Xiaolan Wang

According to our database, Xiaolan Wang authored at least 32 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2022

Noisy Pairing and Partial Supervision for Opinion Summarization.

Hayate Iso, Xiaolan Wang, Yoshi Suhara

CoRR, 2022

Beyond Opinion Mining: Summarizing Opinions of Customer Reviews.

Reinald Kim Amplayo, Arthur Brazinskas, Yoshi Suhara, Xiaolan Wang, Bing Liu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Summarizing Community-based Question-Answer Pairs.

Ting-Yao Hsu, Yoshi Suhara, Xiaolan Wang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Comparative Opinion Summarization via Collaborative Decoding.

Hayate Iso, Xiaolan Wang, Stefanos Angelidis, Yoshihiko Suhara

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Extractive Opinion Summarization in Quantized Transformer Spaces.

Stefanos Angelidis, Reinald Kim Amplayo, Yoshihiko Suhara, Xiaolan Wang, Mirella Lapata

Trans. Assoc. Comput. Linguistics, 2021

Data Augmentation for ML-driven Data Preparation and Integration.

Yuliang Li, Xiaolan Wang, Zhengjie Miao, Wang-Chiew Tan

Proc. VLDB Endow., 2021

Comparative Opinion Summarization via Collaborative Decoding.

Hayate Iso, Xiaolan Wang, Yoshihiko Suhara

CoRR, 2021

Constructing Explainable Opinion Graphs from Reviews.

Nofar Carmeli, Xiaolan Wang, Yoshihiko Suhara, Stefanos Angelidis, Yuliang Li, Jinfeng Li, Wang-Chiew Tan

Proceedings of the WWW '21: The Web Conference 2021, 2021

Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond.

Zhengjie Miao, Yuliang Li, Xiaolan Wang

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Convex Aggregation for Opinion Summarization.

Hayate Iso, Xiaolan Wang, Yoshihiko Suhara, Stefanos Angelidis, Wang-Chiew Tan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Deep or Simple Models for Semantic Tagging? It Depends on your Data.

Jinfeng Li, Yuliang Li, Xiaolan Wang, Wang-Chiew Tan

Proc. VLDB Endow., 2020

Deep or Simple Models for Semantic Tagging? It Depends on your Data [Experiments].

Jinfeng Li, Yuliang Li, Xiaolan Wang, Wang-Chiew Tan

CoRR, 2020

ExplainIt: Explainable Review Summarization with Opinion Causality Graphs.

Nofar Carmeli, Xiaolan Wang, Yoshihiko Suhara, Stefanos Angelidis, Yuliang Li, Jinfeng Li, Wang-Chiew Tan

CoRR, 2020

Enhancing Review Comprehension with Domain-Specific Commonsense.

Aaron Traylor, Chen Chen, Behzad Golshan, Xiaolan Wang, Yuliang Li, Yoshihiko Suhara, Jinfeng Li, Çagatay Demiralp, Wang-Chiew Tan

CoRR, 2020

ExtremeReader: An interactive explorer for customizable and explainable review summarization.

Xiaolan Wang, Yoshihiko Suhara, Natalie Nuno, Yuliang Li, Jinfeng Li, Nofar Carmeli, Stefanos Angelidis, Eser Kandogann, Wang-Chiew Tan

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Snippext: Semi-supervised Opinion Mining with Augmented Data.

Zhengjie Miao, Yuliang Li, Xiaolan Wang, Wang-Chiew Tan

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Sampo: Unsupervised Knowledge Base Construction for Opinions and Implications.

Nikita Bhutani, Aaron Traylor, Chen Chen, Xiaolan Wang, Behzad Golshan, Wang-Chiew Tan

Proceedings of the Conference on Automated Knowledge Base Construction, 2020

OpinionDigest: A Simple Framework for Opinion Summarization.

Yoshihiko Suhara, Xiaolan Wang, Stefanos Angelidis, Wang-Chiew Tan

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Explain3D: Explaining Disagreements in Disjoint Datasets.

Xiaolan Wang, Alexandra Meliou

Proc. VLDB Endow., 2019

Voyageur: An Experiential Travel Search Engine.

Sara Evensen, Aaron Feng, Alon Y. Halevy, Jinfeng Li, Vivian Li, Yuliang Li, Huining Liu, George A. Mihaila, John Morales, Natalie Nuno, Ekaterina Pavlovic, Wang-Chiew Tan, Xiaolan Wang

Proceedings of the World Wide Web Conference, 2019

MIDAS: Finding the Right Web Sources to Fill Knowledge Gaps.

Xiaolan Wang, Xin Luna Dong, Yang Li, Alexandra Meliou

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

Robust Multi-Variate Temporal Features of Multi-Variate Time Series.

Sicong Liu, Silvestro Roberto Poccia, K. Selçuk Candan, Maria Luisa Sapino, Xiaolan Wang

ACM Trans. Multim. Comput. Commun. Appl., 2018

Koko: A System for Scalable Semantic Querying of Text.

Xiaolan Wang, Jiyu Komiya, Yoshihiko Suhara, Aaron Feng, Behzad Golshan, Alon Y. Halevy, Wang-Chiew Tan

Proc. VLDB Endow., 2018

Scalable Semantic Querying of Text.

Xiaolan Wang, Aaron Feng, Behzad Golshan, Alon Y. Halevy, George A. Mihaila, Hidekazu Oiwa, Wang-Chiew Tan

Proc. VLDB Endow., 2018

Explaining Data Integration.

Xiaolan Wang, Laura M. Haas, Alexandra Meliou

IEEE Data Eng. Bull., 2018

2017

QFix: Diagnosing Errors through Query Histories.

Xiaolan Wang, Alexandra Meliou, Eugene Wu

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

2016

QFix: Demonstrating Error Diagnosis in Query Histories.

Xiaolan Wang, Alexandra Meliou, Eugene Wu

Proceedings of the 2016 International Conference on Management of Data, 2016

2015

Error Diagnosis and Data Profiling with Data X-Ray.

Xiaolan Wang, Mary Feng, Yue Wang, Xin Luna Dong, Alexandra Meliou

Proc. VLDB Endow., 2015

Data X-Ray: A Diagnostic Tool for Data Errors.

Xiaolan Wang, Xin Luna Dong, Alexandra Meliou

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

2014

Leveraging metadata for identifying local, robust multi-variate temporal (RMT) features.

Xiaolan Wang, K. Selçuk Candan, Maria Luisa Sapino

Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

2012

sDTW: Computing DTW Distances using Locally Relevant Constraints based on Salient Feature Alignments.

K. Selçuk Candan, Rosaria Rossini, Maria Luisa Sapino, Xiaolan Wang

Proc. VLDB Endow., 2012

STFMap: query- and feature-driven visualization of large time series data sets.

K. Selçuk Candan, Rosaria Rossini, Maria Luisa Sapino, Xiaolan Wang

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012