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Publications related to Semantics (10,000)
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This study conducts a pragmatic analysis of various linguistic deviations skillfully used in Hemingway’s novel The Heart of Darkness. It is confined to the following types of linguistic deviations: internal deviation, lexical deviation, semantic deviation, phonological deviation, morphological deviation, grammatical, and graphological deviation. Al...
Preprint
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Hay ciertos fenómenos lingüísticos, de gran importancia en la semántica más actual, cuya relevancia puede trazarse, etapa tras etapa, desde finales del siglo XIX y durante todo el siglo XX. En este artículo queremos centrarnos en uno de ellos, fundamental en la semántica de corte diacrónico: el cambio de significado causado por el contacto frecuent...
Conference Paper
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Image Captioning as a task that has seen major updates over time. In recent methods, visual-linguistic grounding of the image-text pair is leveraged. This includes either generating the textual description of the objects and entities present within the image in constrained manner, or generating detailed description of these entities as a paragraph....
Article
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Since it is not possible to resort to participant observation, it is extremely difficult to reconstruct the forms and meanings of dance in a past society. This paper, adopting ancient Mesopotamia as its field of investigation, tries to overcome these limitations by resorting to an analysis of the lexicon and narrative of dance. The aim is to recons...
Article
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In the last decade, research on artificial intelligence has seen rapid growth with deep learning models, especially in the field of medical image segmentation. Various studies demonstrated that these models have powerful prediction capabilities and achieved similar results as clinicians. However, recent studies revealed that the evaluation in image...
Article
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Segmenting the tongue body is an essential step for automated tongue diagnosis, which is a challenge task due to the tongue body’s specificity and heterogeneity. The current deep-learning based tongue image segmentation networks are bloated with high computational complexity. In this study, a light-weight segmentation network for tongue images is p...
Article
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In times of crisis, communication by leaders is essential for mobilizing an effective public response. During the COVID-19 pandemic, compliance with public health guidelines has been critical for the prevention of infections and deaths. We assembled a corpus of over 1500 pandemic-related speeches, containing over 4 million words, delivered by all 5...
Article
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Identifying security concerns is a security activity that can be integrated into the requirements development phase. However, it has been shown that manually identifying concerns is a time-consuming and challenging task. The software engineering community has utilized natural language processing and query systems to automatically find part of the r...
Article
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This paper sets out to disentangle the natural developments leading away from encoding semantic relations by inflectional case towards encoding them by means of prepositions, on the one hand, and the impact of the Attistic language ideology on the development of prepositions on the other. Our aim is to describe the major standardisation trends in t...
Article
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Deep learning techniques have the potential to provide versatile solutions for automated semantic segmentation of bridge point clouds, but previous studies were limited to small-scale bridge point clouds and focused on limited bridge component categories due to training sample scarcity. Additionally, no prior work considered the intrinsic data imba...
Article
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The current study examined the extent to which sixth grade students used their pre-existing topic beliefs to guide comprehension of semantic ideas within multiple conflicting texts, and the sources providing them. Adolescents completed an inventory assessing their pre-reading topic beliefs one week prior to the study. During the study, students rea...
Article
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Deep neural networks (DNN) techniques for aspect-based sentiment classification have been widely studied. The success of these methods depends largely on training data which are often inadequate because of the rigor involved in manually tagging large collection of opinionated texts. Attempts have been made to transfer knowledge from document-level...
Conference Paper
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This paper describes CONFident, a tool which is able to automatically prove and disprove confluence of variants of rewrite systems: term rewriting systems, conditional term rewriting systems (using join, oriented, or semi-equational semantics), and context-sensitive term rewriting systems. We introduce a new proof framework to generate proof trees...
Chapter
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This paper argues for the existence of an early possessive classifier *t(V)- that may have distinguished body-parts from the rest of the inalienable nouns in the Mataguayan language family. Evidence of this is the documentation of a t(V)-form or a t(V)-form series in the possessive flexional paradigms in this family. In most cases, it is synchronic...
Conference Paper
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We address the problem of measuring inconsistency in declarative process specifications, with an emphasis on linear temporal logic on fixed traces (LTL ff). As we will show, existing inconsistency measures for classical logic cannot provide a meaningful assessment of inconsistency in LTL in general, as they cannot adequately handle the temporal ope...
