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A Survey on Knowledge Extraction Techniques for Web Tables
Web tables are worthy sources of relational information. The number of high-quality tables with useful relational information is rapidly increasing to hundreds of millions. Some search enginesExpand
OPTIMAL DESIGN OF STEEL MOMENT FRAME STRUCTURES USING THE GA-BASED REDUCED SEARCH SPACE (GA-RSS) TECHNIQUE
TLDR
This paper proposes a GA-based reduced search space technique (GA-RSS) for the optimal design of steel moment frames. Expand
A Review of Algorithms, Datasets, and Criteria in Word Sense Disambiguation With a View to its Use in Islamic Texts
TLDR
We present a survey on Word Sense Disambiguation (WSD), which defined as the automated process of determining the proper sense of an ambiguous word by analyzing the context in which the word occurs. Expand
Persian FrameNet: a Novel Approach to build FrameNet in the Persian Language Applicable to Islamic Context
TLDR
FrameNet is a lexical research project that produces a glossary containing very detailed information about syntax (semantic relationships of specific English words such as verbs, nouns, and adjectives). Expand
FarsBase-KBP: A Knowledge Base Population System for the Persian Knowledge Graph
TLDR
We present a knowledge base population system for the Persian language, which extracts knowledge from unlabeled raw text, crawled from the Web. Expand
A Review of the Most Important Studies on Automated Text Simplification Evaluation Metrics
TLDR
We review the most significant studies identified out of more than 300 studies of the last three decades in the field of text simplification, focusing on evaluation metrics, methods and corpora. Expand
PERLEX: A Bilingual Persian-English Gold Dataset for Relation Extraction
TLDR
We present "PERLEX" as the first Persian dataset for relation extraction, which is an expert-translated version of the "Semeval-2010-Task-8" dataset. Expand
An Unsupervised Language-Independent Entity Disambiguation Method and its Evaluation on the English and Persian Languages
TLDR
In this paper, we introduce an Unsupervised Language-Independent Entity Disambiguation (ULIED), which utilizes a novel approach to disambiguate and link named entities. Expand