4 citations · 9 across the 6 of their papers we have counts for
6 papers
Assign Experiment Variants at Scale in Online Controlled Experiments
Qike Li, Samir Jamkhande, Pavel Kochetkov +1
Online controlled experiments (A/B tests) have become the gold standard for learning the impact of new product features in technology companies. Randomization enables the inference…
Exploring Generative Neural Temporal Point Process
Haitao Lin, Lirong Wu, Guojiang Zhao +2
Temporal point process (TPP) is commonly used to model the asynchronous event sequence featuring occurrence timestamps and revealed by probabilistic models conditioned on historica…
A Survey on Open Information Extraction from Rule-based Model to Large Language Model
Pai Liu, Wenyang Gao, Wenjie Dong +7
Open Information Extraction (OpenIE) represents a crucial NLP task aimed at deriving structured information from unstructured text, unrestricted by relation type or domain. This su…
Can Generative Pre-trained Language Models Serve as Knowledge Bases for Closed-book QA?
Cunxiang Wang, Pai Liu, Yue Zhang
Recent work has investigated the interesting question using pre-trained language models (PLMs) as knowledge bases for answering open questions. However, existing work is limited in…
NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension
Zhixiang Chen, Yikun Lei, Pai Liu +1
SemEval task 4 aims to find a proper option from multiple candidates to resolve the task of machine reading comprehension. Most existing approaches propose to concat question and o…
QiaoNing at SemEval-2020 Task 4: Commonsense Validation and Explanation system based on ensemble of language model
Pai Liu
In this paper, we present language model system submitted to SemEval-2020 Task 4 competition: "Commonsense Validation and Explanation". We participate in two subtasks for subtask A…