G Brauwers, F Frasincar - ACM Computing Surveys, 2022 - dl.acm.org
With the constantly growing number of reviews and other sentiment-bearing texts on the Web, the demand for automatic sentiment analysis algorithms continues to expand. Aspect …
Abstract Natural Language Processing (NLP) is a branch of artificial intelligence that involves the design and implementation of systems and algorithms able to interact through …
In this paper, we introduce NLP resources for 11 major Indian languages from two major language families. These resources include:(a) large-scale sentence-level monolingual …
Node classification is a classical graph representation learning task on which Graph Neural Networks (GNNs) have recently achieved strong results. However, it is often believed that …
Large language models are commonly trained on a mixture of filtered web data and curated``high-quality''corpora, such as social media conversations, books, or technical …
Transfer learning, where a model is first pre-trained on a data-rich task before being fine- tuned on a downstream task, has emerged as a powerful technique in natural language …
We propose BERTScore, an automatic evaluation metric for text generation. Analogously to common metrics, BERTScore computes a similarity score for each token in the candidate …
Language models are ubiquitous in current NLP, and their multilingual capacity has recently attracted considerable attention. However, current analyses have almost exclusively focused …
Pre-training text representations have led to significant improvements in many areas of natural language processing. The quality of these models benefits greatly from the size of …