A review of sentiment analysis research in Arabic language
Sentiment analysis is a task of natural language processing that has recently attracted
increasing attention. However, sentiment analysis research has mainly been carried out for …
increasing attention. However, sentiment analysis research has mainly been carried out for …
Visualizing transformers for nlp: a brief survey
The introduction of Transformer neural networks has changed the landscape of Natural
Language Processing during the last three years. While models inspired by it have …
Language Processing during the last three years. While models inspired by it have …
On the dangers of stochastic parrots: Can language models be too big?🦜
The past 3 years of work in NLP have been characterized by the development and
deployment of ever larger language models, especially for English. BERT, its variants, GPT …
deployment of ever larger language models, especially for English. BERT, its variants, GPT …
Five sources of bias in natural language processing
Recently, there has been an increased interest in demographically grounded bias in natural
language processing (NLP) applications. Much of the recent work has focused on describing …
language processing (NLP) applications. Much of the recent work has focused on describing …
Maria: Spanish language models
This work presents MarIA, a family of Spanish language models and associated resources
made available to the industry and the research community. Currently, MarIA includes …
made available to the industry and the research community. Currently, MarIA includes …
Pre-training is a hot topic: Contextualized document embeddings improve topic coherence
Topic models extract groups of words from documents, whose interpretation as a topic
hopefully allows for a better understanding of the data. However, the resulting word groups …
hopefully allows for a better understanding of the data. However, the resulting word groups …
An effective BERT-based pipeline for Twitter sentiment analysis: A case study in Italian
Over the last decade industrial and academic communities have increased their focus on
sentiment analysis techniques, especially applied to tweets. State-of-the-art results have …
sentiment analysis techniques, especially applied to tweets. State-of-the-art results have …
[PDF][PDF] HONEST: Measuring hurtful sentence completion in language models
Abstract Language models have revolutionized the field of NLP. However, language models
capture and proliferate hurtful stereotypes, especially in text generation. Our results show …
capture and proliferate hurtful stereotypes, especially in text generation. Our results show …
RoBERTuito: a pre-trained language model for social media text in Spanish
Since BERT appeared, Transformer language models and transfer learning have become
state-of-the-art for Natural Language Understanding tasks. Recently, some works geared …
state-of-the-art for Natural Language Understanding tasks. Recently, some works geared …
Cross-lingual contextualized topic models with zero-shot learning
Many data sets (eg, reviews, forums, news, etc.) exist parallelly in multiple languages. They
all cover the same content, but the linguistic differences make it impossible to use traditional …
all cover the same content, but the linguistic differences make it impossible to use traditional …