[HTML][HTML] Investigating the Challenges and Opportunities in Persian Language Information Retrieval through Standardized Data Collections and Deep Learning
The Persian language, also known as Farsi, is distinguished by its intricate morphological
richness, yet it contends with a paucity of linguistic resources. With an estimated 110 million …
richness, yet it contends with a paucity of linguistic resources. With an estimated 110 million …
DeepLink: A novel link prediction framework based on deep learning
MM Keikha, M Rahgozar… - Journal of Information …, 2021 - journals.sagepub.com
Recently, link prediction has attracted more attention from various disciplines such as
computer science, bioinformatics and economics. In link prediction, numerous information …
computer science, bioinformatics and economics. In link prediction, numerous information …
The impact of corpus domain on word representation: a study on Persian word embeddings
A Hadifar, S Momtazi - language resources and evaluation, 2018 - Springer
Word embedding, has been a great success story for natural language processing in recent
years. The main purpose of this approach is providing a vector representation of words …
years. The main purpose of this approach is providing a vector representation of words …
Time sensitive blog retrieval using temporal properties of queries
Blogs are one of the main user-generated contents on the web and are growing in number
rapidly. The characteristics of blogs require the development of specialized search methods …
rapidly. The characteristics of blogs require the development of specialized search methods …
Arman: Pre-training with semantically selecting and reordering of sentences for persian abstractive summarization
Abstractive text summarization is one of the areas influenced by the emergence of pre-
trained language models. Current pre-training works in abstractive summarization give more …
trained language models. Current pre-training works in abstractive summarization give more …
How questions are posed to a search engine? An empiricial analysis of question queries in a large scale Persian search engine log
MS Zahedi, B Mansouri, S Moradkhani… - … Conference on Web …, 2017 - ieeexplore.ieee.org
In this paper we investigate a Persian search engine log and present a comprehensive
analysis of question queries in three levels: structure, click and topic. By analyzing question …
analysis of question queries in three levels: structure, click and topic. By analyzing question …
Correction of spaces in Persian sentences for tokenization
M Panahandeh, S Ghanbari - 2019 5th Conference on …, 2019 - ieeexplore.ieee.org
The exponential growth of the Internet and its users and the emergence of Web 2.0 have
caused a large volume of textual data to be created. Automatic analysis of such data can be …
caused a large volume of textual data to be created. Automatic analysis of such data can be …
HmBlogs: A big general Persian corpus
HM Khansari, M Shamsfard - arXiv preprint arXiv:2111.02362, 2021 - arxiv.org
This paper introduces the hmBlogs corpus for Persian, as a low resource language. This
corpus has been prepared based on a collection of nearly 20 million blog posts over a …
corpus has been prepared based on a collection of nearly 20 million blog posts over a …
Understanding User's Search Behavior towards Spiky Events
Web searches are done by users every day on a million-daily basis. Many of these web
searches are related to events, social occasions that attracts society's attention. Events may …
searches are related to events, social occasions that attracts society's attention. Events may …
FarsAcademic: A Standard Persian Test Collection for Information Retrieval in Scientific Texts
A significant amount of scientific texts is produced in Persian and available in scientific
information databases through the Web. In this paper, FarsAcademic, a test collection of …
information databases through the Web. In this paper, FarsAcademic, a test collection of …