Chapter 4. Text Classification A common task in natural language processing is classification. The goal of the task is to train a model to assign a label or class to … - Selection from Hands-On Large Language Models [Book]
Multi-emotion sentiment classification is a natural language processing (NLP) problem with valuable use cases on real- world data. We demonstrate that large-scale unsupervised language modeling combined with finetuning offers a prac- tical solution to this task on difficult datasets, including those ...
PracticalTextClassificationWithLargePre-TrainedLanguageModelsNeelKantUniversityofCaliforniaBerkeleykantneel@berkeley.eduRaulPuriNVIDIASantaClaraCAraulp@nvidia.comNikolaiYakovenkoNVIDIASantaClaraCAnyakovenko@nvidia.comBryanCatanzaroNVIDIASantaClaraCAbcata
Large language modelsExplainable AIEye trackingCognitive engineeringHuman–computer interactionTo understand the alignment between reasonings of humans and artificial intelligence (AI) models, this empirical study compared the human text classification performance and explainability with a traditional machine ...
Extracting structured knowledge from scientific text remains a challenging task for machine learning models. Here, we present a simple approach to joint named entity recognition and relation extraction and demonstrate how pretrained large language models
Inductive transfer learning has had a large impact on computer vision (CV). Applied CV models (including object detection, classification, and segmentation) are rarely trained from scratch, but instead are fine-tuned from models that have been pretrained on ImageNet, MS-COCO, and other datasets ...
8. RetroMAE v2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models arxiv.org/pdf/2211.0876 9. PromptBERT: Improving BERT Sentence Embeddings with Prompts arxiv.org/pdf/2201.0433 10. Scaling Sentence Embeddings with Large Language Models arxiv.org/pdf/2307.1664编辑...
Returns: (String) #text_classification ⇒ Array<OCI::AiLanguage::Models::TextClassification> [Required] List of detected text classes. Returns: (Array<OCI::AiLanguage::Models::TextClassification>) Class Method Details .attribute_map ⇒ Object Attribute mapping from ruby-style variable...
Recently, large scale pre-trained language models such as BERT and models with lattice structure that consisting of character-level and word-level information have achieved state-of-the-art performance in most downstream natural language processing (NLP)
Large language models ChatGPT-3.5 (OpenAI, San Francisco, CA,https://openai.com/). Description provided by GPT-3.5: “The Generalized Pre-training Transformer 3.5 (GPT-3.5) is an advanced language model. Its primary objective is to comprehend and generate human-like text. Leveraging unsupervised...