323 citations · 422 across the 15 of their papers we have counts for
17 papers
TimelineQA: A Benchmark for Question Answering over Timelines
Wang-Chiew Tan, Jane Dwivedi-Yu, Yuliang Li +4
Lifelogs are descriptions of experiences that a person had during their life. Lifelogs are created by fusing data from the multitude of digital services, such as online photos, map…
Reimagining Retrieval Augmented Language Models for Answering Queries
Wang-Chiew Tan, Yuliang Li, Pedro Rodriguez +4
We present a reality check on large language models and inspect the promise of retrieval augmented language models in comparison. Such language models are semi-parametric, where mo…
Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning
Grace Fan, Jin Wang, Yuliang Li +2
Dataset discovery from data lakes is essential in many real application scenarios. In this paper, we propose Starmie, an end-to-end framework for dataset discovery from data lakes…
Sudowoodo: Contrastive Self-supervised Learning for Multi-purpose Data Integration and Preparation
Runhui Wang, Yuliang Li, Jin Wang
Machine learning (ML) is playing an increasingly important role in data management tasks, particularly in Data Integration and Preparation (DI&P). The success of ML-based approache…
Machop: an End-to-End Generalized Entity Matching Framework
Jin Wang, Yuliang Li, Wataru Hirota +1
Real-world applications frequently seek to solve a general form of the Entity Matching (EM) problem to find associated entities. Such scenarios include matching jobs to candidates…
TCUDB: Accelerating Database with Tensor Processors
Yu-Ching Hu, Yuliang Li, Hung-Wei Tseng
The emergence of novel hardware accelerators has powered the tremendous growth of machine learning in recent years. These accelerators deliver incomparable performance gains in pro…
Deep or Simple Models for Semantic Tagging? It Depends on your Data [Experiments]
Jinfeng Li, Yuliang Li, Xiaolan Wang +1
Semantic tagging, which has extensive applications in text mining, predicts whether a given piece of text conveys the meaning of a given semantic tag. The problem of semantic taggi…
Enhancing Review Comprehension with Domain-Specific Commonsense
Aaron Traylor, Chen Chen, Behzad Golshan +6
Review comprehension has played an increasingly important role in improving the quality of online services and products and commonsense knowledge can further enhance review compreh…
Deep Entity Matching with Pre-Trained Language Models
Yuliang Li, Jinfeng Li, Yoshihiko Suhara +2
We present Ditto, a novel entity matching system based on pre-trained Transformer-based language models. We fine-tune and cast EM as a sequence-pair classification problem to lever…
Snippext: Semi-supervised Opinion Mining with Augmented Data
Zhengjie Miao, Yuliang Li, Xiaolan Wang +1
Online services are interested in solutions to opinion mining, which is the problem of extracting aspects, opinions, and sentiments from text. One method to mine opinions is to lev…
Teddy: A System for Interactive Review Analysis
Xiong Zhang, Jonathan Engel, Sara Evensen +3
Reviews are integral to e-commerce services and products. They contain a wealth of information about the opinions and experiences of users, which can help better understand consume…
Voyageur: An Experiential Travel Search Engine
Sara Evensen, Aaron Feng, Alon Halevy +10
We describe Voyageur, which is an application of experiential search to the domain of travel. Unlike traditional search engines for online services, experiential search focuses on…
Subjective Databases
Yuliang Li, Aaron Xixuan Feng, Jinfeng Li +4
Online users are constantly seeking experiences, such as a hotel with clean rooms and a lively bar, or a restaurant for a romantic rendezvous. However, e-commerce search engines on…
Index-based, High-dimensional, Cosine Threshold Querying with Optimality Guarantees
Yuliang Li, Jianguo Wang, Benjamin Pullman +2
Given a database of vectors, a cosine threshold query returns all vectors in the database having cosine similarity to a query vector above a given threshold θ. These queries arise…
VERIFAS: A Practical Verifier for Artifact Systems
Yuliang Li, Alin Deutsch, Victor Vianu
Data-driven workflows, of which IBM's Business Artifacts are a prime exponent, have been successfully deployed in practice, adopted in industrial standards, and have spawned a rich…
SpinArt: A Spin-based Verifier for Artifact Systems
Yuliang Li, Alin Deutsch, Victor Vianu
Data-driven workflows, of which IBM's Business Artifacts are a prime exponent, have been successfully deployed in practice, adopted in industrial standards, and have spawned a rich…
Verification of Hierarchical Artifact Systems
Alin Deutsch, Yuliang Li, Victor Vianu
Data-driven workflows, of which IBM's Business Artifacts are a prime exponent, have been successfully deployed in practice, adopted in industrial standards, and have spawned a rich…