Corpus-Based Semantic Models of the Noun Phrases Containing Words with ‘Person’ Marker

Author:

Langenbakh Margaryta1

Affiliation:

1. Taras Shevchenko National University of Kyiv , Ukraine

Abstract

Abstract The mechanism underlying constructing of lexically correct sequences of words is an object of attention both in theoretical and applied fields of linguistics. This paper reveals some aspects of modelling the patterns of semantic valence in noun phrases of NN (Noun+Noun) structure, one or both components of which contain the ‘person’ semantic tag. The research is based on the Corpus of Ukrainian and performed with the help of automatic language processing.

Publisher

Walter de Gruyter GmbH

Subject

Linguistics and Language,Language and Linguistics

Reference23 articles.

1. [1] Anisimov, A., Marchenko, O., Nikonenko, A., Porkhun, E., and Taranukha, V. (2013). Ukrainian WordNet: Creation and Filling. In Larsen, H. L., Martin-Bautista, M. J., Vila, M. A., Andreasen, T., and Christiansen, H., editors, Flexible Query Answering Systems. FQAS 2013. Lecture Notes in Computer Science, vol 8132, pages 649–660, Springer, Berlin – Heidelberg, Germany.

2. [2] Apresyan, Yu. (2014). Izbrannye trudy, tom I. Leksicheskaya semantika. Sinonimicheskie sredstva yazyka. Izdatelskaya firma «Vostochnaya literatura» RAN, Moscow.

3. [3] Baker Collin, F., Fillmore, Ch. J., and Lowe, J. B. (1998). The berkeley framenet project. In COLING-ACL ’98: Proceedings of the Conference, pages 86–90, Association for Computational Linguistics, Montreal, Canada.

4. [4] Balkova, V., Sukhonogov, A., and Yablonsky S. (2004). Russian wordnet: From UML-notation to Internet/Intranet Database Implementation. In Proceedings of the Second International WordNet Conference, pages 31–38, GWC, Brno, Czech Republic.

5. [5] Broda, B., Piasecki M., and Maziarz, M. (2010). Evaluating LexCSD – a weakly-supervised method on improved semantically annotated corpus in a large scale experiment. In Proceedings of Intelligent Information Systems (2010), pages 63–76, Publishing House of University of Podlasie, Siedlce, Poland.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3