The Natural Language Processing Laboratory of Shahid Beheshti University was established in 2007 under the supervision of Dr. Mehrnoosh Shamsfard . The main activities of this laboratory are categorized in two areas of natural language processing with an emphasis on Persian language and ontology engineering. The members and colleagues of the laboratory are mostly students and graduates of the Faculty of Engineering and Computer Science of the Shahid Beheshti University or students and graduate students in linguistics at the universities of Tehran, Shahid Beheshti and Allameh Tabatabaee who are involved in research projects with this laboratory. The lab currently has about 35 active members who are studying at Ph.D., Masters, or Bachelor's degrees or collaborating on outsourced projects. CV File
Meta Ontology
[at]sbu[dot]ac[dot]ir
Identification of knowledge is the basis of causation and oppositional textual implications
z_rahimi[at]sbu[dot]ac[dot]ir
Bidirectional Transformation between Metaphoric and Non-Metaphoric Text Using Ontology
h_motahari[at]sbu[dot]ac[dot]ir
Comment Generation Using Context Information in Social Media
sau.ahmadi[at]gmail[dot]com
...
phsafari[at]yahoo[dot]com
...
R.adelkhah[at]yahoo[dot]com
...
...
Extract structured information from the text of urban development plans
mohammadreza.molapanah[at]gmail.com
Automatic answering to text comprehension and verbal IQ tests/questions
md.khallaghi[at]gmail[dot]com
Text simplification
Sarah.baruni97[at]gmail[dot]com
Math word problem slover
mar.abdolmaleki[at]mail[dot]sbu[dot]ac.ir
Automatic test production
am.pirshah[at]outlook[dot]com
Mapping Herbal Medicine, Herbal Ingredients, and Desirable and Undesirable Effects Using Ontology Engineering
RamezaniKh.Motahareh[at]gmail.com
Persian intelligent assistant in healthcare domain
sa.chitsazz[at]gmail.com
Story generation using transformers
mohamad.khosravani97[at]gmail.com
Persian Machine reading comprehension with multiple choice questions
n.farzi[at]mail.sbu.ac.ir
Information Extraction from user's requests in SOHA
Parsa.hejabi[at]gmail[dot]com
Persian Text Tokenization and It's Test-bed
Nikinazaran[at]gmail[dot]com
Provide a statistical machine translation model based on a hierarchical alignment pattern
Providing a model for analyzing sentimental aspects
Provides a template for semantic proposing systems
Forecast of the Iranian stock market using online text
Resources and Expert Finding Using Ontology
Persian syntax analyzer using dependency relationships
Extract information from Wikipedia to use in a Q & A system in Persian
Persian automatic text summarizer system
Answering complex questions in the Linked Linked Q & A system
Detect Persian phrases
Semantic Search in Persian Documentation
Presentation of a method for the construction of semiautomatic fuzzy ontology
Fraud detection in Persian text documents
Logical Intension in Persian Texts
Identity Identity Identification in Linked Data
Package Traveler System in Special Area
Provide a Label-Based Recommender System
Extraction of semantic relations between verbs and its arguments from Persian texts
Linguistics Conservatory
A Combined Approach in the English Machine Translation to Farsi
The study of semantic network is part of the vocabulary of Persian language with the aim of drawing and coding
Studying the Position of the Structural-Semantic Level of Language in Computer Modes
Identifying verbs in Persian language sentences
Ontology learning from structured and semi-structured resources
Generate Response in Kiosk School Information
Question Analysis in Kiosk School Information
Establishing an ontology of network security
Design of the test as a semicolon from the text
Semantic clustering of Web users' sessions
Designing and implementing a task-oriented speech system in a particular application
Persian Automatic Digest System
Text-to-Picture Conversion Using Multimedia Multitask
Qualitative assessment of machine translation software
The creation of semicircular verdent verbs of Persian verses from other Persian syntactic categories
Labeling Concepts and Concepts
Semantic methods based on structure and context for the discovery of fraud in scientific papers
Answer questions about learning processes at the college information desk
Analyzing formal and interrogative questions in closed domain inquiry and response systems
Word Sense Disambiguation Using Deep Learning
Similarity and semantic connectivity
Finding real and legal experts in a specific field using semantic technologies
Dialog type detection in customer relationship systems
Domain independent aspect based sentiment analysis in written Persian texts
Giarism Detection Enhancement using Deep Neural Networks
Information Extraction from Pathology Medical Reports to Diagnose the Disease
Build a general model of natural language processing in terms of limited data resources
Complex question Answering in Persian
Processing and generating questions for Q&A systems using a deep learning approach
Transfer style to text
Design a food recipe recommender system with gamification approach
Classification of Web page
Classification of Web page
Ontology Mapping
Intelligence instructor system
Decision making system Sampling to detect network intrusion
Construction of an ontology in a particular territory
Ratings of documents based on the rate of communication with the user's query
Ratings of documents based on the rate of communication with the user's query
Build a Q & A system in Farsi
Compiling vocabulary for Persian language
Syntactic Analysis of Persian Language
Analysis of the structure of Persian language
Investigating and testing patterns of conceptual knowledge extraction from Persian texts
Synopsis of Persian texts
Artificial life
Build a Q & A system in Farsi
Modeling the Thermal Resistance of Bismuth Nanosystems by Data Mining Methods
Intelligent system memory design based on human memory model
Representation of Persian language sentences to first order logic
Waleed sentences of natural language based on their logical representation
Information extraction system from military news texts
Information extraction system from military news texts
Natural language Learning
Bilingual mapping of ontologies
MAHTAB
FarsNet
NEGAR
NEGAR
FarsNet , Persian Big Corpous , MAHTAB
SteP-1
