In this paper, we propose a new approach to enhance automatic recognition systems for domain-specific terms. The approach is based on the statistics about the relation between a compound noun and its constituents that are simple nouns. More precisely, we focus on how many nouns adjoin the noun in question to form compound nouns. We propose several scoring methods based on this approach and experimentally evaluate them on the NTCIR1 TMREC test collection. The results are very promising, especially in low and high recall.
2022. NMF-based approach to automatic term extraction. Expert Systems with Applications 199 ► pp. 117179 ff.
Erjavec, Tomaž, Darja Fišer & Nikola Ljubešić
2021. The KAS corpus of Slovenian academic writing. Language Resources and Evaluation 55:2 ► pp. 551 ff.
Kimura, Yusuke, Kazuma Kusu, Kenji Hatano & Tokiya Baba
2021. Automatic Terminology Extraction Using a Dependency-Graph in NLP. In Innovations in Bio-Inspired Computing and Applications [Advances in Intelligent Systems and Computing, 1372], ► pp. 411 ff.
Kaļiņina, Irina
2020. Specifics of Translating Osteopathic Terminology from English into Latvian. Baltic Journal of English Language, Literature and Culture 10 ► pp. 54 ff.
2019. VocaBura. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 3:4 ► pp. 1 ff.
Ljubešić, Nikola, Darja Fišer & Tomaž Erjavec
2019. KAS-term: Extracting Slovene Terms from Doctoral Theses via Supervised Machine Learning. In Text, Speech, and Dialogue [Lecture Notes in Computer Science, 11697], ► pp. 115 ff.
2018. A Novel Parsing-Based Automatic Domain Terminology Extraction Method. In Computational Science – ICCS 2018 [Lecture Notes in Computer Science, 10862], ► pp. 796 ff.
Riedl, Martin & Chris Biemann
2018. Using Semantics for Granularities of Tokenization. Computational Linguistics 44:3 ► pp. 483 ff.
Sivashankari, R. & B. Valarmathi
2018. NLP-MTFLR: Document-Level Prioritization and Identification of Dominant Multi-word Named Products in Customer Reviews. Arabian Journal for Science and Engineering 43:2 ► pp. 843 ff.
Yoshizawa, Go, Rinie van Est, Daisuke Yoshinaga, Mikihito Tanaka, Ryuma Shineha & Akihiko Konagaya
2018. <b>Responsible innovation in molecular robotics in Japan </b>. Chem-Bio Informatics Journal 18:0 ► pp. 164 ff.
de Santiago González, Paula & Larisa Grcic Simeunovic
2017. The Polymorphic Behaviour of Adjectives in Terminography. Meta 62:1 ► pp. 201 ff.
Seneviratne, Dilesha, Shlomo Geva, Guido Zuccon & Andrew Trotman
2017. Proceedings of the 22nd Australasian Document Computing Symposium, ► pp. 1 ff.
Kolesnikova, Olga & Alexander Gelbukh
2015. Measuring Non-compositionality of Verb-Noun Collocations Using Lexical Functions and WordNet Hypernyms. In Advances in Artificial Intelligence and Its Applications [Lecture Notes in Computer Science, 9414], ► pp. 3 ff.
Kolesnikova, Olga & Alexander Gelbukh
2017. Characteristics of Most Frequent Spanish Verb-Noun Combinations. In Advances in Computational Intelligence [Lecture Notes in Computer Science, 10061], ► pp. 27 ff.
Le, Tho Thi Ngoc, Kiyoaki Shirai, Minh Le Nguyen & Akira Shimazu
2015. Extracting indices from Japanese legal documents. Artificial Intelligence and Law 23:4 ► pp. 315 ff.
Mezghanni, Imen Bouaziz & Faiez Gargouri
2015. 2015 5th International Conference on Information & Communication Technology and Accessibility (ICTA), ► pp. 1 ff.
2015. Supporting System for Quiz in Large Class – Automatic Keyword Extraction and Browsing Interface –. Journal of Advanced Computational Intelligence and Intelligent Informatics 19:1 ► pp. 152 ff.
2014. Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific, ► pp. 1 ff.
Takada, Tomoki, Mizuki Arai & Tomohiro Takagi
2014. Automatic Keyword Annotation System Using Newspapers. Journal of Advanced Computational Intelligence and Intelligent Informatics 18:3 ► pp. 340 ff.
Bagheri, Ayoub, Mohamad Saraee & Franciska de Jong
2013. Care more about customers: Unsupervised domain-independent aspect detection for sentiment analysis of customer reviews. Knowledge-Based Systems 52 ► pp. 201 ff.
