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Multimodal Item Categorization Fully Based on Transformer
The Transformer has proven to be a powerful feature extraction method and has gained widespread adoption in natural language processing (NLP).
Extreme Multi-Label Classification with Label Masking for Product Attribute Value Extraction
A major problem in solving AVE as XMC is that the distribution between positive and negative labels for products is heavily imbalanced.
RakutenAI-7B: Extending Large Language Models for Japanese
We introduce RakutenAI-7B, a suite of Japanese-oriented large language models that achieve the best performance on the Japanese LM Harness benchmarks among the open 7B models.
A Unified Generative Approach to Product Attribute-Value Identification
We finetune a pre-trained generative model, T5, to decode a set of attribute-value pairs as a target sequence from the given product text.
Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product Attribute Extraction
A key challenge in attribute value extraction (AVE) from e-commerce sites is how to handle a large number of attributes for diverse products.
Chinese Event Extraction Using DeepNeural Network with Word Embedding
A lot of prior work on event extraction has exploited a variety of features to represent events.