Article
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Video object detection is essential for airport surface surveillance, but the objects on the scene are mostly small objects with low resolution, they have no obvious feature information. Due to the scale differences of the objects and the fixed receptive field on the feature maps, detectors cannot model multi‐scale context information and cover all...
Conference Paper
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In today's technological world of privacy-conscious users, the tracking of individuals via different positioning systems and services can be considered obtrusive. Furthermore, linking and integrating data from these positioning systems is not always possible or requires the major effort of creating new interfaces between systems. In this paper, we...
Article
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Amid the proliferation of online news portals, there is a felt need for a re-investigation of the millennial students' metalinguistic knowledge (MK) on the technicality of the headlines. Couched within the Relevance Theory, including the interlarding theories of Communicative Competence and Monitor Hypothesis, this study investigated 80 students' t...
Conference Paper
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The ultimate goal of video prediction is not to predict pixel-perfect future images. Instead, it is desired to extract a valuable internal representation to solve downstream tasks. One of the essential downstream tasks is to understand the semantic composition of the scene and later use it for decision making. For example, an observer robot can ant...
Article
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The COVID-19 pandemic has altered our routines, our conversations, the specific social contexts in which we hear or use certain words, and potentially, the representation of the words related to the disease and its consequences. Here we investigated whether the effects of the pandemic have changed the representation of the affective features of COV...
Article
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Semantic segmentation is a structured prediction problem that heavily relies on expensive annotated image data to train supervised models. Unsupervised domain adaptation has been successful in leveraging synthetic (source) images to build models that generalize well to real (target) image data without annotations. However, previous methods mainly u...
Article
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Predicting the future behaviour of neighbouring agents is crucial for autonomous driving. This task is challenging, largely because of the diverse unobservable intent of each agent which is further complicated by the complex interaction possibilities between them. The authors propose a multi‐future Transformer framework that implicitly models the m...
Article
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This article explores the phenomenon of form-meaning mapping in Old English alliterative verse and presents a new account of its conceptual systematicity. It aims to find instances of regular correlation between the alliterative onsets and the lexical semantics of the words. The data include the alliterative /w/- and /s/-datasets, extracted from Be...
Article
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We study the effects of scientific changes on broader cultural discourse, two phenomena that the economics literature identifies as key drivers of long-term growth, focusing on a unique episode in the history of science: the elaboration of the theory of evolution by Charles Darwin. We measure cultural discourse through the digitized text analysis o...
Article
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Objectives Despite theoretical interest in how dimensions of the built environment can help explain the location of crime in micro−geographic units, measuring this is difficult.Methods This study adopts a strategy that first scrapes images from Google Street View every 20 meters in every street segment in the city of Santa Ana, CA, and then uses ma...
Article
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Accurately reasoning about the relationship between objects play a central role in scene understanding. Due to the complexity of modeling visual relationships and the unbalanced distribution of relationship types, the results obtained by the existing methods are far from satisfying. In this work, we find that the interplay between contextual inform...
Article
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Abstract painting acts as a source of replenishment for the holdings of most museums. Unlike realism or other traditional styles of painting, abstraction does not always allow for changes in external form and internal content. This article is relevant, as when considering the essence of an abstract picture, its main meaning is the search for intern...
Article
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Aspect-level sentiment classification has been widely used by researchers as a fine-grained sentiment classification task to predict the sentiment polarity of specific aspect words in a given sentence. Previous studies have shown relatively good experimental results using graph convolutional networks, so more and more approaches are beginning to ex...
Article
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In this paper, we observe an undergoing transformation in the qualification of the processes of emergence that we call ‘innovation’. First conceived in the industrial mode defined by Schumpeter within the consumer economy context, innovation has now acquired a more general meaning and has been transformed in the understanding of collective action....
Article
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We address the task of automatically scoring the competency of candidates based on textual features, from the automatic speech recognition transcriptions in the asynchronous video job interviews. The key challenge is to construct the dependency relations and semantic level interaction over each question–answer (QA) pair. However, most recent studie...
Article
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Free space detection is a very important task in road scene understanding. With the continued development of convolutional neural networks, free‐space detection can be seen as a class‐specific semantic segmentation problem. In this paper, a new encoding–decoding network structure‐HRUnet is designed, which always maintains the input of high‐resoluti...
