Search Results for author: Xin Luna Dong

Found 22 papers, 3 papers with code

End-to-End Conversational Search for Online Shopping with Utterance Transfer

no code implementations12 Sep 2021 Liqiang Xiao, Jun Ma2, Xin Luna Dong, Pascual Martinez-Gomez, Nasser Zalmout, Wei Chen, Tong Zhao, Hao He, Yaohui Jin

Successful conversational search systems can present natural, adaptive and interactive shopping experience for online shopping customers.

Conversational Search

PAM: Understanding Product Images in Cross Product Category Attribute Extraction

no code implementations8 Jun 2021 Rongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong

Understanding product attributes plays an important role in improving online shopping experience for customers and serves as an integral part for constructing a product knowledge graph.

Optical Character Recognition Question Answering +1

CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction

no code implementations ACL 2021 Zhengbao Jiang, Jialong Han, Bunyamin Sisman, Xin Luna Dong

We propose a two-stage Collective Relation Integration (CoRI) model, where the first stage independently makes candidate predictions, and the second stage employs a collective model that accesses all candidate predictions to make globally coherent predictions.

Data Augmentation Knowledge Graphs +2

TCN: Table Convolutional Network for Web Table Interpretation

no code implementations17 Feb 2021 Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang

Existing work linearize table cells and heavily rely on modifying deep language models such as BERT which only captures related cells information in the same table.

Representation Learning Type prediction

J-Recs: Principled and Scalable Recommendation Justification

no code implementations11 Nov 2020 Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong

Online recommendation is an essential functionality across a variety of services, including e-commerce and video streaming, where items to buy, watch, or read are suggested to users.

CorDEL: A Contrastive Deep Learning Approach for Entity Linkage

no code implementations15 Sep 2020 Zhengyang Wang, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Shuiwang Ji

We evaluate CorDEL with extensive experiments conducted on both public benchmark datasets and a real-world dataset.

Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web

no code implementations ACL 2020 Xin Luna Dong, Hannaneh Hajishirzi, Colin Lockard, Prashant Shiralkar

In this tutorial we take a holistic view toward information extraction, exploring the commonalities in the challenges and solutions developed to address these different forms of text.

Entity Linking

MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals

no code implementations22 Jun 2020 Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos

MultiImport is a latent variable model that captures the relation between node importance and input signals, and effectively learns from multiple signals with potential conflicts.

Octet: Online Catalog Taxonomy Enrichment with Self-Supervision

no code implementations18 Jun 2020 Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han

We propose to distantly train a sequence labeling model for term extraction and employ graph neural networks (GNNs) to capture the taxonomy structure as well as the query-item-taxonomy interactions for term attachment.

Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data

no code implementations15 Jun 2020 Yaqing Wang, Yifan Ethan Xu, Xi-An Li, Xin Luna Dong, Jing Gao

(1) We formalize the problem of validating the textual attribute values of products from a variety of categories as a natural language inference task in the few-shot learning setting, and propose a meta-learning latent variable model to jointly process the signals obtained from product profiles and textual attribute values.

Few-Shot Learning Natural Language Inference

ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages

no code implementations ACL 2020 Colin Lockard, Prashant Shiralkar, Xin Luna Dong, Hannaneh Hajishirzi

In this work, we propose a solution for "zero-shot" open-domain relation extraction from webpages with a previously unseen template, including from websites with little overlap with existing sources of knowledge for distant supervision and websites in entirely new subject verticals.

Relation Extraction

AutoBlock: A Hands-off Blocking Framework for Entity Matching

1 code implementation7 Dec 2019 Wei Zhang, Hao Wei, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, David Page

Entity matching seeks to identify data records over one or multiple data sources that refer to the same real-world entity.

Entity Resolution Representation Learning

Efficient Knowledge Graph Accuracy Evaluation

no code implementations23 Jul 2019 Junyang Gao, Xi-An Li, Yifan Ethan Xu, Bunyamin Sisman, Xin Luna Dong, Jun Yang

To address the problem, this paper proposes an efficient sampling and evaluation framework, which aims to provide quality accuracy evaluation with strong statistical guarantee while minimizing human efforts.


OpenCeres: When Open Information Extraction Meets the Semi-Structured Web

no code implementations NAACL 2019 Colin Lockard, Prashant Shiralkar, Xin Luna Dong

In this paper, we define the problem of OpenIE from semi-structured websites to extract such facts, and present an approach for solving it.

Open Information Extraction Relation Extraction

OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference

1 code implementation NAACL 2019 Dongxu Zhang, Subhabrata Mukherjee, Colin Lockard, Xin Luna Dong, Andrew McCallum

In this paper, we consider advancing web-scale knowledge extraction and alignment by integrating OpenIE extractions in the form of (subject, predicate, object) triples with Knowledge Bases (KB).

Open Information Extraction

CERES: Distantly Supervised Relation Extraction from the Semi-Structured Web

no code implementations12 Apr 2018 Colin Lockard, Xin Luna Dong, Arash Einolghozati, Prashant Shiralkar

In this paper we present a new method for automatic extraction from semi-structured websites based on distant supervision.

Relation Extraction

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