biguate all content words in a text using WordNet senses. We evaluate the accu- racy of SENSELEARNER on several stan- dard sense- annotated...
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Tài liệu Báo cáo khoa học: "A Kernel PCA Method for Superior Word Sense Disambiguation" ppt

Tài liệu Báo cáo khoa học: "A Kernel PCA Method for Superior Word Sense Disambiguation" ppt

Ngày tải lên : 20/02/2014, 16:20
... verbs. For each word, training and test instances tagged with WordNet senses are provided. There are an av- erage of 7.8 senses per target word type. On average 109 training instances per target word are ... training vectors (showing only the first three dimensions) and their first three principal components as transformed via PCA and KPCA. Observed vectors PCA-transformed vectors KPCA-transformed vectors ... Linguistics. Konstantinos I. Diamantaras and Sun Yuan Kung. Principal Component Neural Networks. Wiley, New York, 1996. Bradley Efron and Robert J. Tibshirani. An Intro- duction to the Bootstrap. Chapman and Hall, 1993. Hideki...
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Báo cáo khoa học: "Estimating Class Priors in Domain Adaptation for Word Sense Disambiguation" pdf

Báo cáo khoa học: "Estimating Class Priors in Domain Adaptation for Word Sense Disambiguation" pdf

Ngày tải lên : 08/03/2014, 02:21
... each sense of a word to predict the predominant sense. As in our earlier work (Chan and Ng, 2005b), we normalized the prevalence score of each sense to obtain estimated sense priors for each word, ... sources to disambiguate word sense: An exemplar-based approach. In Proc. of ACL96. Hwee Tou Ng, Bin Wang, and Yee Seng Chan. 2003. Exploiting parallel texts for word sense disambigua- tion: An empirical ... Proc. of SENSEVAL-2. Yoong Keok Lee and Hwee Tou Ng. 2002. An empir- ical evaluation of knowledge sources and learning algorithms for word sense disambiguation. In Proc. of EMNLP02. Diana McCarthy,...
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Báo cáo khoa học: "Word Sense Disambiguation using lexical cohesion in the context" ppt

Báo cáo khoa học: "Word Sense Disambiguation using lexical cohesion in the context" ppt

Ngày tải lên : 08/03/2014, 02:21
... factor (α t ) to specify the weights of different link types (t) (syn/antonym, hyper/ hyponym, and holo/meronym) in the WordNet, and a path type factor (β t ) to reduce the uniform distance ... Semantic Re- latedness to Perform Word Sense Disambiguation. Sinopalnikova, A. (2004). Word Association Thesau- rus as a Resource for Building Wordnet. In GWC 2004. Sussna, M. (1993). Word Sense ... syntagmatic and pragmatic relations in words, we transform the context words of the target into its associated words, which can be retrieved in the EAT, to augment the performance of the lexical...
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Báo cáo khoa học: "Word Sense Disambiguation Improves Statistical Machine Translation" docx

Báo cáo khoa học: "Word Sense Disambiguation Improves Statistical Machine Translation" docx

Ngày tải lên : 08/03/2014, 02:21
... c 1 , c 2 , and c 3 will represent the Chinese words “”, “”, and “” respectively. Similarly, e 1 , e 2 , e 3 , e 4 , and e 5 will represent the English words go, to, every, month, and to respectively. ... help to improve the perfor- mance of an MT system. Carpuat and Wu (2005) integrated the translation predictions from a Chinese WSD system (Carpuat et al., 2004) into a Chinese- English word- based ... the chunk and also contains the word e 3 (“every”), it is noted as a candidate translation. Later, it is determined that the most number of words any candidate translation has is two words. Since...
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Báo cáo khoa học: "Learning Expressive Models for Word Sense Disambiguation" pot

Báo cáo khoa học: "Learning Expressive Models for Word Sense Disambiguation" pot

Ngày tải lên : 08/03/2014, 02:21
... Yu, and Dekai WU. 2006. Toward Integrating Word Sense and Enti- ty Disambiguation into Statistical Machine Transla- tion. Proceedings of the Third International Workshop on Spoken Language Translation,. ... applied to any lexical dis- ambiguation task by customizing the sense reposi- tory and knowledge sources. In the remainder of this paper we first present related approaches to WSD and discuss ... occurs frequently with the word “today” as a bigram, and if the partially translated sentence con- tains the word “hoje” (the translation of “today”). Rule_3 says that the translation of the verb...
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Báo cáo khoa học: "Domain Adaptation with Active Learning for Word Sense Disambiguation" pdf

