document representations Latest Research Papers

In this paper, we present an approach for combining different document representations to support retrieval systems to deliver similar documents from different views.

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Fusing Various Document Representations for Comparative Text Identification from Product Reviews

10.1007/978-3-030-87571-8_46 ◽

2021 ◽

pp. 531-543

Author(s):

Jing Liu ◽

Xiaoying Wang ◽

Lihua Huang

Keyword(s):

Product Reviews ◽

Document Representations

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MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection

10.18653/v1/2021.findings-emnlp.253 ◽

2021 ◽

Author(s):

Matthew Matero ◽

Nikita Soni ◽

Niranjan Balasubramanian ◽

H. Andrew Schwartz

Keyword(s):

Document Representations

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Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval

10.18653/v1/2021.acl-long.392 ◽

2021 ◽

Author(s):

Hongyin Tang ◽

Xingwu Sun ◽

Beihong Jin ◽

Jingang Wang ◽

Fuzheng Zhang ◽

...

Keyword(s):

Document Representations

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Learning Inter-Lingual Document Representations via Concept Compression

10.1007/978-3-030-91608-4_27 ◽

2021 ◽

pp. 268-276

Author(s):

Marc Lenz ◽

Tsegaye Misikir Tashu ◽

Tomáš Horváth

Keyword(s):

Document Representations

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An Active Learning Approach for Identifying Adverse Drug Reaction-Related Text from Social Media Using Various Document Representations

10.1007/978-3-030-87571-8_1 ◽

2021 ◽

pp. 3-15

Author(s):

Jing Liu ◽

Lihua Huang ◽

Chenghong Zhang

Keyword(s):

Social Media ◽

Adverse Drug Reaction ◽

Drug Reaction ◽

Active Learning ◽

Learning Approach ◽

Related Text ◽

Document Representations

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Revisiting Document Representations for Large-Scale Zero-Shot Learning

10.18653/v1/2021.naacl-main.250 ◽

2021 ◽

Author(s):

Jihyung Kil ◽

Wei-Lun Chao

Keyword(s):

Large Scale ◽

Document Representations

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document representations
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NewsEmbed: Modeling News through Pre-trained Document Representations

Interpretable Document Representations for Fast and Accurate Retrieval of Mathematical Information

Evaluating document representations for content-based legal literature recommendations

Complementary Document Representations for Information Retrieval

Fusing Various Document Representations for Comparative Text Identification from Product Reviews

MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection

Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval

Learning Inter-Lingual Document Representations via Concept Compression

An Active Learning Approach for Identifying Adverse Drug Reaction-Related Text from Social Media Using Various Document Representations

Revisiting Document Representations for Large-Scale Zero-Shot Learning

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document representationsRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

NewsEmbed: Modeling News through Pre-trained Document Representations

Interpretable Document Representations for Fast and Accurate Retrieval of Mathematical Information

Evaluating document representations for content-based legal literature recommendations

Complementary Document Representations for Information Retrieval

Fusing Various Document Representations for Comparative Text Identification from Product Reviews

MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection

Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval

Learning Inter-Lingual Document Representations via Concept Compression

An Active Learning Approach for Identifying Adverse Drug Reaction-Related Text from Social Media Using Various Document Representations

Revisiting Document Representations for Large-Scale Zero-Shot Learning

document representations
Recently Published Documents