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57 citations · 184 across the 33 of their papers we have counts for

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cs.CL2021

Simple or Complex? Complexity-Controllable Question Generation with Soft Templates and Deep Mixture of Experts Model

Sheng Bi, Xiya Cheng, Yuan-Fang Li +5

The ability to generate natural-language questions with controlled complexity levels is highly desirable as it further expands the applicability of question generation. In this pap…

cs.CL2021

Improving Numerical Reasoning Skills in the Modular Approach for Complex Question Answering on Text

Xiao-Yu Guo, Yuan-Fang Li, Gholamreza Haffari

Numerical reasoning skills are essential for complex question answering (CQA) over text. It requires opertaions including counting, comparison, addition and subtraction. A successf…

cs.CL2021

XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages

Tahmid Hasan, Abhik Bhattacharjee, Md Saiful Islam +5

Contemporary works on abstractive text summarization have focused primarily on high-resource languages like English, mostly due to the limited availability of datasets for low/mid-…

cs.CL2021★ 1 cited

Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection

Shirong Shen, Tongtong Wu, Guilin Qi +3

Event detection (ED) aims at detecting event trigger words in sentences and classifying them into specific event types. In real-world applications, ED typically does not have suffi…

cs.CL2021★ 2 cited

Curriculum-Meta Learning for Order-Robust Continual Relation Extraction

Tongtong Wu, Xuekai Li, Yuan-Fang Li +4

Continual relation extraction is an important task that focuses on extracting new facts incrementally from unstructured text. Given the sequential arrival order of the relations, t…