360 citations · 935 across the 27 of their papers we have counts for
27 papers
Adapting a Language Model While Preserving its General Knowledge
Zixuan Ke, Yijia Shao, Haowei Lin +3
Domain-adaptive pre-training (or DA-training for short), also known as post-training, aims to train a pre-trained general-purpose language model (LM) using an unlabeled corpus of a…
Continual Training of Language Models for Few-Shot Learning
Zixuan Ke, Haowei Lin, Yijia Shao +3
Recent work on applying large language models (LMs) achieves impressive performance in many NLP applications. Adapting or posttraining an LM using an unlabeled domain corpus can pr…
Realization of Practical Eightfold Fermions and Fourfold van Hove Singularity in TaCoTe
Hongtao Rong, Zhenqiao Huang, Xin Zhang +20
Space groups describing the symmetry of lattice structure allow the emergence of fermionic quasiparticles with various degeneracy in the band structure. Theoretical efforts have pr…
Identifying the Alloy Structures of Germanene Grown on Al(111) Surface
Feini Yan, Shaogang Xu, Chao He +3
While the growth of germanene has been claimed on many substrates, the exact crystal structures remain controversial. Here, we systematically explore the possible structures formed…
Five-fold Symmetry in Au-Si Metallic Glass
Chang-Chun He, Shao-Gang Xu, Shao-Bin Qiu +4
The first metallic glass of Au-Si alloy has been discovered for over half a century, but its atomic structure is still puzzling. Herein, Au 8 Si dodecahedrons with local five-fold…
Zero-Shot Aspect-Based Sentiment Analysis
Lei Shu, Hu Xu, Bing Liu +1
Aspect-based sentiment analysis (ABSA) typically requires in-domain annotated data for supervised training/fine-tuning. It is a big challenge to scale ABSA to a large number of new…
User Memory Reasoning for Conversational Recommendation
Hu Xu, Seungwhan Moon, Honglei Liu +3
We study a conversational recommendation model which dynamically manages users' past (offline) preferences and current (online) requests through a structured and cumulative user me…
DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis
Hu Xu, Bing Liu, Lei Shu +1
This paper focuses on learning domain-oriented language models driven by end tasks, which aims to combine the worlds of both general-purpose language models (such as ELMo and BERT)…
Hybridization-Induced Gapped and Gapless States on the Surfaces of Magnetic Topological Insulators
Xiao-Ming Ma, Zhongjia Chen, Eike F. Schwier +25
The layered MnBi2nTe3n+1 family represents the first intrinsic antiferromagnetic topological insulator (AFM TI, protected by a combination symmetry ) ever discovered, providing an…
Controlled CNN-based Sequence Labeling for Aspect Extraction
Lei Shu, Hu Xu, Bing Liu
One key task of fine-grained sentiment analysis on reviews is to extract aspects or features that users have expressed opinions on. This paper focuses on supervised aspect extracti…
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis
Hu Xu, Bing Liu, Lei Shu +1
Question-answering plays an important role in e-commerce as it allows potential customers to actively seek crucial information about products or services to help their purchase dec…
Review Conversational Reading Comprehension
Hu Xu, Bing Liu, Lei Shu +1
Inspired by conversational reading comprehension (CRC), this paper studies a novel task of leveraging reviews as a source to build an agent that can answer multi-turn questions fro…
Storage ring mass spectrometry for nuclear structure and astrophysics research
Y. H. Zhang, Yu. A. Litvinov, T. Uesaka +1
In the last two and a half decades ion storage rings have proven to be powerful tools for precision experiments with unstable nuclides in realm of nuclear structure and astrophysic…
Ideal Intersecting Nodal Ring Phonons in a Body-Centered Cubic C
Y. J. Jin, Z. J. Chen, B. W. Xia +3
Carbon, a basic versatile element in our universe, exhibits rich varieties of allotropic phases, most of which possess promising nontrivial topological fermions. In this work, we i…
Open-world Learning and Application to Product Classification
Hu Xu, Bing Liu, Lei Shu +1
Classic supervised learning makes the closed-world assumption, meaning that classes seen in testing must have been seen in training. However, in the dynamic world, new or unseen cl…
Three-Dimensional Quantum Anomalous Hall Effect in Ferromagnetic Insulators
Y. J. Jin, R. Wang, B. W. Xia +2
The quantum anomalous Hall effect (QAHE) hosts the dissipationless chiral edge states associated with the nonzero Chern number, providing potentially significant applications in fu…
Lifelong Domain Word Embedding via Meta-Learning
Hu Xu, Bing Liu, Lei Shu +1
Learning high-quality domain word embeddings is important for achieving good performance in many NLP tasks. General-purpose embeddings trained on large-scale corpora are often sub-…
Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction
Hu Xu, Bing Liu, Lei Shu +1
One key task of fine-grained sentiment analysis of product reviews is to extract product aspects or features that users have expressed opinions on. This paper focuses on supervised…
Unseen Class Discovery in Open-world Classification
Lei Shu, Hu Xu, Bing Liu
This paper concerns open-world classification, where the classifier not only needs to classify test examples into seen classes that have appeared in training but also reject exampl…
Product Function Need Recognition via Semi-supervised Attention Network
Hu Xu, Sihong Xie, Lei Shu +1
Functionality is of utmost importance to customers when they purchase products. However, it is unclear to customers whether a product can really satisfy their needs on functions. F…
Dual Attention Network for Product Compatibility and Function Satisfiability Analysis
Hu Xu, Sihong Xie, Lei Shu +1
Product compatibility and their functionality are of utmost importance to customers when they purchase products, and to sellers and manufacturers when they sell products. Due to th…
DOC: Deep Open Classification of Text Documents
Lei Shu, Hu Xu, Bing Liu
Traditional supervised learning makes the closed-world assumption that the classes appeared in the test data must have appeared in training. This also applies to text learning or t…
Supervised Complementary Entity Recognition with Augmented Key-value Pairs of Knowledge
Hu Xu, Lei Shu, Philip S. Yu
Extracting opinion targets is an important task in sentiment analysis on product reviews and complementary entities (products) are one important type of opinion targets that may wo…
Lifelong Learning CRF for Supervised Aspect Extraction
Lei Shu, Hu Xu, Bing Liu
This paper makes a focused contribution to supervised aspect extraction. It shows that if the system has performed aspect extraction from many past domains and retained their resul…