Generating an informative and attractive title for the product is a cruc...
A complex logic query in a knowledge graph refers to a query expressed i...
Answering complex questions often requires reasoning over knowledge grap...
E-commerce query understanding is the process of inferring the shopping
...
E-commerce queries are often short and ambiguous. Consequently, query
un...
Graph neural network (GNN) pre-training methods have been proposed to en...
Keyphrase generation is the task of automatically predicting keyphrases ...
Recent research showed promising results on combining pretrained languag...
User sessions empower many search and recommendation tasks on a daily ba...
With the increasing demands on e-commerce platforms, numerous user actio...
Table-based fact verification task aims to verify whether the given stat...
Self attention networks (SANs) have been widely utilized in recent NLP
s...
Textbook Question Answering (TQA) is a task that one should answer a
dia...
Keyphrases are capable of providing semantic metadata characterizing
doc...
Building explainable systems is a critical problem in the field of Natur...
Deep neural network models for Chinese zero pronoun resolution learn sem...
Most existing approaches for zero pronoun resolution are heavily relying...
Dropped pronouns (DPs) are ubiquitous in pro-drop languages like Chinese...
Existing approaches for Chinese zero pronoun resolution overlook semanti...