Search Results for author: Haixun Wang

Found 13 papers, 3 papers with code

Rethinking E-Commerce Search

no code implementations6 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.

Information Retrieval Recommendation Systems +1

Mitigating Pooling Bias in E-commerce Search via False Negative Estimation

no code implementations11 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.

An Embedding-Based Grocery Search Model at Instacart

no code implementations12 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.

From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems

no code implementations28 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.

counterfactual Explainable Models +2

Ultra-Fine Entity Typing with Weak Supervision from a Masked Language Model

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)

Entity Typing Language Modelling +1

Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning

1 code implementation18 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.

Adversarial Robustness Federated Learning +1

SpatialNLI: A Spatial Domain Natural Language Interface to Databases Using Spatial Comprehension

no code implementations28 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).

Management Reading Comprehension

KBQA: Learning Question Answering over QA Corpora and Knowledge Bases

no code implementations6 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.

Question Answering

A Transfer-Learnable Natural Language Interface for Databases

2 code implementations7 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.

Management Natural Language Queries

Verb Pattern: A Probabilistic Semantic Representation on Verbs

no code implementations20 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.


Entity Suggestion by Example using a Conceptual Taxonomy

no code implementations29 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.

Data-Driven Metaphor Recognition and Explanation

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.

Reading Comprehension

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