The Experts below are selected from a list of 14409 Experts worldwide ranked by ideXlab platform
Jungyun Seo - One of the best experts on this subject based on the ideXlab platform.
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the Grammatical Function analysis between korean adnoun clause and noun phrase by using support vector machines
International Conference on Computational Linguistics, 2002Co-Authors: Songwook Lee, Taeyeoub Jang, Jungyun SeoAbstract:This study aims to improve the performance of identifying Grammatical Functions between an adnoun clause and a noun phrase in Korean. The key task is to determine the relation between the two constituents in terms of such Functional categories as subject, object, adverbial, and appositive. The problem is mainly caused by the fact that Functional morphemes, which are considered to be crucial for identifying the relation, are frequently omitted in the noun phrases. To tackle this problem, we propose to employ the Support Vector Machines(SVM) in determining the Grammatical Functions. Through an experiment with a tagged corpus for training SVMs, the proposed model is found to be useful.
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COLING - The Grammatical Function analysis between Korean adnoun clause and noun phrase by using support vector machines
Proceedings of the 19th international conference on Computational linguistics -, 2002Co-Authors: Songwook Lee, Taeyeoub Jang, Jungyun SeoAbstract:This study aims to improve the performance of identifying Grammatical Functions between an adnoun clause and a noun phrase in Korean. The key task is to determine the relation between the two constituents in terms of such Functional categories as subject, object, adverbial, and appositive. The problem is mainly caused by the fact that Functional morphemes, which are considered to be crucial for identifying the relation, are frequently omitted in the noun phrases. To tackle this problem, we propose to employ the Support Vector Machines(SVM) in determining the Grammatical Functions. Through an experiment with a tagged corpus for training SVMs, the proposed model is found to be useful.
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the Grammatical Function analysis between adnoun clause and noun phrase in korean
NLPRS, 2001Co-Authors: Songwook Lee, Taeyeoub Jang, Jungyun SeoAbstract:This research focuses on analysis of the Grammatical Functions between an adnoun clause and a noun phrase in Korean. The key task is to determine the relation between two constituents in terms of one of the various Functional categories such as subject, object, complement, and appositive. The problem is mainly caused by the fact that Functional morpheme, crucial for identifying the relation, is not used in the noun phrase. We propose a statistical method in determining the Grammatical Functions. A tagged corpus is used for training a new model and a smoothing technique known as "backed off" is employed to tackle the data sparse problem. As experimental tests prove our model to be useful, we make it assist error detection of parsing results.
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NLPRS - The Grammatical Function Analysis between Adnoun Clause and Noun Phrase in Korean.
2001Co-Authors: Songwook Lee, Taeyeoub Jang, Jungyun SeoAbstract:This research focuses on analysis of the Grammatical Functions between an adnoun clause and a noun phrase in Korean. The key task is to determine the relation between two constituents in terms of one of the various Functional categories such as subject, object, complement, and appositive. The problem is mainly caused by the fact that Functional morpheme, crucial for identifying the relation, is not used in the noun phrase. We propose a statistical method in determining the Grammatical Functions. A tagged corpus is used for training a new model and a smoothing technique known as "backed off" is employed to tackle the data sparse problem. As experimental tests prove our model to be useful, we make it assist error detection of parsing results.
Branimir Boguraev - One of the best experts on this subject based on the ideXlab platform.
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COLING - Anaphora for everyone: pronominal anaphora resoluation without a parser
Proceedings of the 16th conference on Computational linguistics -, 1996Co-Authors: Christopher Kennedy, Branimir BoguraevAbstract:We present an algorithm for anaphora resolution which is a modified and extended version of that developed by (Lappin and Leass, 1994). In contrast to that work, our algorithm does not require in-depth, full, syntactic parsing of text. Instead, with minimal compromise in output quality, the modifications enable the resolution process to work from the output of a part of speech tagger, enriched only with annotations of Grammatical Function of lexical items in the input text stream. Evaluation of the results of our implementation demonstrates that accurate anaphora resolution can be realized within natural language processing frameworks which do not---or cannot--- employ robust and reliable parsing components.