Article
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The term Rāfīḍa was widely used in the first centuries. This title was applied to identify Shiite groups in the first century and became widespread in the second and third centuries. There have been various and sometimes contradictory views about this term. The main meaning of this term has evolved over time and other meanings have been added to it...
Article
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Most studies on recommender systems focus on collaborative algorithm approaches over content‐based recommendation due to their better accuracy results. However, the advantage of the latter is that it is more effective and more transparent with user applications. This article proposes WordRecommender, an explainable content‐based algorithm that calc...
Article
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Written word production is influenced by central and peripheral processes. Evidence suggests that the activation of morphological units in the lexicon influences the dynamics of handwriting. In this study, we designed two priming experiments to examine the representation level of morphological information in the lexicon during written word producti...
Conference Paper
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IS professionals often use multiple conceptual modeling scripts to develop an understanding of a domain. However, using multiple scripts introduces potential inconsistencies between scrips which can reduce script readers' cognitive ability to develop an understanding. While there are computational methods to avoid or detect inconsistencies, there i...
Chapter
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Philosophers frequently draw on natural language to motivate properties, propositions, and numbers as objects, and it is generally taken for granted that abstract objects of this sort are well-reflected in natural language and in fact that reference to them in natural language is pervasive In this paper, I will review and modify in a certain way th...
Conference Paper
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Current human digitization techniques from a single image are showing promising results when it comes to the quality of the estimated geometry, but they often fall short when it comes to the texture of the generated 3D model, especially on the occluded side of the person, while some others do not even output a texture for the model. Our goal in thi...
Article
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According to the theory of embodied cognition, semantic processing is closely coupled with body movements. For example, constraining hand movements inhibits memory for objects that can be manipulated with the hands. However, it has not been confirmed whether body constraint reduces brain activity related to semantics. We measured the effect of hand...
Article
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An efficient video shot boundary detection is highly desirable for subsequent semantic video content analysis and retrieval applications. The major challenge of shot boundary detection problem is an appropriate choice of features to handle the illumination variation and motion artifacts of frames while finding the boundary in a shot. In this paper,...
Conference Paper
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The study aimed to examine Iranian EFL learners' awareness of refusals. In so doing, the purposes were: (1) codifying natives and non-natives' refusal supportive moves based on Beebe, Takahashi, and Uliss-Weltz's (1990) rationale, (2) identifying attitudinal appropriateness in the structures produced by the non-natives, (3) determining the learners...
Article
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We consider the competition between instance and semantic segmentation in panoptic segmentation to develop the deep chain instance segmentation network (ChaInNet) to mitigate this problem. Segmentation competition is caused by the usual contradiction between instance and semantic segmentation when predicting instance objects. ChaInNet alternately p...
Research
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In today's fast growing world we are blessed with infinite knowledge and thus infinite bundle of text, especially in the web. So it is important to finite the text so it becomes easy to ingest the knowledge. Summaries of long documents, news articles, or even conversations will help us to consume content faster and more efficiently. It isn't easy t...
Article
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Producing a large family of resource-constrained multi-processing systems on chips (MPSoC) is challenging, and the existing techniques are generally geared toward a single product. When they are leveraged for a variety of products, they are expensive and complex. Further in the industry, a considerable lack of analysis support at the architectural...
Conference Paper
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This study intended to give an account of suggestion speech act awareness among Iranian EFL learners. To fulfil the aim, the study was designed based on four-fold purposes: (a) Iranian EFL learners' application of suggestion semantic formulae; (b) their attitude of appropriateness in terms of confidence in the employment of appropriate supportive m...
Article
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En este trabajo, se presentan los gráficos existenciales para el cálculo proposicional paraconsistente, KT4P. Este sistema deductivo, es un fragmento de la lógica proposicional modal S4, y se construye a partir del cálculo proposicional clásico positivo, junto con un operador de negación débil. El sistema KT 4P, se encuentra caracterizado por una s...
Article
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Temporal knowledge graphs (TKGs) have become an effective tool for numerous intelligent applications. Due to their incompleteness, TKG embedding methods have been proposed to infer the missing temporal facts, and work by learning latent representations for entities, relations and timestamps. However, these methods primarily focus on measuring the p...
Preprint
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Semantic communications has received growing interest since it can remarkably reduce the amount of data to be transmitted without missing critical information. Most existing works explore the semantic encoding and transmission for text and apply techniques in Natural Language Processing (NLP) to interpret the meaning of the text. In this paper, we...
