no code implementations • 6 Dec 2023 • Haixun Wang, Taesik Na
Instead of converting unstructured data (web pages, customer reviews, etc) to structured data, we instead convert structured data (product inventory, catalogs, taxonomies, etc) into textual data, which can be easily integrated into the text corpus that trains LLMs.
no code implementations • 11 Nov 2023 • Xiaochen Wang, Xiao Xiao, Ruhan Zhang, Xuan Zhang, Taesik Na, Tejaswi Tenneti, Haixun Wang, Fenglong Ma
Efficient and accurate product relevance assessment is critical for user experiences and business success.
no code implementations • 12 Sep 2022 • Yuqing Xie, Taesik Na, Xiao Xiao, Saurav Manchanda, Young Rao, Zhihong Xu, Guanghua Shu, Esther Vasiete, Tejaswi Tenneti, Haixun Wang
To train the model efficiently on noisy data, we propose a self-adversarial learning method and a cascade training method.
no code implementations • 28 Oct 2021 • Yao Zhou, Haonan Wang, Jingrui He, Haixun Wang
With the prevalence of deep learning based embedding approaches, recommender systems have become a proven and indispensable tool in various information filtering applications.
1 code implementation • ACL 2021 • Hongliang Dai, Yangqiu Song, Haixun Wang
Recently, there is an effort to extend fine-grained entity typing by using a richer and ultra-fine set of types, and labeling noun phrases including pronouns and nominal nouns instead of just named entity mentions.
Ranked #1 on Entity Typing on Ontonotes v5 (English) (using extra training data)
1 code implementation • 18 Sep 2020 • Yao Zhou, Jun Wu, Haixun Wang, Jingrui He
In this work, we show that this paradigm might inherit the adversarial vulnerability of the centralized neural network, i. e., it has deteriorated performance on adversarial examples when the model is deployed.
no code implementations • 28 Aug 2019 • Jingjing Li, Wenlu Wang, Wei-Shinn Ku, Yingtao Tian, Haixun Wang
A natural language interface (NLI) to databases is an interface that translates a natural language question to a structured query that is executable by database management systems (DBMS).
no code implementations • 6 Mar 2019 • Wanyun Cui, Yanghua Xiao, Haixun Wang, Yangqiu Song, Seung-won Hwang, Wei Wang
Based on these templates, our QA system KBQA effectively supports binary factoid questions, as well as complex questions which are composed of a series of binary factoid questions.
2 code implementations • 7 Sep 2018 • Wenlu Wang, Yingtao Tian, Hongyu Xiong, Haixun Wang, Wei-Shinn Ku
In this work, we introduce a general purpose transfer-learnable NLI with the goal of learning one model that can be used as NLI for any relational database.
no code implementations • 20 Oct 2017 • Wanyun Cui, Xiyou Zhou, Hangyu Lin, Yanghua Xiao, Haixun Wang, Seung-won Hwang, Wei Wang
In this paper, we introduce verb patterns to represent verbs' semantics, such that each pattern corresponds to a single semantic of the verb.
no code implementations • 29 Nov 2015 • Yi Zhang, Yanghua Xiao, Seung-won Hwang, Haixun Wang, X. Sean Wang, Wei Wang
This paper provides a query processing method based on the relevance models between entity sets and concepts.
no code implementations • TACL 2013 • Hongsong Li, Kenny Q. Zhu, Haixun Wang
Recognizing metaphors and identifying the source-target mappings is an important task as metaphorical text poses a big challenge for machine reading.