26 citations · 89 across the 21 of their papers we have counts for
16 papers · 1 filter
A Parallel Cross-Lingual Benchmark for Multimodal Idiomaticity Understanding
Dilara Torunoğlu-Selamet, Dogukan Arslan, Rodrigo Wilkens +75
Potentially idiomatic expressions (PIEs) construe meanings inherently tied to the everyday experience of a given language community. As such, they constitute an interesting challen…
FarsEval-PKBETS: A new diverse benchmark for evaluating Persian large language models
Mehrnoush Shamsfard, Zahra Saaberi, Mostafa Karimi manesh +16
Research on evaluating and analyzing large language models (LLMs) has been extensive for resource-rich languages such as English, yet their performance in languages such as Persian…
Formality Style Transfer in Persian
Parastoo Falakaflaki, Mehrnoush Shamsfard
This study explores the formality style transfer in Persian, particularly relevant in the face of the increasing prevalence of informal language on digital platforms, which poses c…
RFBES at SemEval-2024 Task 8: Investigating Syntactic and Semantic Features for Distinguishing AI-Generated and Human-Written Texts
Mohammad Heydari Rad, Farhan Farsi, Shayan Bali +2
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. Additionally, due to th…
FaBERT: Pre-training BERT on Persian Blogs
Mostafa Masumi, Seyed Soroush Majd, Mehrnoush Shamsfard +1
We introduce FaBERT, a Persian BERT-base model pre-trained on the HmBlogs corpus, encompassing both informal and formal Persian texts. FaBERT is designed to excel in traditional Na…
Developing an Informal-Formal Persian Corpus
Vahide Tajalli, Fateme Kalantari, Mehrnoush Shamsfard
Informal language is a style of spoken or written language frequently used in casual conversations, social media, weblogs, emails and text messages. In informal writing, the langua…
Improving Persian Relation Extraction Models by Data Augmentation
Moein Salimi Sartakhti, Romina Etezadi, Mehrnoush Shamsfard
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. Although t…
HmBlogs: A big general Persian corpus
Hamzeh Motahari Khansari, Mehrnoush Shamsfard
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 period…
Offensive Language Detection with BERT-based models, By Customizing Attention Probabilities
Peyman Alavi, Pouria Nikvand, Mehrnoush Shamsfard
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. Th…
A Knowledge-based Approach for Answering Complex Questions in Persian
Romina Etezadi, Mehrnoush Shamsfard
Research on open-domain question answering (QA) has a long tradition. A challenge in this domain is answering complex questions (CQA) that require complex inference methods and lar…
Contradiction Detection in Persian Text
Zeinab Rahimi, Mehrnoush ShamsFard
Detection of semantic contradictory sentences is one of the most challenging and fundamental issues for NLP applications such as recognition of textual entailments. Contradiction i…
Persian-WSD-Corpus: A Sense Annotated Corpus for Persian All-words Word Sense Disambiguation
Hossein Rouhizadeh, Mehrnoush Shamsfard, Vahideh Tajalli +1
Word Sense Disambiguation (WSD) is a long-standing task in Natural Language Processing(NLP) that aims to automatically identify the most relevant meaning of the words in a given co…
SAT Based Analogy Evaluation Framework for Persian Word Embeddings
Seyyed Ehsan Mahmoudi, Mehrnoush Shamsfard
In recent years there has been a special interest in word embeddings as a new approach to convert words to vectors. It has been a focal point to understand how much of the semantic…
PeCoQ: A Dataset for Persian Complex Question Answering over Knowledge Graph
Romina Etezadi, Mehrnoush Shamsfard
Question answering systems may find the answers to users' questions from either unstructured texts or structured data such as knowledge graphs. Answering questions using supervised…
Persian Causality Corpus (PerCause) and the Causality Detection Benchmark
Zeinab Rahimi, Mehrnoush ShamsFard
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. I…
Beheshti-NER: Persian Named Entity Recognition Using BERT
Ehsan Taher, Seyed Abbas Hoseini, Mehrnoush Shamsfard
Named entity recognition is a natural language processing task to recognize and extract spans of text associated with named entities and classify them in semantic Categories. Googl…