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anaphora for everyone pronominal anaphora resoluation without a parser
International Conference on Computational Linguistics, 1996Co-Authors: Christopher Kennedy, Branimir BoguraevAbstract:We present an algorithm for anaphora resolution which is a modified and extended version of that developed by (Lappin and Leass, 1994). In contrast to that work, our algorithm does not require in-depth, full, syntactic parsing of text. Instead, with minimal compromise in output quality, the modifications enable the resolution process to work from the output of a part of speech tagger, enriched only with annotations of Grammatical Function of lexical items in the input text stream. Evaluation of the results of our implementation demonstrates that accurate anaphora resolution can be realized within natural language processing frameworks which do not---or cannot--- employ robust and reliable parsing components.
Songwook Lee - One of the best experts on this subject based on the ideXlab platform.
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the Grammatical Function analysis between korean adnoun clause and noun phrase by using support vector machines
International Conference on Computational Linguistics, 2002Co-Authors: Songwook Lee, Taeyeoub Jang, Jungyun SeoAbstract:This study aims to improve the performance of identifying Grammatical Functions between an adnoun clause and a noun phrase in Korean. The key task is to determine the relation between the two constituents in terms of such Functional categories as subject, object, adverbial, and appositive. The problem is mainly caused by the fact that Functional morphemes, which are considered to be crucial for identifying the relation, are frequently omitted in the noun phrases. To tackle this problem, we propose to employ the Support Vector Machines(SVM) in determining the Grammatical Functions. Through an experiment with a tagged corpus for training SVMs, the proposed model is found to be useful.
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COLING - The Grammatical Function analysis between Korean adnoun clause and noun phrase by using support vector machines
Proceedings of the 19th international conference on Computational linguistics -, 2002Co-Authors: Songwook Lee, Taeyeoub Jang, Jungyun SeoAbstract:This study aims to improve the performance of identifying Grammatical Functions between an adnoun clause and a noun phrase in Korean. The key task is to determine the relation between the two constituents in terms of such Functional categories as subject, object, adverbial, and appositive. The problem is mainly caused by the fact that Functional morphemes, which are considered to be crucial for identifying the relation, are frequently omitted in the noun phrases. To tackle this problem, we propose to employ the Support Vector Machines(SVM) in determining the Grammatical Functions. Through an experiment with a tagged corpus for training SVMs, the proposed model is found to be useful.
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the Grammatical Function analysis between adnoun clause and noun phrase in korean
NLPRS, 2001Co-Authors: Songwook Lee, Taeyeoub Jang, Jungyun SeoAbstract:This research focuses on analysis of the Grammatical Functions between an adnoun clause and a noun phrase in Korean. The key task is to determine the relation between two constituents in terms of one of the various Functional categories such as subject, object, complement, and appositive. The problem is mainly caused by the fact that Functional morpheme, crucial for identifying the relation, is not used in the noun phrase. We propose a statistical method in determining the Grammatical Functions. A tagged corpus is used for training a new model and a smoothing technique known as "backed off" is employed to tackle the data sparse problem. As experimental tests prove our model to be useful, we make it assist error detection of parsing results.
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NLPRS - The Grammatical Function Analysis between Adnoun Clause and Noun Phrase in Korean.
2001Co-Authors: Songwook Lee, Taeyeoub Jang, Jungyun SeoAbstract:This research focuses on analysis of the Grammatical Functions between an adnoun clause and a noun phrase in Korean. The key task is to determine the relation between two constituents in terms of one of the various Functional categories such as subject, object, complement, and appositive. The problem is mainly caused by the fact that Functional morpheme, crucial for identifying the relation, is not used in the noun phrase. We propose a statistical method in determining the Grammatical Functions. A tagged corpus is used for training a new model and a smoothing technique known as "backed off" is employed to tackle the data sparse problem. As experimental tests prove our model to be useful, we make it assist error detection of parsing results.
Christopher Kennedy - One of the best experts on this subject based on the ideXlab platform.
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COLING - Anaphora for everyone: pronominal anaphora resoluation without a parser
Proceedings of the 16th conference on Computational linguistics -, 1996Co-Authors: Christopher Kennedy, Branimir BoguraevAbstract:We present an algorithm for anaphora resolution which is a modified and extended version of that developed by (Lappin and Leass, 1994). In contrast to that work, our algorithm does not require in-depth, full, syntactic parsing of text. Instead, with minimal compromise in output quality, the modifications enable the resolution process to work from the output of a part of speech tagger, enriched only with annotations of Grammatical Function of lexical items in the input text stream. Evaluation of the results of our implementation demonstrates that accurate anaphora resolution can be realized within natural language processing frameworks which do not---or cannot--- employ robust and reliable parsing components.
