semantic level
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2022 ◽  
Vol 12 (1) ◽  
pp. 499
Author(s):  
Ying Zhou ◽  
Xiaokang Hu ◽  
Vera Chung

Paraphrase detection and generation are important natural language processing (NLP) tasks. Yet the term paraphrase is broad enough to include many fine-grained relations. This leads to different tolerance levels of semantic divergence in the positive paraphrase class among publicly available paraphrase datasets. Such variation can affect the generalisability of paraphrase classification models. It may also impact the predictability of paraphrase generation models. This paper presents a new model which can use few corpora of fine-grained paraphrase relations to construct automatically using language inference models. The fine-grained sentence level paraphrase relations are defined based on word and phrase level counterparts. We demonstrate that the fine-grained labels from our proposed system can make it possible to generate paraphrases at desirable semantic level. The new labels could also contribute to general sentence embedding techniques.


The study investigates the stylistic features of English football news from the perspective of general stylistics. Stylistics, as a discipline based on modern linguistic theories, turns to studying non-literary texts from the perspective of stylistics. The study examines English football news from the three levels of stylistic analysis, namely lexis, syntax and semantics. Compared with other news types, English football news are less attracted to linguistics, and most of the previous studies are focused on the research of the title. This study employs samples of English football news from the official website of the 2018 World Cup in Russia. The findings of this study suggest that at the lexical level, the use of technical terms, abbreviation, nicknames, neologism and numbers highlights the uniqueness of English football news in lexical use, thereby saving space, increasing readability and narrowing the distance between news editors and readers; at the syntactic level, the special stylistic features of English football news are mainly reflected in the unmarked theme and singular form of a plural concept; and the use of rhetorical devices such as metaphor, hyperbole and personification to achieve semantic variation reflects the stylistic features of English football news at the semantic level.


The study investigates the stylistic features of English football news from the perspective of general stylistics. Stylistics, as a discipline based on modern linguistic theories, turns to studying non-literary texts from the perspective of stylistics. The study examines English football news from the three levels of stylistic analysis, namely lexis, syntax and semantics. Compared with other news types, English football news are less attracted to linguistics, and most of the previous studies are focused on the research of the title. This study employs samples of English football news from the official website of the 2018 World Cup in Russia. The findings of this study suggest that at the lexical level, the use of technical terms, abbreviation, nicknames, neologism and numbers highlights the uniqueness of English football news in lexical use, thereby saving space, increasing readability and narrowing the distance between news editors and readers; at the syntactic level, the special stylistic features of English football news are mainly reflected in the unmarked theme and singular form of a plural concept; and the use of rhetorical devices such as metaphor, hyperbole and personification to achieve semantic variation reflects the stylistic features of English football news at the semantic level.


Author(s):  
E.A. Generalova

This article is devoted to the study of the verbal-semantic level (Thesaurus-I) of the secondary linguistic personality based on the analysis of texts on economic and financial topics. 8 texts (17,348 words, 97,712 characters, 132 minutes 36 seconds), which are transcripts of a monologue public speech by non-native English speakers at a TED conference, and 10 texts (19,227 words, 110,133 characters, 125 minutes 44 seconds), which are transcripts of native English speakers’ speeches, are served as the material for this study. The paper presents the results of a statistical analysis of the use of words frequency, proving the fact that Thesaurus-I of the secondary linguistic personality under analysis corresponds to the verbal-semantic level of native speakers. Further, the results of a statistical analysis of the use of Word Classes frequency are given indicating that the analyzed texts are a reflection of the real English language picture of the world. In addition, a thesaurus of English texts of an economic orientation has been built and analyzed, which allows describing the main characteristics of an English language picture of the world fragment, verbalized in texts of an economic orientation, and highlighting its inherent archetypes.


2021 ◽  
Vol 13 (4-1) ◽  
pp. 129-138
Author(s):  
Liubov Karelova ◽  

Ability of knowledge and thinking operations, such as abstraction, comparison syllogisms and so on, are of course common to all peoples. Nevertheless, when referring to this or that specifi c cultural material, the problem of the existence of separate epistemic cultures arises. Contemporary research on epistemological diversity relies primarily on methods of analytic epistemology and focuses on identifying examples of ‘cross-linguistic divergence’ at the semantic level. The concepts of ‘know’ and ‘knowledge’ often become the object of research. However, there are suffi cient grounds for identifying and studying epistemic cultures also in terms of other parameters. This article is focused upon highlighting these parameters by referring to examples of the history of the Japanese spiritual tradition associated with Buddhist and Confucian teachings. In particular, the author examines the Buddhist doctrines of two truths and the identity of absolute being and the phenomenal world, as well as the neo-Confucian principle of the unity of knowledge and action from the point of view of their infl uence on the epistemological attitudes of Japanese culture. The undertaken analytic excursion allows, using the example of Japan, to show that each culture has its own set of assumptions underlying the cognitive strategy, certain preferences, more or less trust in relation to one or another form of acquiring knowledge, e.g., sensoryempirical, rational, intuitive forms, as well as ideas about the goals of cognition, differently perceived in diverse cultural and historical contexts.


