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10/08/2022
Short Text Pre-training with Extended Token Classification for E-commerce Query Understanding
E-commerce query understanding is the process of inferring the shopping ...
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06/15/2022
Condensing Graphs via One-Step Gradient Matching
As training deep learning models on large dataset takes a lot of time an...
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05/15/2022
SeqZero: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models
Recent research showed promising results on combining pretrained languag...
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02/12/2022
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph
With the increasing demands on e-commerce platforms, numerous user actio...
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08/19/2021
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction
We study the problem of query attribute value extraction, which aims to ...
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06/16/2021
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
Weak supervision has shown promising results in many natural language pr...
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04/04/2021
Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning
Exploiting label hierarchies has become a promising approach to tackling...
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09/22/2020
On Data Augmentation for Extreme Multi-label Classification
In this paper, we focus on data augmentation for the extreme multi-label...
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11/17/2017
