Results 101 to 110 of about 325 (164)
Towards Semantic Sensor Data: An Ontology Approach. [PDF]
Sensors (Basel), 2019 Liu J +4 more
europepmc +1 more source
SememeLM: A Sememe Knowledge Enhanced Method for Long-tail Relation Representation
Recognizing relations between two words is a fundamental task with the broad applications. Different from extracting relations from text, it is difficult to identify relations among words without their contexts.
Li, Shuyi +3 more
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On two expressions of negative mental state (hatred, fear)
, 2015 There is no indisputable recorded evidence of a fundamental non-negative form of the Old Church Slavic and Slavic verb nenaviděti (it is necessary to revise some opposite views in this respect).
Nejedlý, Petr
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Verbs of speaking and humor in Ćopić’s literary work [PDF]
, 2014 У раду се са лексичко-семантичког становишта анализирају глаголи говорења који представљају важне носиоце хумора у Ћопићевим делима. Циљ нашег истра-живања је да укажемо на то како се избором одређеног лексичког средства (у овом случају глагола) у датом ...
Маринковић-Мандић, Ивана З. +1 more
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, 1972 This paper attempts to present a few hypothetical proposals on the internal structure of a sememe.A sememe in this paper means that of the sememic theory which was initiated by Dr.Hattori and has been expounded by Prof.Kunihiro.
[Sugiura, Shigeo]
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Neuere Erkenntnisse zu den Strukturprinzipien von Wortbedeutungen und ihre Widerspiegelung in Wörterbüchern [PDF]
, 2017 Ausgehend von der Einsicht, dass Wortbedeutungen (Sememe) als strukturierte Komplexe semantischer Merkmale (SM oder Seme) aufgefasst werden können, wurden in den zurückliegenden Jahren verschiedene Ermittlungs- und Beschreibungsmethoden für die ...
Herberg, Dieter
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A hierarchical method to automatically encode Chinese diagnoses through semantic similarity estimation. [PDF]
BMC Med Inform Decis Mak, 2016 Ning W, Yu M, Zhang R.
europepmc +1 more source
Crohn's disease and pregnancy. [PDF]
Br Med J, 1972 De Dombal FT, Burton IL, Goligher JC.
europepmc +1 more source
A NEW FEATURE SELECTION METHOD BASED ON CONCEPT EXTRACTION IN AUTOMATIC CHINESE TEXT CLASSIFICATION
The feature selection is an important part in automatic text classification. In this paper, we use a Chinese semantic dictionary — Hownet to extract the concepts from the word as the feature set, because it can better reflect the meaning of the text ...
SHASHA LIAO, MINGHU JIANG
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