2021 ◽  
pp. 1-42
Author(s):  
Tirthankar Ghosal ◽  
Tanik Saikh ◽  
Tameesh Biswas ◽  
Asif Ekbal ◽  
Pushpak Bhattacharyya

Abstract The quest for new information is an inborn human trait and has always been quintessential for human survival and progress. Novelty drives curiosity, which in turn drives innovation. In Natural Language Processing (NLP), Novelty Detection refers to finding text that has some new information to offer with respect to whatever is earlier seen or known. With the exponential growth of information all across the web, there is an accompanying menace of redundancy. A considerable portion of the web contents are duplicates, and we need efficient mechanisms to retain new information and filter out redundant ones. However, detecting redundancy at the semantic level and identifying novel text is not straightforward because the text may have less lexical overlap yet convey the same information. On top of that, non-novel/redundant information in a document may have assimilated from multiple source documents, not just one. The problem surmounts when the subject of the discourse is documents, and numerous prior documents need to be processed to ascertain the novelty/non-novelty of the current one in concern. In this work, we build upon our earlier investigations for document-level novelty detection and present a comprehensive account of our efforts towards the problem. We explore the role of pre-trained Textual Entailment (TE) models to deal with multiple source contexts and present the outcome of our current investigations. We argue that a multi-premise entailment task is one close approximation towards identifying semantic-level non-novelty. Our recent approach either performs comparably or achieves significant improvement over the latest reported results on several datasets and across several related tasks (paraphrasing, plagiarism, rewrite). We critically analyze our performance with respect to the existing state-of-the-art and show the superiority and promise of our approach for future investigations. We also present our enhanced dataset TAP-DLND 2.0 and several baselines to the community for further researchon document-level novelty detection.


2021 ◽  
Vol 6 (2) ◽  
pp. 161-167
Author(s):  
Eduard Yakubchykt ◽  
◽  
Iryna Yurchak

Finding similar images on a visual sample is a difficult AI task, to solve which many works are devoted. The problem is to determine the essential properties of images of low and higher semantic level. Based on them, a vector of features is built, which will be used in the future to compare pairs of images. Each pair always includes an image from the collection and a sample image that the user is looking for. The result of the comparison is a quantity called the visual relativity of the images. Image properties are called features and are evaluated by calculation algorithms. Image features can be divided into low-level and high-level. Low-level features include basic colors, textures, shapes, significant elements of the whole image. These features are used as part of more complex recognition tasks. The main progress is in the definition of high-level features, which is associated with understanding the content of images. In this paper, research of modern algorithms is done for finding similar images in large multimedia databases. The main problems of determining high-level image features, algorithms of overcoming them and application of effective algorithms are described. The algorithms used to quickly determine the semantic content and improve the search accuracy of similar images are presented. The aim: The purpose of work is to conduct comparative analysis of modern image retrieval algorithms and retrieve its weakness and strength.


2021 ◽  
Author(s):  
Marco Dorati

The paper analyses the presence and function of curses in Sophocles’ Antigone. In particular, it explores the interaction that the introduction of predetermined elements into the plot of the tragedy creates with the pre-existing fate. Scarcely relevant on the level of the actual development of events, the curse nevertheless plays a significant role on the semantic level.


Author(s):  
Mariana Burca ◽  
Virginie Beaucousin ◽  
Pierre Chausse ◽  
Ludovic Ferrand ◽  
Benjamin A. Parris ◽  
...  

Abstract. This research addressed current controversies concerning the contribution of semantic conflict to the Stroop interference effect and its reduction by a single-letter coloring and cueing procedure. On the first issue, it provides, for the first time, unambiguous evidence for a contribution of semantic conflict to the (overall) Stroop interference effect. The reported data remained inconclusive on the second issue, despite being collected in a considerable sample and analyzed with both classical (frequentist) and Bayesian inferential approaches. Given that in all past Stroop studies, semantic conflict was possibly confounded with either response conflict (e.g., when semantic-associative items [ SKYblue] are used to induce semantic conflict) or with facilitation (when color-congruent items [ BLUEblue] are used as baseline to derive a magnitude for semantic conflict), its genuine contribution to the Stroop interference effect is the most critical result reported in the present study. Indeed, it leaves no doubt – in complete contrast to dominant single-stage response competition models (e.g., Roelofs, 2003 ) – that selection occurs at the semantic level in the Stroop task. The immediate implications for the composite (as opposed to unitary) nature of the Stroop interference effect and other still unresolved issues in the Stroop literature are outlined further.


2021 ◽  
Author(s):  
Marco Onorato

In Symposius’ riddle 65 the virtuosic mixture of multiple referential fields seems to hide some echoes from the astronomical tradition on the constellation of the Arrow. The disclosure of this semantic level is not incompatible with the literal interpretation of the verses and testifies to Symposius’ original approach to kosmische Rätsel.


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