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08/21/2023
Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts
Large Language Models (LLMs) have achieved significant success across va...
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07/13/2023
Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations
Precisely recommending candidate news articles to users has always been ...
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06/13/2023
Topic-Centric Explanations for News Recommendation
News recommender systems (NRS) have been widely applied for online news ...
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05/05/2023
HiPool: Modeling Long Documents Using Graph Neural Networks
Encoding long sequences in Natural Language Processing (NLP) is a challe...
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10/21/2022
Diffuser: Efficient Transformers with Multi-hop Attention Diffusion for Long Sequences
Efficient Transformers have been developed for long sequence modeling, d...
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04/13/2022
EHRKit: A Python Natural Language Processing Toolkit for Electronic Health Record Texts
The Electronic Health Record (EHR) is an essential part of the modern me...
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01/07/2022
A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation
Effective human learning depends on a wide selection of educational mate...
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12/16/2021
CLICKER: A Computational LInguistics Classification Scheme for Educational Resources
A classification scheme of a scientific subject gives an overview of its...
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12/13/2021
Surfer100: Generating Surveys From Web Resources on Wikipedia-style
Fast-developing fields such as Artificial Intelligence (AI) often outpac...
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09/17/2021
Efficient Variational Graph Autoencoders for Unsupervised Cross-domain Prerequisite Chains
Prerequisite chain learning helps people acquire new knowledge efficient...
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07/07/2021
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review
Electronic health records (EHRs), digital collections of patient healthc...
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05/07/2021
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders
Learning prerequisite chains is an essential task for efficiently acquir...
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03/26/2021
Heterogeneous Graph Neural Networks for Multi-label Text Classification
Multi-label text classification (MLTC) is an attractive and challenging ...
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02/03/2021
Detecting Bias in Transfer Learning Approaches for Text Classification
Classification is an essential and fundamental task in machine learning,...
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06/10/2020
Global Data Science Project for COVID-19 Summary Report
This paper aims at providing the summary of the Global Data Science Proj...
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04/22/2020
What are We Depressed about When We Talk about COVID19: Mental Health Analysis on Tweets Using Natural Language Processing
The outbreak of coronavirus disease 2019 (COVID-19) recently has affecte...
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04/22/2020
R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning
The task of concept prerequisite chain learning is to automatically dete...
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10/30/2019
A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation
Automated analysis of clinical notes is attracting increasing attention....
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09/04/2019
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks
Scientific article summarization is challenging: large, annotated corpor...
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09/04/2019
ScisummNet: A Large Annotated Dataset and Content-Impact Models for Scientific Paper Summarization with Citation Networks
Scientific article summarization is challenging: large, annotated corpor...
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06/05/2019
SParC: Cross-Domain Semantic Parsing in Context
We present SParC, a dataset for cross-domainSemanticParsing inContext th...
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06/04/2019
Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model
Automatic generation of summaries from multiple news articles is a valua...
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11/26/2018
What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning
Recent years have witnessed the rising popularity of Natural Language Pr...
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09/24/2018
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
We present Spider, a large-scale, complex and cross-domain semantic pars...
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05/11/2018
TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation
The field of Natural Language Processing (NLP) is growing rapidly, with ...
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04/22/2017