Preprint
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We extend Lawvere-Pitts prop-categories (aka. hyperdoctrines) to develop a general framework for providing “algebraic” semantics for non-classical first-order logics. This framework includes a natural notion of substitution, which allows first-order logics to be considered as structural closure operators just as propositional logics are in abstract...
Preprint
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The generalizability to new databases is of vital importance to Text-to-SQL systems which aim to parse human utterances into SQL statements. Existing works achieve this goal by leveraging the exact matching method to identify the lexical matching between the question words and the schema items. However, these methods fail in other challenging scena...
Article
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Automatic segmentation of the liver in abdominal CT images is critical for guiding liver cancer biopsies and treatment planning. Yet, automatic segmentation of CT liver images remains challenging due to the poor contrast between the liver and surrounding organs in abdominal CT images. In this paper, we propose a novel network for liver segmentation...
Preprint
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Perception systems for autonomous driving have seen significant advancements in their performance over last few years. However, these systems struggle to show robustness in extreme weather conditions because sensors like lidars and cameras, which are the primary sensors in a sensor suite, see a decline in performance under these conditions. In orde...
Article
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Few-shot semantic segmentation tackles the problem of recognizing novel class objects from images with only a few annotated exemplars. The key problem in few-shot semantic segmentation is how to effectively model the correspondences between support and query features. Previous works propose to tackle the problem by prototype matching or distance ba...
Book
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Once upon one time, in the realm of Syteeria, King Indicative and Queen Semantics became the proud parents of not one, but three baby boys. But Present-Simple, Future-Simple, and Past-Simple were destined to be more than Syteerian princes, with a unique price to pay – a price beyond any space and time. The Three Emperors has provided inspiration fo...
Preprint
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Progress in GANs has enabled the generation of high-resolution photorealistic images of astonishing quality. StyleGANs allow for compelling attribute modification on such images via mathematical operations on the latent style vectors in the W/W+ space that effectively modulate the rich hierarchical representations of the generator. Such operations...
Preprint
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We prove that the provability logic of all provability predicates is exactly Fitting, Marek, and Truszczy\'nski's pure logic of necessitation $\mathsf{N}$. Moreover, we introduce three extensions $\mathsf{N4}$, $\mathsf{NR}$, and $\mathsf{NR4}$ of $\mathsf{N}$ and investigate the arithmetical semantics of these logics. In fact, we prove that $\math...
Article
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Pretrained language models (PLMs) exemplified by BERT have proven to be remarkably effective for ad hoc ranking. As opposed to pre-BERT models that required specialized neural components to capture different aspects of query-document relevance, PLMs are solely based on transformers where attention is the only mechanism used for extracting signals f...
Article
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English every -DPs can have cumulative readings relative to plural DPs, but only under severe syntactic constraints. This paper discusses different potential formulations of these constraints for the German correlate of every -DPs, jed -DPs. We argue that existing ‘surface-oriented’ hypotheses face empirical problems and propose a new hypothesis, n...
Preprint
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A window function is a generalization of the aggregation operation. Unlike aggregation, the cardinality of its output is always the same as the cardinality of input. That is, the semantics of this operator imply computing values for extra attributes for each row, depending on its context, either expressed by a sliding window or a previously evaluat...
Article
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Earth observation (EO) data cubes have revolutionized the way large volumes of EO data can be stored, accessed, and processed. However, users coming from application domains outside of traditional EO research still face some significant technical barriers when querying an EO data cube with the aim to infer knew knowledge about real world entities a...
Article
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This article presents a proposal for data collection from textual resources in history and the social sciences that we call Computer-Assisted Semantic Text Modelling (CASTEMO). The CASTEMO data model and data collection workflow is based on detailed, yet flexible semantic encoding of the original natural-language syntactic structure and wording: tr...
Article
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This paper addresses the task of fine-grained label learning in object detection with the weak supervision of auxiliary information attached to images. Most of the recent work focused on the label prediction for objects in the same category space as in training data under the fully-supervised learning framework and cannot be expanded to the learnin...
Article
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Some experiences linger in mind, spontaneously returning to our thoughts for minutes after their conclusion. Other experiences fall out of mind immediately. It remains unclear why. We hypothesize that an input is more likely to persist in our thoughts when it has been deeply processed: when we have extracted its situational meaning rather than its...