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Multilevel Text Alignment with Cross-Document Attention [article]

Xuhui Zhou, Nikolaos Pappas, Noah A. Smith
2020 arXiv   pre-print
We propose a new learning approach that equips previously established hierarchical attention encoders for representing documents with a cross-document attention component, enabling structural comparisons  ...  Existing alignment methods operate at a single, predefined level and cannot learn to align texts at, for example, sentence and document levels.  ...  Conclusion We augment hierarchical attention networks with cross-document attention, allowing their use in document-to-document and sentence-to-document alignment tasks.  ... 
arXiv:2010.01263v1 fatcat:d4w62q54drh75jaryps4377dyi

Multilevel Text Alignment with Cross-Document Attention

Xuhui Zhou, Nikolaos Pappas, Noah A. Smith
2020 Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)   unpublished
We propose a new learning approach that equips previously established hierarchical attention encoders for representing documents with a cross-document attention component, enabling structural comparisons  ...  Existing alignment methods operate at a single, predefined level and cannot learn to align texts at, for example, sentence and document levels.  ...  A Supplementary Material for "Multilevel Text Alignment with Cross-Document Attention" We provide more details about the datasets in the new benchmark, experimental setup, choices of hyperparameters, model  ... 
doi:10.18653/v1/2020.emnlp-main.407 fatcat:jkqo5e6wsvgvfiqz5tjsuqrzze

Page 594 of Computational Linguistics Vol. 27, Issue 4 [page]

2001 Computational Linguistics  
In “Parallel alignment of structured doc- uments,” Romary and Bonhomme view documents as multilevel structures and take advantage of structure information in alignment.  ...  The five chapters on applications of parallel text and alignment illustrate signifi- cant diversity, and at the same time they all draw attention to fundamental problems concerning the matching of units  ... 

Parallel Text Processing: Alignment and Use of Translation Corpora Jean Véronis (editor) (Université de Provence) Dordrecht: Kluwer Academic Publishers (Text, speech and language technology series, edited by Nancy Ide and Jean Véronis, volume 13), 2000, xxiii+402 pp; hardbound, ISBN 0-7923-6546-1, $160.00, £99.00, Dfl 300.00

Philip Resnik
2001 Computational Linguistics  
In “Parallel alignment of structured doc- uments,” Romary and Bonhomme view documents as multilevel structures and take advantage of structure information in alignment.  ...  multilevel matching.  ... 
doi:10.1162/coli.2000.27.4.592 fatcat:mzhyua6fzrbx5dcqowy6lodd6y

Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce

Juntao Li, Chang Liu, Jian Wang, Lidong Bing, Hongsong Li, Xiaozhong Liu, Dongyan Zhao, Rui Yan
2020 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
To tackle this cross-lingual set-to-description retrieval task, we propose a novel cross-lingual matching network (CLMN) with the enhancement of context-dependent cross-lingual mapping upon the pre-trained  ...  With the prosperous of cross-border e-commerce, there is an urgent demand for designing intelligent approaches for assisting e-commerce sellers to offer local products for consumers from all over the world  ...  DAM, a strong text matching network with only attention modules, which is adapted from the response selection task ).  ... 
doi:10.1609/aaai.v34i05.6335 fatcat:qedkc32b6zakblet44yyi2arq4

Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce [article]

Juntao Li, Chang Liu, Jian Wang, Lidong Bing, Hongsong Li, Xiaozhong Liu, Dongyan Zhao, Rui Yan
2020 arXiv   pre-print
To tackle this cross-lingual set-to-description retrieval task, we propose a novel cross-lingual matching network (CLMN) with the enhancement of context-dependent cross-lingual mapping upon the pre-trained  ...  With the prosperous of cross-border e-commerce, there is an urgent demand for designing intelligent approaches for assisting e-commerce sellers to offer local products for consumers from all over the world  ...  DAM, a strong text matching network with only attention modules, which is adapted from the response selection task ).  ... 
arXiv:2005.08188v1 fatcat:2xbuszoc4jegfnmgsihmupkznu

Exploration of Cross-Modal Text Generation Methods in Smart Justice

Yangqianhui Zhang, Liang Zou
2021 Scientific Programming  
With the development of modern science and technology, information technology has brought great changes to many fields.  ...  Therefore, a large number of documents and evidence collection archives will bring tremendous pressure on the judiciary.  ...  A multilevel attention mechanism is added to enhance the flexibility and effectiveness of modal integration.  ... 
doi:10.1155/2021/3225933 fatcat:b6bfqwfwmncv5hy7s6tivtocba

The Analysis of Multilevel Networks in Organizations

Paola Zappa, Alessandro Lomi
2015 Organizational Research Methods  
This is the basic difference between multilevel analysis of networks and the analysis of multilevel networks.  ...  The aim of this article is to show how recently derived multilevel exponential random graph models (MERGMs) may be specified and estimated to address the problems posed by the analysis of multilevel networks  ...  Combined with the statistically nonsignificant Cross-level alignment entrainment and exchange parameters, the Cross-level alignment exchange reciprocal B emphasizes the importance of mutual relations as  ... 
doi:10.1177/1094428115579225 fatcat:xv4ygrff7nesvdttvowq2up4ju

