Knowledge Based Word Sense Disambiguation with Distributional Semantic Expansion for the Persian Language

Rouhizadeh, Hossein; Shamsfard, Mehrnoush; Rouhizadeh, Masoud

doi:10.1109/iccke50421.2020.9303675

Cited by 4 publications

(2 citation statements)

References 21 publications

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“…The climatic conditions of Tabriz are such that in some months of the year, in order to achieve thermal comfort, in addition to inactive measures, active heating measures are also necessary. National Building Regulations number 19 considers the buildings of Tabriz to be in the group of buildings with high energy consumption and need predominant thermal heating (Rouhizadeh and Farrokhzad, 2020). (Table 1)…”

Section: Climatic Region Studiesmentioning

confidence: 99%

Evaluation of Optimal Criteria for Designing Solar Greenhouses in Cold Climate Residential Buildings (Case Study: Tabriz, Iran)

Babaei,

Alavi,

Almardani

et al. 2023

ICONARP

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Since a major part of energy in cold climates is spent on heating, using alternative methods to heat buildings is of particular importance for buildings. Solar greenhouses are inactive building solutions that absorb solar energy to provide heating in the side spaces. Greenhouse efficiency depends on several factors. The research carried out so far has used these factors in the design of a solar greenhouse to reduce energy consumption, which has finally been compared with the non-applied state of this system. The purpose of this study is to investigate the physical characteristics such as “depth”, “protrusion”, “roof slope”, and “orientation” of solar greenhouses and the influence of each factor in different modes and hours in the cold climate of Tabriz. For this purpose, a simulation has been made using “Energy Plus” software. In the next step, the optimal modes of solar greenhouse design are presented by comparing the different states of each physical factor on the first and the middle day of each month in a 6-hours period. Research results show; increasing the surface while the sun is shining and using more depth when there is no sun will maintain indoor temperature. Also, using two or three-way greenhouses (east and south) increases the efficiency of the greenhouse by 30%. The roof slope has no effect on heating the room adjacent to the greenhouse. Also, the absence of protrusions helps adjust the room temperature relative to the outside environment by up to 20 %. No significant effect on temperature was observed in calculating the ratio of greenhouse area to room area in summer. But in the cold season, a large greenhouse area greatly impacts by up to 15 %.

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Section: Climatic Region Studiesmentioning

confidence: 99%

Evaluation of Optimal Criteria for Designing Solar Greenhouses in Cold Climate Residential Buildings (Case Study: Tabriz, Iran)

Babaei,

Alavi,

Almardani

et al. 2023

ICONARP

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show abstract

“…However, these models are expensive to build the training data because they require a large corpus containing semantic information for word senses. Therefore, using external resources such as WordNet, knowledge-based word sense disambiguation is a good approach for word sense disambiguation [24][25][26]. In this study, the relationship between ambiguous words and co-occurrence words within a context is determined using a Korean lexical-semantic network.…”

Section: Related Studymentioning

confidence: 99%

Word Sense Disambiguation Using Prior Probability Estimation Based on the Korean WordNet

Kim

Kwon

2021

Electronics

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Supervised disambiguation using a large amount of corpus data delivers better performance than other word sense disambiguation methods. However, it is not easy to construct large-scale, sense-tagged corpora since this requires high cost and time. On the other hand, implementing unsupervised disambiguation is relatively easy, although most of the efforts have not been satisfactory. A primary reason for the performance degradation of unsupervised disambiguation is that the semantic occurrence probability of ambiguous words is not available. Hence, a data deficiency problem occurs while determining the dependency between words. This paper proposes an unsupervised disambiguation method using a prior probability estimation based on the Korean WordNet. This performs better than supervised disambiguation. In the Korean WordNet, all the words have similar semantic characteristics to their related words. Thus, it is assumed that the dependency between words is the same as the dependency between their related words. This resolves the data deficiency problem by determining the dependency between words by calculating the χ2 statistic between related words. Moreover, in order to have the same effect as using the semantic occurrence probability as prior probability, which is used in supervised disambiguation, semantically related words of ambiguous vocabulary are obtained and utilized as prior probability data. An experiment was conducted with Korean, English, and Chinese to evaluate the performance of our proposed lexical disambiguation method. We found that our proposed method had better performance than supervised disambiguation methods even though our method is based on unsupervised disambiguation (using a knowledge-based approach).

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Word Sense Disambiguation for Indian Regional Language Using BERT Model

Chandrika¹,

Kallimani²

2022

Smart Innovation, Systems and Technologies

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Knowledge Based Word Sense Disambiguation with Distributional Semantic Expansion for the Persian Language

Cited by 4 publications

References 21 publications

Evaluation of Optimal Criteria for Designing Solar Greenhouses in Cold Climate Residential Buildings (Case Study: Tabriz, Iran)

Evaluation of Optimal Criteria for Designing Solar Greenhouses in Cold Climate Residential Buildings (Case Study: Tabriz, Iran)

Word Sense Disambiguation Using Prior Probability Estimation Based on the Korean WordNet

Word Sense Disambiguation for Indian Regional Language Using BERT Model

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