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Dergiler / Sigma Mühendislik ve Fen Bilimleri Dergisi / 2016 / Cilt: 34 - Sayı: 1

AUTOMATIC DISCOVERY OF SIMILAR WORDS BY SUBSTITUTE VECTORS

İnci DÜZENLİ
M. Fatih AMASYALI
Sayfa
125–133
Yayın Tarihi
2016-03-01
DOI
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Yapay Zeka Hızlı Bakış & Çıkarımlar

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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Because, it does not require any seed words manually labeled.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Patterns between words are generally used for automatic information extraction.
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Temel Bulgular & Veri:In this sets, semantically relatedness ratio is above 70%.
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Sonuç & Katkı:Because, it does not require any seed words manually labeled.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Automatic information extraction · discovery of similar words · synonyms

Abstract

Patterns between words are generally used for automatic information extraction. However, the patterns can only find related words close to each other. In this study, a method based on substitute vectors can overcome of this difficulty. Firstly, the word sets having the same substitute vector are constructed. Then, similar word sets are obtained according to the number of co-occurring sets. In this sets, semantically relatedness ratio is above 70%. The proposed method is unsupervised. Because, it does not require any seed words manually labeled.

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Bu Makaleye Atıf Yap

DÜZENLİ, İ., AMASYALI, M. F. (2016). AUTOMATIC DISCOVERY OF SIMILAR WORDS BY SUBSTITUTE VECTORS. Sigma Mühendislik ve Fen Bilimleri Dergisi, Cilt: 34 - Sayı: 1, 125–133. https://ajindex.com/articles/419453

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Kaynakça (3)

  1. Tarau, Paul, ve Elizabeth Figa. “Knowledge-based conversational agents and virtual storytelling”, Proceedings of the 2004
  2. ACM symposium on Applied computing, ACM, 2004 [2] Kathy Panton, Cynthia Matuszek, Douglas Lenat, Dave Schneider, Michael Witbrock, Nick Siegel, Blake Shepard, “Common sense reasoning–from Cyc to intelligent assistant”, Ambient Intelligence in Everyday Life. Springer Berlin Heidelberg, 2006. [3] Al-Zubaide, Hadeel, ve Ayman A. Issa. “Ontbot: Ontology based chatbot”, Innovation in Information & Communication Technology (ISIICT), 2011 Fourth International Symposium on. IEEE, 2011. [4] Cambria, Erik, Catherine Havasi, ve Amir Hussain. “SenticNet 2: A Semantic and Affective Resource for Opinion Mining and Sentiment Analysis”, FLAIRS Conference. 2012. [5] Cambria, E., Song, Y., Wang, H., ve Howard, N., “Semantic multi-dimensional scaling for open-domain sentiment analysis”, In IEEE Intelligent Systems, DOI: 10.1109/MIS.2012.118, 2013. [6] Chia-Hui Chang, Kayed Mohammed, Girgis, M.R., Shaalan, K.F., “A Survey of Web Information Extraction Systems”,Knowledge and Data Engineering, IEEE Transactions on, Vol:18(10), pp.1411 - 1428, 2006. [7] Hearst, M., “Automated Discovery of WordNet Relations in WordNet: An Electronic Lexical Database”, Christiane Fellbaum (ed.), MIT Press, 1998. [8] M.Fatih Amasyalı, “Automatic Construction of Turkish Wordnet”, SIU 2005. [9] Andrew Carlson, Justin Betteridge, Bryan Kisiel, Burr Settles, Estevam R. Hruschka Jr., Tom M. Mitchell, “Toward an Architecture for Never-Ending Language Learning”, AAAI Publications, Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010. [10] Chia-Hui Chang, Chun-Nan Hsu, Shao-Chen Lui, “Automatic Information Extraction from Semi-Structured Web Pages By Pattern Discovery”, Decision Support Systems J., vol. 35, no. 1, pp. 129-147, 2003. [11] Emre Yazıcı, M.Fatih Amasyalı, “Automatic Extraction of Semantic Relationships Using Turkish Dictionary Definitions”, EMO Bilimsel Dergi, Vol. 1, No. 1, pp. 1-13, 2011. [12] Deniz Yüret, “Word sense disambiguation by substitution”, SemEval-2007, pages 207-214,
  3. Prague, Czech Republic. [13] H. Chen, K.J. Lynch, “Automatic construction of networks of concepts characterizing document databases”, IEEE Transactions on Systems, Man and Cybernetics, 22(5):885–902, 1992. [14] Z.S., Haris, “Mathematical structures of language”, Wiley, s.12, 1968. [15] P. D. Turney, “Mining the Web for synonyms: PMI-IR versus LSA on TOEFL”, In Proceedings of the Eu