This paper discusses the importance of language processing and its challenges. It first
defines low resource languages and their influencing factors. Then talking about the Persian …

Natural language processing (NLP) techniques can prove relevant to a variety of specialties
in the field of cognitive science, including sentiment analysis. This paper investigates the …

Research on clustering algorithms in synonymy graphs of a single language yields
promising results, however, this idea is not yet explored in a multilingual setting …

WordNets–lexical databases in which groups of synonyms are arranged according to the
semantic relationships between them–are crucial resources in semantically-focused natural …

Word Sense Disambiguation (WSD) is the task of associating a word in a given context with
its most suitable meaning among a set of possible candidates. While the task has recently …

Bilingual or even polylingual word embeddings created many possibilities for tasks involving
multiple languages. While some tasks like cross-lingual information retrieval aim to satisfy …

Awareness of others' opinions plays a crucial role in the decision making process performed
by simple customers to top-level executives of manufacturing companies and various …

NSURL-2019 Task 7 focuses on Named Entity Recognition (NER) in Farsi. This task was
chosen to compare different approaches to find phrases that specify Named Entities in Farsi …

This paper presents an automated supervised method for Persian wordnet construction.
Using a Persian corpus and a bi-lingual dictionary, the initial links between Persian words …

Lexical-semantic resources such as wordnets and multilingual dictionaries often suffer from
significant coverage issues, especially in languages other than English. While improving …