Exploring Semantic Concreteness and Abstractness for Metaphor Identification and Beyond
The paper presents a method for computing indexes of semantic concreteness and abstractness in two languages (Russian and English). These indexes are used in metaphor identification experiments in both languages; the results are either comparable to or surpass pervious work and the baselines. We analyze the obtained indexes of concreteness and abstractness to see how they align with the linguistic intuitions about the corresponding semantic categories. The results of the analysis may have broader implications for computational studies of the semantics of concreteness and abstractness.
Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 17 июня — 20 июня 2020 г.)
Вып. 19(26). , М. : Изд-во РГГУ, 2020
This 2-volume set constitutes the refereed proceedings of the 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019, held in Madrid, Spain, in July 2019. The 99 papers in these volumes were carefully reviewed and selected from 137 submissions. They are organized in topical sections named: Part I: best ranked papers; machine learning; pattern recognition; ...
Added: September 23, 2019
This volume constitutes the refereed proceedings of the 4th International Conference on Digital Transformation and Global Society, DTGS 2019, held in St. Petersburg, Russia, in June 2019. The 56 revised full papers and 9 short papers presented in the volume were carefully reviewed and selected from 194 submissions. The papers are organized in topical sections on ...
Added: February 22, 2020
Cham : Springer, 2018
This book constitutes the proceedings of the 16th Russian Conference on Artificial Intelligence, RCAI 2018, Moscow, Russia, in September 2018. The 22 full papers presented along with 4 short papers in this volume were carefully reviewed and selected from 75 submissions. The conference deals with a wide range of topics, including data mining and knowledge discovery, text mining, ...
Added: November 10, 2018
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium -23rd International Conference, AIED 2022, Durham, UK, July 27–31, 2022, Proceedings, Part II
This two-volume set LNAI 13355 and 13356 constitutes the refereed proceedings of the 23rd International Conference on Artificial Intelligence in Education, AIED 2022, held in Durham, UK, in July 2022. The 40 full papers and 40 short papers presented together with 2 keynotes, 6 industry papers, 12 DC papers, 6 Workshop papers, 10 Practitioner papers, 97 ...
Added: July 28, 2022
, , , , in : Proceedings of the Artificial Intelligence and Natural Language AINL FRUCT 2016 Conference, Saint-Petersburg, Russia, 10-12 November 2016. : FRUCT Oy, 2016. P. 31-36.
With the process of globalization the number of borrowings from English has rapidly increased in languages all over the world. In systems of automatic speech recognition, spell-checking, tagging and other tasks in the field of natural language processing the loan words frequently cause problems and should be treat separately. In this paper we present a ...
Added: October 19, 2016
AIST: International Conference on Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers
This book constitutes the proceedings of the 8th International Conference on Analysis of Images, Social Networks and Texts, AIST 2019, held in Kazan, Russia, in July 2019. The 24 full papers and 10 short papers were carefully reviewed and selected from 134 submissions (of which 21 papers were rejected without being reviewed). The papers are organized ...
Added: February 9, 2020
, , , in : Computational Linguistics and Intellectual Technologies. Papers from the Annual International Conference “Dialogue” (2015). Issue 14(21).: M. : Russian State University for the Humanitie, 2015. P. 143-154.
Distributed vector representations for natural language vocabulary get a lot of attention in contemporary computational linguistics. This paper summarizes the experience of applying neural network language models to the task of calculating semantic similarity for Russian. The experiments were performed in the course of Russian Semantic Similarity Evaluation track, where our models took from 2nd ...
Added: May 31, 2015
, , et al., , in : Computational Linguistics and Intellectual Technologies: Proceedings of the Annual International Conference “Dialogue” (2016). : М. : Изд-во РГГУ, 2016. P. 225-236.
This paper provides an alternative method to extracting object-based sentiment in text messages, based on modified method previously proposed by Mingbo , in which we first parse the syntax, and then correlate the sentiment with the object of analysis (also referred to as entity by some, therefore, used in this article interchangeably). We show two ...
Added: October 7, 2016
Foundations of Intelligent Systems. 25th International Symposium on Methodologies for Intelligent Systems: ISMIS 2020
This book constitutes the proceedings of the 25th International Symposium on Foundations of Intelligent Systems, ISMIS 2020, held in Graz, Austria, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 35 full and 8 short papers presented in this volume were carefully reviewed and selected from 79 submissions. Included is also ...
Added: October 4, 2020
, , , in : Supplementary Proceedings of the 5th International Conference on Analysis of Images, Social Networks and Texts (AIST-SUP 2016), Yekaterinburg, Russia, April 7-9, 2016. Vol. 1710.: Aachen : CEUR Workshop Proceedings, 2016. P. 155-161.
The paper presents a free and open source toolkit which aim is to quickly deploy web services handling distributed vector models of semantics. It fills in the gap between training such models (many tools are already available for this) and dissemination of the results to general public. Our toolkit, WebVectors, provides all the necessary routines for ...
Added: April 20, 2017
Computer and metaphor: when lexicon, morphology, punctuation, and other beasts fail to predict sentence metaphoricity
, , , , in : Когнитивные исследования языка. Вып. XXXVII: Интегративные процессы в когнитивной лингвистике: материалы международного конгресса по когнитивной лингвистике. Т. XXXVII: Интегративные процессы в когнитивной лингвистике: материалы международного конгресса по когнитивной лингвистике.: Деком, 2019. Ch. IV. P. 609-615.
