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Found 26 papers, 2 papers with code
Extraction of Verbal Synsets and Relations for FarsNet
The proposed method extracts verbal words and concepts using noun and adjective words and synsets.
Persian SemCor: A Bag of Word Sense Annotated Corpus for the Persian Language
Supervised approaches usually achieve the best performance in the Word Sense Disambiguation problem.
Augmenting FarsNet with New Relations and Structures for verbs
This paper discusses the semantic augmentation of FarsNet - the Persian WordNet - with new relations and structures for verbs.
RFBES at SemEval-2024 Task 8: Investigating Syntactic and Semantic Features for Distinguishing AI-Generated and Human-Written Texts
Nowadays, the usage of Large Language Models (LLMs) has increased, and LLMs have been used to generate texts in different languages and for different tasks.
FaBERT: Pre-training BERT on Persian Blogs
We introduce FaBERT, a Persian BERT-base model pre-trained on the HmBlogs corpus, encompassing both informal and formal Persian texts.
Developing an Informal-Formal Persian Corpus
In informal writing, the language faces some lexical and/or syntactic changes varying among different languages.
Stacked Cross-modal Feature Consolidation Attention Networks for Image Captioning
Thus, we propose a stacked cross-modal feature consolidation (SCFC) attention network for image captioning in which we simultaneously consolidate cross-modal features through a novel compounding function in a multi-step reasoning fashion.
Improving Persian Relation Extraction Models by Data Augmentation
Relation extraction that is the task of predicting semantic relation type between entities in a sentence or document is an important task in natural language processing.
HmBlogs: A big general Persian corpus
This paper introduces the hmBlogs corpus for Persian, as a low resource language.
Offensive Language Detection with BERT-based models, By Customizing Attention Probabilities
This paper describes a novel study on using `Attention Mask' input in transformers and using this approach for detecting offensive content in both English and Persian languages.
Contradiction Detection in Persian Text
On the other hand, because of medium performance of rule base system for some categories of contradiction, we use a Bert base deep learning system using our translated dataset; with average F-measure of 73.
A Knowledge-based Approach for Answering Complex Questions in Persian
In this paper, we propose a knowledge-based approach for answering Persian complex questions using Farsbase; the Persian knowledge graph, exploiting PeCoQ; the newly created complex Persian question dataset.
Persian-WSD-Corpus: A Sense Annotated Corpus for Persian All-words Word Sense Disambiguation
In this paper, we address this shortage for the Persian language by introducing SBU-WSD-Corpus, as the first standard test set for the Persian All-words WSD task.
SAT Based Analogy Evaluation Framework for Persian Word Embeddings
In this paper we propose a test framework for Persian embedding models.
PeCoQ: A Dataset for Persian Complex Question Answering over Knowledge Graph
This paper introduces \textit{PeCoQ}, a dataset for Persian question answering.
Persian Causality Corpus (PerCause) and the Causality Detection Benchmark
Recognizing causal elements and causal relations in text is one of the challenging issues in natural language processing; specifically, in low resource languages such as Persian.
Beheshti-NER: Persian Named Entity Recognition Using BERT
In this paper, we use the pre-trained deep bidirectional network, BERT, to make a model for named entity recognition in Persian.
EoANN: Lexical Semantic Relation Classification Using an Ensemble of Artificial Neural Networks
Lexico-semantic relations among words or concepts are important parts of knowledge encoded in wordnets.
Tehran Stock Exchange Prediction Using Sentiment Analysis of Online Textual Opinions
Moreover, we indicate that for predicting the closing price only comments volume and for predicting the daily return both the volume and the sentiment of the comments could be useful.
Knowledge-Based Word Sense Disambiguation with Distributional Semantic Expansion
In this paper, we presented a WSD system that uses LDA topics for semantic expansion of document words.
A Weighted Multi-Criteria Decision Making Approach for Image Captioning
In this study, we present a method for visual retrieval based image captioning, in which we use a multi criteria decision making algorithm to effectively combine several criteria with proportional impact weights to retrieve the most relevant caption for the query image.
The State of the Art in Developing Fuzzy Ontologies: A Survey
Conceptual formalism supported by typical ontologies may not be sufficient to represent uncertainty information which is caused due to the lack of clear cut boundaries between concepts of a domain.
Mahtab at SemEval-2017 Task 2: Combination of Corpus-based and Knowledge-based Methods to Measure Semantic Word Similarity
We use FarsNet, the Persian Word Net, besides deep learning techniques to extract the similarity of words.
Using Data Mining Techniques for Sentiment Shifter Identification
Sentiment shifters, i. e., words and expressions that can affect text polarity, play an important role in opinion mining.
Matrix Factorization with Explicit Trust and Distrust Relationships
With the advent of online social networks, recommender systems have became crucial for the success of many online applications/services due to their significance role in tailoring these applications to user-specific needs or preferences.
Corpus based Semi-Automatic Extraction of Persian Compound Verbs and their Relations
Nowadays, Wordnet is used in natural language processing as one of the major linguistic resources.
