Abstract Few-shot relation extraction is one of the current research focuses. The key to this fully extract semantic information through very little training data. Intuitively, raising semantics awareness in sentences can improve efficiency model features alleviate overfitting problem few-shot learning. Therefore, we propose an enhanced feature based on prototype network relations from texts. F...

Ontology is the basis of sharing and reusing knowledge on the Semantic Web, and ontology-based semantic retrieval is a hotspot of current research. Fuzzy ontology is an extension of domain ontology for solving the uncertainty problems. To represent fuzzy knowledge more effectively, this paper presents a new series of fuzzy ontology models that consists of fuzzy domain ontology and fuzzy linguis...

Semantic relation prediction aims to mine the implicit relationships between objects in heterogeneous graphs, which consist of different types and links. In real-world scenarios, new semantic relations constantly emerge they typically appear with only a few labeled data. Since variety exist multiple transferable knowledge can be mined from some existing help predict This inspires novel problem ...

abstract the word science has gone through semantic change in different historical periods and in relation to the cultural and social circumstances of the time and thus has been used in various senses. a semantic study of word in the pre- and post-islamic eras will reveal that the word has been used in different and even opposite senses. this means that, in the age of ignorance (pre-islamic era...

we deal with a wide range of colors in our daily life. they are such ubiquitous phenomena that is hard and next to impossible to imagine even a single entity (be it an object, place, living creature, etc) devoid of them. they are like death and tax which nobody can dispense with. this omnipresence of colors around us has also made its way through abstract and less tangible entities via the inte...

Information retrieval is the essential task for Traffic Information Service System in Intelligent Transportation Systems (ITS). There a lot of fuzzy traffic information derived from human factor. To achieve fuzzy semantic retrieval, this paper proposes an approach using Resource Description Framework (RDF) and fuzzy ontology. First, we apply RDF data model to represent traffic information on th...

Information retrieval is the important work for Electronic Commerce. Ontology-based semantic retrieval is a hotspot of current research. In order to achieve fuzzy semantic retrieval, this paper applies a fuzzy ontology framework to information retrieval system in E-Commerce. The framework includes three parts: concepts, properties of concepts and values of properties, in which property’s value ...

In translation, choosing appropriate equivalent is essential to convey the right message from source-text to target-text, and one of the issues that may have a determinative role in appropriate equivalent choice is the semantic prosody (SP) behavior of words and the relation existing between the SP of a word and semantic senses (i.e. negativity, positivity or neutrality) of its collocations in ...