17 citations · 105 across the 32 of their papers we have counts for
9 papers · 1 filter
DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic Dialogues
Qi Jia, Hongru Huang, Kenny Q. Zhu
Interpersonal language style shifting in dialogues is an interesting and almost instinctive ability of human. Understanding interpersonal relationship from language content is also…
Multi-turn Response Selection using Dialogue Dependency Relations
Qi Jia, Yizhu Liu, Siyu Ren +2
Multi-turn response selection is a task designed for developing dialogue agents. The performance on this task has a remarkable improvement with pre-trained language models. However…
Matching Questions and Answers in Dialogues from Online Forums
Qi Jia, Mengxue Zhang, Shengyao Zhang +1
Matching question-answer relations between two turns in conversations is not only the first step in analyzing dialogue structures, but also valuable for training dialogue systems.…
ST: Small-data Text Style Transfer via Multi-task Meta-Learning
Xiwen Chen, Kenny Q. Zhu
Text style transfer aims to paraphrase a sentence in one style into another style while preserving content. Due to lack of parallel training data, state-of-art methods are unsuperv…
Unpack Local Model Interpretation for GBDT
Wenjing Fang, Jun Zhou, Xiaolong Li +1
A gradient boosting decision tree (GBDT), which aggregates a collection of single weak learners (i.e. decision trees), is widely used for data mining tasks. Because GBDT inherits t…
Adapted tree boosting for Transfer Learning
Wenjing Fang, Chaochao Chen, Bowen Song +3
Secure online transaction is an essential task for e-commerce platforms. Alipay, one of the world's leading cashless payment platform, provides the payment service to both merchant…
MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data
Xiaoqing Geng, Xiwen Chen, Kenny Q. Zhu +2
Few-shot relation classification seeks to classify incoming query instances after meeting only few support instances. This ability is gained by training with large amount of in-dom…
Knowledge-Driven Distractor Generation for Cloze-style Multiple Choice Questions
Siyu Ren, Kenny Q. Zhu
In this paper, we propose a novel configurable framework to automatically generate distractive choices for open-domain cloze-style multiple-choice questions, which incorporates a g…
AliCoCo: Alibaba E-commerce Cognitive Concept Net
Xusheng Luo, Luxin Liu, Yonghua Yang +6
One of the ultimate goals of e-commerce platforms is to satisfy various shopping needs for their customers. Much efforts are devoted to creating taxonomies or ontologies in e-comme…