Bagheri, Ayoub, Mohamad Saraee & Franciska de Jong
2013. An Unsupervised Aspect Detection Model for Sentiment Analysis of Reviews. In Natural Language Processing and Information Systems [Lecture Notes in Computer Science, 7934], ► pp. 140 ff.
Yasuda, Keiji & Eiichiro Sumita
2013. Building a Bilingual Dictionary from a Japanese-Chinese Patent Corpus. In Computational Linguistics and Intelligent Text Processing [Lecture Notes in Computer Science, 7817], ► pp. 276 ff.
Hayama, Tessai & Susumu Kunifuji
2012. Information Provision Modules to Support Creation of Slides with Easily Understandable Presentation. International Journal of Knowledge and Systems Science 3:3 ► pp. 26 ff.
Kageura, Kyo & Ryo Murayama
2012. QRpac: User-Driven Archiving of Parallel and Comparable Documents from the Web. In The Outreach of Digital Libraries: A Globalized Resource Network [Lecture Notes in Computer Science, 7634], ► pp. 321 ff.
2011. Multi-words Terminology Recognition Using Web Search. In U- and E-Service, Science and Technology [Communications in Computer and Information Science, 264], ► pp. 233 ff.
2010. Integrating a Bottom–Up and Top–Down Methodology for Building Semantic Resources for the Multilingual Legal Domain. In Semantic Processing of Legal Texts [Lecture Notes in Computer Science, 6036], ► pp. 95 ff.
Kang, Jingjing, Xiaoyong Du, Tao Liu & He Hu
2010. Automatic Domain Terminology Extraction Using Graph Mutual Reinforcement. In Web-Age Information Management [Lecture Notes in Computer Science, 6184], ► pp. 656 ff.
Ureña Gómez-Moreno, José Manuel & Pamela Faber
2010. Strategies for the Semi-Automatic Retrieval of Metaphorical Terms. Metaphor and Symbol 26:1 ► pp. 23 ff.
2008. 2008 IEEE Symposium on Computers and Communications, ► pp. 869 ff.
Fan, Teng-Kai & Chia-Hui Chang
2008. 2008 The Eighth IAPR International Workshop on Document Analysis Systems, ► pp. 574 ff.
Ono, Shingo, Issei Sato, Minoru Yoshida & Hiroshi Nakagawa
2008. Person Name Disambiguation in Web Pages Using Social Network, Compound Words and Latent Topics. In Advances in Knowledge Discovery and Data Mining [Lecture Notes in Computer Science, 5012], ► pp. 260 ff.
Uchiyama, Kiyoko, Shunsuke Aihara & Shun Ishizaki
2008. Identifying Semantic Relations in Japanese Compound Nouns for Patent Documents Analysis. In Large-Scale Knowledge Resources. Construction and Application [Lecture Notes in Computer Science, 4938], ► pp. 75 ff.
2006. Proceedings of the 2006 ACM SIGCHI international conference on Advances in computer entertainment technology, ► pp. 51 ff.
Utsuro, Takehito, Mitsuhiro Kida, Masatsugu Tonoike & Satoshi Sato
2006. Towards Automatic Domain Classification of Technical Terms: Estimating Domain Specificity of a Term Using the Web. In Information Retrieval Technology [Lecture Notes in Computer Science, 4182], ► pp. 633 ff.
Utsuro, Takehito, Mitsuhiro Kida, Masatsugu Tonoike & Satoshi Sato
2006. Collecting Novel Technical Terms from the Web by Estimating Domain Specificity of a Term. In Computer Processing of Oriental Languages. Beyond the Orient: The Research Challenges Ahead [Lecture Notes in Computer Science, 4285], ► pp. 173 ff.
Pazienza, Maria Teresa, Marco Pennacchiotti & Fabio Massimo Zanzotto
2005. Terminology Extraction: An Analysis of Linguistic and Statistical Approaches. In Knowledge Mining [Studies in Fuzziness and Soft Computing, 185], ► pp. 255 ff.
Spasic, I., S. Ananiadou & J. Tsujii
2005. MaSTerClass: a case-based reasoning system for the classification of biomedical terms. Bioinformatics 21:11 ► pp. 2748 ff.
Yoshida, Minoru & Hiroshi Nakagawa
2005. Automatic Term Extraction Based on Perplexity of Compound Words. In Natural Language Processing – IJCNLP 2005 [Lecture Notes in Computer Science, 3651], ► pp. 269 ff.
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