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Showing 1 to 20 of 48 for “"Semantic Relationships"”.
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Some Developments in Multidimensional Scaling Applied to Semantic Relationships
Made available in DSpace on 2014-12-03T23:50:40Z (GMT). No. of bitstreams: 1 0010539.pdf: 9465304 bytes, checksum: 518d249c51825618ec03e151bdc966ba (MD5) Previous issue date: 1954
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A Composite Syntactic-Semantic Interpretable Text Entailment Approach Exploring Commonsense Knowledge Graphs
… poses many challenges, among which is the semantics-related phenomenon known as language variability, the fact that the same thing can be said in several ways. NLP applications' inputs and outputs can be expressed in different forms, whose equivalence can be verified through inference. The …
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How to recommend music to film buffs: enabling the provision of recommendations from multiple domains
… can be overcome by identifying and exploiting semantic relationships between the resources available for recommendation themselves. Moreover, systems that are able to assess the strength of the relationship between any two resources can provide recommendations from multiple domains. For …
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Deep Learning Based Methods for Automatic Extraction of Syntactic Patterns and their Application for Knowledge Discovery
Semantic pairs, which consist of related entities or concepts, serve as the foundation for comprehending the meaning of language in both written and spoken forms. These pairs enable to grasp the nuances of relationships between words, phrases, or ideas, forming the basis for more advanced language …
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Searching for commonsense
… of knowledge in the form of binary semantic relationships, such as cause, effect, intent, and time, among natural language phrases. The central hypothesis is that seed knowledge collected from volunteers enables automated acquisition of this knowledge from a large, unannotated, …
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Improving Topic Tracking with Domain Chaining
… design. First, at the core of our system is a semantic domain chainer. This chainer relies not only on the WordNet database for semantic relationships but also on Magnini's semantic domain database, which is an extension of WordNet. The domain-chaining algorithm is a linear algorithm. Second, …
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Classification of semantic relations in different syntactic structures in medical text using the MeSH hierarchy
… algorithms are evaluated in recognizing semantic relationships of different syntactic compounds. The compounds, which include noun- noun, adjective-noun, noun-adjective, noun-verb, and verb-noun, were extracted from a set of doctors' notes using a part of speech tagger and a parser. Each …
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Visual Element Property Graphs for Bridging the Symbol Description-Recognition Gap
This thesis addresses the semantic gap between visual perception and functional significance of symbols used in road vehicles. It presents a novel approach that enables users to identify and understand automotive symbols by describing what they visually perceive, translating visual descriptions …
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Consideraciones teóricas acerca de la elipsis: Repercusiones semánticas y lexicográficas de la elipsis originadas en combinatoria léxica
… in language, implies, on the one hand, great semantic influences from a diachronic point of view, since it means semantic contamination and produces, in the majority cases, what we call semantic change. On other hand, from a synchronic point of view, ellipsis originated by lexical combination …
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Was the patient cured? : understanding semantic categories and their relationship in patient records
… words and phrases in the text belonging to semantic categories of interest to doctors (semantic category recognition). For disease and symptoms, we determine whether the problem is present, absent, uncertain, or associated with somebody else (assertion classification). Finally, we classify …
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A logical typology for nominal compounds
Semantic analysis of nominal compounds includes characterizing the semantic relationships implicit among the separate elements of nominal compounds. This thesis presents a typology for nominal compound that classifies the binary relationships implicit in nominal compounds according to their status …
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Relation extraction: exploring syntax parsing and constructing it as attention-like structure
… tasks. It is so important since it could extract semantic relationships from corpus. There are several subtasks in relation extraction area, including joint entity and relation recognition, dialog relation extraction and few-shot relation classification. Some literatures have conducted experiments …
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Scaling data mining activities on very large datasets
… This work has been preliminarly validated in the Semantic Web domain, to identify semantic relationships from textual collections with a semi-automatic approach. As a minor topic, the extracion of frequent itemsets from streams of data, modelled as a set of transactional data windows, has also …
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An unsupervised approach to identifying causal relations from relevant scenarios
Semantic relations between various text units play an important role in natural language understanding, as key elements of text coherence. The automatic identification of these semantic relationships is very important for many language processing applications. One of the most pervasive yet very …
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Building a Knowledge Graph for Food, Energy, and Water Systems
… questions regarding entities; and training semantic parsers to enhance the semantic relationships over the Semantic Web. Motivated by these reasons, in this thesis, we develop an approach to build a knowledge graph for the Food, Energy, and Water (FEW) systems given the vast amount of data …
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Extraction of ontology and semantic web information from online business reports
… from the Web. It can create an ontology and a Semantic Web. This research is different from traditional IE systems in that CAINES examines the syntactic and semantic relationships within unstructured text of online business reports. Using CAINES provides more relevant results than manual …
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A Study Of Data Informatics: Data Analysis And Knowledge Discovery Via A Novel Data Mining Algorithm
… of 83.4%. The new algorithm's combination of semantic relationships with template mining significantly improves the recall of fpmies. The study's results also show that fpmies is much more efficient than manually trying to extract information. Finally, the performance of the fpmies system was …
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Propositional and activity monitoring using qualitative spatial reasoning
… parsed into simple, easy to understand primitive semantic relationships known as qualitative spatial relations (QSRs). These primitives are then combined to estimate the state of the world in the same language used by most planners, planning domain definition language (PDDL) propositions. Both the …
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Mining periodicity and object relationship in spatial and temporal data
… interact in a sporadic way, in order to discover semantic relationships, such as friends, colleagues and family. The algorithms have been integrated into our MoveMine system, an online system allowing people to test our data mining methods on a diverse collection of real movement datasets. For …
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A Flexible Framework for Relation Extraction in Multiple Domains
… (RE) refers to the problem of extracting semantic relationships between concepts in a given sentence, and is an important component of Natural Language Understanding (NLU). It has been popularly studied in both the general purpose as well as the medical domains, and researchers have …
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