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anaphora for everyone pronominal anaphora resoluation without a parser
International Conference on Computational Linguistics, 1996Co-Authors: Christopher Kennedy, Branimir BoguraevAbstract:We present an algorithm for anaphora resolution which is a modified and extended version of that developed by (Lappin and Leass, 1994). In contrast to that work, our algorithm does not require in-depth, full, syntactic parsing of text. Instead, with minimal compromise in output quality, the modifications enable the resolution process to work from the output of a part of speech tagger, enriched only with annotations of Grammatical Function of lexical items in the input text stream. Evaluation of the results of our implementation demonstrates that accurate anaphora resolution can be realized within natural language processing frameworks which do not---or cannot--- employ robust and reliable parsing components.
Taeyeoub Jang - One of the best experts on this subject based on the ideXlab platform.
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the Grammatical Function analysis between korean adnoun clause and noun phrase by using support vector machines
International Conference on Computational Linguistics, 2002Co-Authors: Songwook Lee, Taeyeoub Jang, Jungyun SeoAbstract:This study aims to improve the performance of identifying Grammatical Functions between an adnoun clause and a noun phrase in Korean. The key task is to determine the relation between the two constituents in terms of such Functional categories as subject, object, adverbial, and appositive. The problem is mainly caused by the fact that Functional morphemes, which are considered to be crucial for identifying the relation, are frequently omitted in the noun phrases. To tackle this problem, we propose to employ the Support Vector Machines(SVM) in determining the Grammatical Functions. Through an experiment with a tagged corpus for training SVMs, the proposed model is found to be useful.
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COLING - The Grammatical Function analysis between Korean adnoun clause and noun phrase by using support vector machines
Proceedings of the 19th international conference on Computational linguistics -, 2002Co-Authors: Songwook Lee, Taeyeoub Jang, Jungyun SeoAbstract:This study aims to improve the performance of identifying Grammatical Functions between an adnoun clause and a noun phrase in Korean. The key task is to determine the relation between the two constituents in terms of such Functional categories as subject, object, adverbial, and appositive. The problem is mainly caused by the fact that Functional morphemes, which are considered to be crucial for identifying the relation, are frequently omitted in the noun phrases. To tackle this problem, we propose to employ the Support Vector Machines(SVM) in determining the Grammatical Functions. Through an experiment with a tagged corpus for training SVMs, the proposed model is found to be useful.
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the Grammatical Function analysis between adnoun clause and noun phrase in korean
NLPRS, 2001Co-Authors: Songwook Lee, Taeyeoub Jang, Jungyun SeoAbstract:This research focuses on analysis of the Grammatical Functions between an adnoun clause and a noun phrase in Korean. The key task is to determine the relation between two constituents in terms of one of the various Functional categories such as subject, object, complement, and appositive. The problem is mainly caused by the fact that Functional morpheme, crucial for identifying the relation, is not used in the noun phrase. We propose a statistical method in determining the Grammatical Functions. A tagged corpus is used for training a new model and a smoothing technique known as "backed off" is employed to tackle the data sparse problem. As experimental tests prove our model to be useful, we make it assist error detection of parsing results.
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NLPRS - The Grammatical Function Analysis between Adnoun Clause and Noun Phrase in Korean.
2001Co-Authors: Songwook Lee, Taeyeoub Jang, Jungyun SeoAbstract:This research focuses on analysis of the Grammatical Functions between an adnoun clause and a noun phrase in Korean. The key task is to determine the relation between two constituents in terms of one of the various Functional categories such as subject, object, complement, and appositive. The problem is mainly caused by the fact that Functional morpheme, crucial for identifying the relation, is not used in the noun phrase. We propose a statistical method in determining the Grammatical Functions. A tagged corpus is used for training a new model and a smoothing technique known as "backed off" is employed to tackle the data sparse problem. As experimental tests prove our model to be useful, we make it assist error detection of parsing results.
