[HTML][HTML] Sentiment analysis and opinion mining on educational data: A survey
Sentiment analysis AKA opinion mining is one of the most widely used NLP applications to
identify human intentions from their reviews. In the education sector, opinion mining is used …
identify human intentions from their reviews. In the education sector, opinion mining is used …
Arabglossbert: Fine-tuning bert on context-gloss pairs for wsd
Using pre-trained transformer models such as BERT has proven to be effective in many NLP
tasks. This paper presents our work to fine-tune BERT models for Arabic Word Sense …
tasks. This paper presents our work to fine-tune BERT models for Arabic Word Sense …
Rudsi: graph-based word sense induction dataset for russian
A Aksenova, E Gavrishina, E Rykov… - arXiv preprint arXiv …, 2022 - arxiv.org
We present RuDSI, a new benchmark for word sense induction (WSI) in Russian. The
dataset was created using manual annotation and semi-automatic clustering of Word Usage …
dataset was created using manual annotation and semi-automatic clustering of Word Usage …
Distributional word embeddings in modeling diachronic semantic change
A Kutuzov - 2020 - duo.uio.no
Words of human languages change their meaning over time. This linguistic phenomenon is
known as 'diachronic semantic change'. Such shifts are of interest both for linguists and for …
known as 'diachronic semantic change'. Such shifts are of interest both for linguists and for …
Arabic sentence similarity based on similarity features and machine learning
M Alian, A Awajan - Soft Computing, 2021 - Springer
The similarity between two sentences is the score that represents the relatedness and
likelihood between those sentences. Measuring sentence similarity has attracted …
likelihood between those sentences. Measuring sentence similarity has attracted …
Arabic word sense disambiguation using sense inventories
Disambiguation of words that have more than one meaning in a context is one of the
challenging tasks in natural language processing. The representation of words and context …
challenging tasks in natural language processing. The representation of words and context …
The contribution of selected linguistic markers for unsupervised Arabic verb sense disambiguation
Word sense disambiguation (WSD) is the task of automatically determining the meaning of a
polysemous word in a specific context. Word sense induction is the unsupervised clustering …
polysemous word in a specific context. Word sense induction is the unsupervised clustering …
Low-Resource Machine Translation through the Lens of Personalized Federated Learning
We present a new approach based on the Personalized Federated Learning algorithm
MeritFed that can be applied to Natural Language Tasks with heterogeneous data. We …
MeritFed that can be applied to Natural Language Tasks with heterogeneous data. We …
Sense inventories for arabic texts
Word sense disambiguation is the process of determining the proper meaning of a word
according to its context. In this study, we represent the impact of word embedding on …
according to its context. In this study, we represent the impact of word embedding on …
Automatic WordNet construction using word sense induction through sentence embeddings
DJ Velasco, A Alba, TG Pelagio, BA Ramirez… - arXiv preprint arXiv …, 2022 - arxiv.org
Language resources such as wordnets remain indispensable tools for different natural
language tasks and applications. However, for low-resource languages such as Filipino …
language tasks and applications. However, for low-resource languages such as Filipino …