Healthy Eating and Physical Activity Policy, Systems, and Environmental Strategies: A Content Analysis of Community Health Improvement Plans

Meera Sreedhara, Melissa Goulding, Karin Valentine Goins, Christine Frisard, Stephenie C. Lemon
2020 Frontiers in Public Health  
Multilevel latent class analyses were conducted to identify classes of CHIPs based on HE/PA PSE strategy alignment with key activities.  ...  Each HE/PA PSE strategy was assessed for alignment with six key activities that facilitate PSE-change (identifying and framing the problem, engaging and educating key people, identifying PSE solutions,  ...  METHODS Study Design This cross-sectional content analysis of CHIP documents was approved by the University of Massachusetts Medical School Institutional Review Board (24) .  ... 
doi:10.3389/fpubh.2020.580175 pmid:33392132 pmcid:PMC7775553 fatcat:loct2yasxzgtpncluvjkovk76y

Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences [article]

Yi Tay, Luu Anh Tuan, Siu Cheung Hui
2018 arXiv   pre-print
Secondly, it leverages a multi-level attention refinement component between stacked recurrent layers.  ...  Learning a matching function between two text sequences is a long standing problem in NLP research.  ...  Additionally, our model incorporates a Multilevel Attention Refinement (MAR) architecture in order to fully leverage the stacked recurrent architecture.  ... 
arXiv:1810.02938v1 fatcat:setjh4bo45getdaj6ilaz7edvi

A new approach to semantic sustainability assessment: text mining via network analysis revealing transition patterns in German municipal climate action plans

Manuel W. Bickel
2017 Energy, Sustainability and Society  
For a transition towards sustainability, a well-orchestrated cross-sectoral multilevel approach is required.  ...  The most common text representation with a reasonable performance is splitting text into a vector of terms [74, 77] . This results in a document-term-matrix (d-t-m).  ...  Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.  ... 
doi:10.1186/s13705-017-0125-0 fatcat:bprn66d2fvaojogr4vy3qdbsjq

Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text

Matus Falis, Maciej Pajak, Aneta Lisowska, Patrick Schrempf, Lucas Deckers, Shadia Mikhael, Sotirios Tsaftaris, Alison O'Neil
2019 Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019)  
Visualisation of the multilevel attention on the original text allows explanation of the code predictions according to the semantics of the ICD ontology.  ...  We present a semantically interpretable system for automated ICD coding of clinical text documents.  ...  Introduction Classification of clinical free-text documents poses some difficult technical challenges.  ... 
doi:10.18653/v1/d19-6220 dblp:conf/acl-louhi/FalisPLSDMTO19 fatcat:w6gk5fyhfrhhppkxgxegq5jaia

Multilingual Entity, Relation, Event and Human Value Extraction

Manling Li, Ying Lin, Joseph Hoover, Spencer Whitehead, Clare Voss, Morteza Dehghani, Heng Ji
2019 Proceedings of the 2019 Conference of the North  
This system is publicly available as a docker container and a live demo, 1,2 with a video demonstrating the system 3 .  ...  It extracts and aggregates knowledge elements across multiple languages and documents as well as provides visualizations of the results along three dimensions: temporal (as displayed in an event timeline  ...  The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the U.S. Government.  ... 
doi:10.18653/v1/n19-4019 dblp:conf/naacl/LiLHWVDJ19 fatcat:fphos22em5e73jf64frl6tpsha

Understanding Plagiarism Linguistic Patterns, Textual Features, and Detection Methods

Salha M. Alzahrani, Naomie Salim, Ajith Abraham
2012 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
texts with concept generalization and specification, and adopting ideas and important contributions of others.  ...  techniques (CROSS).  ...  Cross-lingual methods are based on the measurement of the similarity between sections of the suspicious document d q and sections of the candidate document in d x based on cross-language text features.  ... 
doi:10.1109/tsmcc.2011.2134847 fatcat:umjzayni2bdobiwpkdtu7upir4

Deep Learning Techniques for Future Intelligent Cross-Media Retrieval [article]

Sadaqat ur Rehman, Muhammad Waqas, Shanshan Tu, Anis Koubaa, Obaid ur Rehman, Jawad Ahmad, Muhammad Hanif, Zhu Han
2020 arXiv   pre-print
With the advancement in technology and the expansion of broadcasting, cross-media retrieval has gained much attention.  ...  In this paper, we provide a novel taxonomy according to the challenges faced by multi-modal deep learning approaches in solving cross-media retrieval, namely: representation, alignment, and translation  ...  [133] proposed Cross-media Relation Attention Network (CRAN) with multilevel alignment.  ... 
arXiv:2008.01191v1 fatcat:t63bg55w2vdqjcprzaaidrmprq
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