Results 61 to 70 of about 302,572 (324)

ParsBERT: Transformer-based Model for Persian Language Understanding

, 2020
The surge of pre-trained language models has begun a new era in the field of Natural Language Processing (NLP) by allowing us to build powerful language models.
Farahani, Marzieh, Farahani, Mehrdad, Gharachorloo, Mohammad, Manthouri, Mohammad   +3 more
core   +1 more source

Cross-Lingual Bimodal Emotion Recognition with LLM-Based Label Smoothing

Big Data and Cognitive Computing
Bimodal emotion recognition based on audio and text is widely adopted in video-constrained real-world applications such as call centers and voice assistants.
Elena Ryumina, Alexandr Axyonov, Timur Abdulkadirov, Darya Koryakovskaya, Dmitry Ryumin   +4 more
doaj   +1 more source

SSL-MEPR: A Semi-Supervised Multi-Task Cross-Domain Learning Framework for Multimodal Emotion and Personality Recognition

Machine Learning and Knowledge Extraction
The growing demand for personalized human–computer interaction calls for methods that jointly model emotional states and personality traits. However, large-scale multimodal corpora annotated for both tasks are still lacking.
Elena Ryumina, Alexandr Axyonov, Darya Koryakovskaya, Timur Abdulkadirov, Angelina Egorova, Sergey Fedchin, Alexander Zaburdaev, Dmitry Ryumin   +7 more
doaj   +1 more source

Reproducibility dataset for a large experimental survey on word embeddings and ontology-based methods for word similarity

Data in Brief, 2019
This data article introduces a reproducibility dataset with the aim of allowing the exact replication of all experiments, results and data tables introduced in our companion paper (Lastra-Díaz et al., 2019), which introduces the largest experimental ...
Juan J. Lastra-Díaz, Josu Goikoetxea, Mohamed Ali Hadj Taieb, Ana García-Serrano, Mohamed Ben Aouicha, Eneko Agirre   +5 more
doaj   +1 more source

Sentiment Analysis of the Top 5 E-commerce Platforms in Indonesia using Text Mining and Natural Language Processing (NLP)

Journal of Applied Informatics and Computing, 2023
This research attempts to depict a sentiment comparison of the top 5 E-commerce platforms in Indonesia by gathering the emotional tone behind sentence contents related to customer sentiments, customer experiences, and the brand reputation of E-commerce ...
R. A. E. Virgana Targa Sapanji, Dani Hamdani, Parlindungan Harahap   +2 more
doaj   +1 more source

Software Infrastructure for Natural Language Processing

, 1997
We classify and review current approaches to software infrastructure for research, development and delivery of NLP systems. The task is motivated by a discussion of current trends in the field of NLP and Language Engineering.
Cunningham, Hamish, Gaizauskas, Robert, Humphreys, Kevin, Wilks, Yorick   +3 more
core   +4 more sources

Universal Adversarial Triggers for Attacking and Analyzing NLP [PDF]

Conference on Empirical Methods in Natural Language Processing, 2019
Adversarial examples highlight model vulnerabilities and are useful for evaluation and interpretation. We define universal adversarial triggers: input-agnostic sequences of tokens that trigger a model to produce a specific prediction when concatenated to
Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, Sameer Singh   +4 more
semanticscholar   +1 more source

Social Biases in NLP Models as Barriers for Persons with Disabilities [PDF]

Annual Meeting of the Association for Computational Linguistics, 2020
Building equitable and inclusive NLP technologies demands consideration of whether and how social attitudes are represented in ML models. In particular, representations encoded in models often inadvertently perpetuate undesirable social biases from the ...
Ben Hutchinson, Vinodkumar Prabhakaran, Emily L. Denton, Kellie Webster, Yu Zhong, Stephen Denuyl   +5 more
semanticscholar   +1 more source

Modern Approaches to Detect and Classify Comment Toxicity Using Neural Networks

Моделирование и анализ информационных систем, 2020
The growth of popularity of online platforms which allow users to communicate with each other, share opinions about various events, and leave comments boosted the development of natural language processing algorithms. Tens of millions of messages per day
Sergey V. Morzhov
doaj   +1 more source

The language of proteins: NLP, machine learning & protein sequences

Computational and Structural Biotechnology Journal, 2021
Natural language processing (NLP) is a field of computer science concerned with automated text and language analysis. In recent years, following a series of breakthroughs in deep and machine learning, NLP methods have shown overwhelming progress.
Dan Ofer, N. Brandes, M. Linial
semanticscholar   +1 more source