activity
20122023
most citedMICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data

17 citations · 105 across the 32 of their papers we have counts for

collaborators
Showing 2020 · cs.CLShow all

6 papers · 2 filters

cs.CL2020★ 2 cited

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…

cs.CL2020★ 1 cited

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…

cs.CL2020

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.…

cs.CL2020★ 4 cited

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…

cs.CL2020★ 17 cited

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…

cs.CL2020

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…