Webformer: The web-page transformer for structure information extraction
Structure information extraction refers to the task of extracting structured text fields from web
pages, such as extracting a product offer from a shop** page including product title …
pages, such as extracting a product offer from a shop** page including product title …
Evolving to multi-modal knowledge graphs for engineering design: state-of-the-art and future challenges
With the support of advanced information and communication technologies and open
innovative design platforms, the emerging and blooming paradigm of mass personalization …
innovative design platforms, the emerging and blooming paradigm of mass personalization …
MixPAVE: Mix-prompt tuning for few-shot product attribute value extraction
The task of product attribute value extraction is to identify values of an attribute from product
information. Product attributes are important features, which help improve online shop** …
information. Product attributes are important features, which help improve online shop** …
Llm-ensemble: Optimal large language model ensemble method for e-commerce product attribute value extraction
Product attribute value extraction is a pivotal component in Natural Language Processing
(NLP) and the contemporary e-commerce industry. The provision of precise product attribute …
(NLP) and the contemporary e-commerce industry. The provision of precise product attribute …
Pay attention to implicit attribute values: a multi-modal generative framework for AVE task
Abstract Attribute Value Extraction (AVE) boosts many e-commerce platform services such
as targeted recommendation, product retrieval and question answering. Most previous …
as targeted recommendation, product retrieval and question answering. Most previous …
FolkScope: Intention knowledge graph construction for E-commerce commonsense discovery
Understanding users' intentions in e-commerce platforms requires commonsense
knowledge. In this paper, we present FolkScope, an intention knowledge graph construction …
knowledge. In this paper, we present FolkScope, an intention knowledge graph construction …
Learning to generate question by asking question: A primal-dual approach with uncommon word generation
Automatic question generation (AQG) is the task of generating a question from a given
passage and an answer. Most existing AQG methods aim at encoding the passage and the …
passage and an answer. Most existing AQG methods aim at encoding the passage and the …
Transformers are short-text classifiers
Short text classification is a crucial and challenging aspect of Natural Language Processing.
For this reason, there are numerous highly specialized short text classifiers. A variety of …
For this reason, there are numerous highly specialized short text classifiers. A variety of …
Smartave: Structured multimodal transformer for product attribute value extraction
Automatic product attribute value extraction refers to the task of identifying values of an
attribute from the product information. Product attributes are essential in improving online …
attribute from the product information. Product attributes are essential in improving online …
Multimodal pre-training with self-distillation for product understanding in e-commerce
S Liu, L Li, J Song, Y Yang, X Zeng - … on Web Search and Data Mining, 2023 - dl.acm.org
Product understanding refers to a series of product-centric tasks, such as classification,
alignment and attribute values prediction, which requires fine-grained fusion of various …
alignment and attribute values prediction, which requires fine-grained fusion of various …