26 citations · 89 across the 21 of their papers we have counts for
8 papers · 1 filter
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…