The paper provides linguistic explanations to the results of the supervised machine learning experiments for identification of verbal metaphor in Russian texts. We look at the classification accuracy of models based on different features (distributional semantics and lexical and morphosyntactic co-occurrence, etc.) and explore the behavior of verb constructions and wider context in order to investigate the reasons behind the ...
Added: October 23, 2019
, , , , in : Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning. : Berlin : Association for Computational Linguistics, 2016. P. 115-125.
This paper studies how word embeddings trained on the British National Corpus interact with part of speech boundaries. Our work targets the Universal PoS tag set, which is currently actively being used for annotation of a range of languages. We experiment with training classifiers for predicting PoS tags for words based on their embeddings. The ...
Added: November 12, 2016
, , , in : Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 31 мая — 3 июня 2017 г.). Вып. 16 (23): В 2 т. Т. 1.: М. : Изд-во РГГУ, 2017. P. 179-190.
Our experiment is aimed at evaluating the performance of distributional semantic features in metaphor identification in Russian raw text. We apply two types of distributional features representing similarity between the metaphoric/ literal verb and its syntactic or linear context. Our approach is evaluated on a dataset of nine Russian verb context, which is made available to the community. The results ...
Added: August 30, 2018
, , et al., Plos One 2022 Vol. 17 No. 10 Article e0275814
Artificial intelligence and machine learning have demonstrated remarkable results in science and applied work. However, present AI models, developed to be run on computers but used in human-driven applications, create a visible disconnect between AI forms of processing and human ways of discovering and using knowledge. In this work, we introduce a new concept of ...
Added: October 29, 2022
, Логистика и управление цепями поставок 2018 № 4 (87) С. 27-33
One of the options for a more flexible approach to analyzing the reliability of supply chains is the principal component analysis (PCA). With a large number of variables describing supply chain, it is a difficult task to analyze the structure of variables in two-dimensional space. Within the analysis of the variables dependencies PCA allows to ...
Added: November 29, 2018
, , Journal of Economic Asymmetries 2022 Vol. 25 Article e00238
We conduct an open search of predictors of global real economic activity. To this end, we apply a predictive quantile regression framework, using four alternative proxies of global real economic activity during February 1997–August 2019 and building on a combination of machine learning algorithms to identify their predictors out of 23 candidate explanatory variables. The contemporaneous level ...
Added: February 10, 2022
Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at ECAI 2014)
Prague : CEUR Workshop Proceedings, 2014
The first and the second edition of the FCA4AI Workshop showed that many researchers working in Artificial Intelligence are indeed interested by a well-founded method for classi- fication and mining such as Formal Concept Analysis (see http://www.fca4ai.hse.ru/). The first edition of FCA4AI was co-located with ECAI 2012 in Montpellier and published as http://ceur-ws.org/Vol-939/ while the ...
Added: September 12, 2014
Learning and Intelligent Optimization. 8th International Conference, Lion 8, Gainesville, FL, USA, February 16-21, 2014. Revised Selected Papers
This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on Learning and Optimization, LION 8, which was held in Gainesville, FL, USA, in February 2014. The 33 contributions presented were carefully reviewed and selected for inclusion in this book. A large variety of topics are covered, such as algorithm configuration; multiobjective ...
Added: September 15, 2014
, , et al., Journal of Cheminformatics 2022 Vol. 14 Article 49
Polypharmacy refers to the administration of multiple drugs on a daily basis. It has demonstrated effectiveness in treating many complex diseases , but it has a higher risk of adverse drug reactions. Hence, the prediction of polypharmacy side effects is an essential step in drug testing, especially for new drugs. This paper shows that the ...
Added: October 11, 2022
, , et al., Journal of High Energy Physics 2019 Vol. 2019 No. 2 P. 1-33
A search for CP violation in the Cabibbo-suppressed D0 → K+K−π+π− decay mode is performed using an amplitude analysis. The measurement uses a sample of pp collisions recorded by the LHCb experiment during 2011 and 2012, corresponding to an integrated luminosity of 3.0 fb−1. The D0 mesons are reconstructed from semileptonic b-hadron decays into D0μ−X final states. The selected sample contains more than 160 000 signal decays, allowing ...
Added: March 17, 2019
Proceedings of the international conference on Uncertainty in Artificial Intelligence (UAI 2018) ...
Added: October 29, 2018
, , in : Software Quality: Future Perspectives on Software Engineering Quality: 13th International Conference, SWQD 2021, Vienna, Austria, January 19–21, 2021, Proceedings. : Springer, 2021. P. 54-65.
In this concept paper, we explore some of the aspects of quality of continuous learning artificial intelligence systems as they interact with and influence their environment. We study an important problem of implicit feedback loops that occurs in recommendation systems, web bulletins and price estimation systems. We demonstrate how feedback loops intervene with user behavior ...
Added: September 23, 2021
, , , , in : I-SEMANTICS'10. Proceedings of the 6th International Conference on Semantic Systems. : NY : ACM, 2010. Ch. 39. P. 246-247.
This project describes an application for creating ubiquitous hypertext on the Web, which enhances the user experience by allowing clipping and sharing the information. The goal of the application is to annotate text and link it to relevant content, especially from the Linked Open Data community and from the Ontos knowledge base. The paper describes ...
Added: October 19, 2014