Báo cáo khoa học: "Domain Adaptation with Active Learning for Word Sense Disambiguation" pdf

Ngày tải lên : 08/03/2014, 02:21
... natural language, a word often assumes different meanings, and the task of determining the correct meaning, or sense, of a word in different contexts is known as word sense disambiguation (WSD). To date, ... and finance focus of the WSJ corpus. Instead of restricting the BC training data to ad- here strictly to the sense priors in WSJ, another alter- native is just to ensure that the predominant sense ... training data to a WSD system. To reduce the effort required to adapt a WSD system to a new domain, we employ an ac- tive learning strategy (Lewis and Gale, 1994) to se- lect examples to annotate...
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Báo cáo khoa học: "SenseRelate::TargetWord – A Generalized Framework for Word Sense Disambiguation" doc

Báo cáo khoa học: "SenseRelate::TargetWord – A Generalized Framework for Word Sense Disambiguation" doc

Ngày tải lên : 08/03/2014, 04:22
... closest to the target word, and sends these words (and the target) on to the next module for disambiguation. Note that these words must all be known to WordNet, and should not include any stop–words. However, ... method of word sense disambiguation that com- putes the intended sense of a target word, using WordNet-based measures of seman- tic relatedness (Patwardhan et al., 2003). SenseRelate::TargetWord is ... Measure Context Target Sense Preprocessing Format Filter Sense Inventory Context Selection Postprocessing Pick Sense Figure 1: A generalized framework for Word Sense Disambiguation. modules to perform any of...
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Báo cáo khoa học: "Relieving The Data Acquisition Bottleneck In Word Sense Disambiguation" ppt

Báo cáo khoa học: "Relieving The Data Acquisition Bottleneck In Word Sense Disambiguation" ppt

Ngày tải lên : 08/03/2014, 04:22
... Language Resources and Evaluation. Granada, Spain. Dan I. Melamed. 1997. Measuring Semantic Entropy. ACL SIGLEX, Washington, DC. Rada Mihalcea and Dan Moldovan. 1999. A method for Word Sense Disambiguation ... corpora for sense annota- tion. The key intuition behind SALAAM is that when words in one language, L1, are translated into the same word in a second language, L2, then those L1 words are semantically ... test statistical significance. L1 words that translate into the same L2 word are grouped into clusters; SALAAM identifies the appropriate senses for the words in those clusters based on the words senses’ proximity...
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Báo cáo khoa học: "Word Sense Disambiguation Using Pairwise Alignment" potx

Báo cáo khoa học: "Word Sense Disambiguation Using Pairwise Alignment" potx

Ngày tải lên : 08/03/2014, 04:22
... 7th Annual Conference of the Uni- versity of Waterloo Center for the New OED and Text Research, pp.1-22. Nancy Ide and Jean V´eronis. 1998. Introduction to the Special Issue on Word Sense Disambiguation: ... p i p j t i v i otherwise (2) where u i and v i are arbitrary constants and t i is arbi- trary threshold. Using equation (1), we can estimate a similarity between the context of a target word and prototype context, and can determine ... 3(4):235-244. Shigeki Mitaku and Minoru Kanehisa (ed). 1995. Hu- man Genom Project and Knowledge Information Pro- cessing (in Japanese). Baifukan. Satoshi Sekine. 1996. Manual of Apple Pie Parser. URL:...
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Báo cáo khoa học: "A Method for Word Sense Disambiguation of Unrestricted Text" potx

Báo cáo khoa học: "A Method for Word Sense Disambiguation of Unrestricted Text" potx

Ngày tải lên : 08/03/2014, 06:20
... of correct senses (as given by SemCor) ranked by us in top 1, top 2, top 3, and top 4 of our list. We concluded that by keeping the top four choices for verbs and nouns and the top two choices ... semantically untagged word1 - word2 pair (W1 - W2) OUTPUT: ranking the senses of one word PROCEDURE: STEP 1. Form a similarity list ]or each sense of one of the words. Pick one of the words, ... that it excludes the senses that do not apply, and this can save a considerable amount of computation time as many words are highly polysemous. top 1 top 2 top 3 top 4 noun 76% 83~ 86~...
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