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Construction of Corpus in Artificial Intelligence Age

Changchun Hong, Wen-Pei Sung, Tao-Yun Han
2018 MATEC Web of Conferences  
The paper aims to exploring the mode of corpus construction from the perspective of information mining, information retrieval and information processing.  ...  The retrieval system uses web crawlers to collect network information and automatic tagging technology to index the collected information, then applies corresponding language processing techniques to achieve  ...  The ambiguity in cross-language information retrieval comes from both the source language and the target language.  ... 
doi:10.1051/matecconf/201817503037 fatcat:7lfrc2hpxjhi3phgqaaejbgscy

MIETTA --- a framework for uniform and multilingual access to structured database and Web information

Feiyu Xu, Klaus Netter, Holger Stenzhorn
2000 Proceedings of the fifth international workshop on on Information retrieval with Asian languages - IRAL '00  
The framework integrates a crosslingual retrieval strategy with a strategy using natural language techniques: information extraction and multilingual generation.  ...  The combination of information extraction and multilingual generation enables on the one hand, multilingual presentation of the database content, and on the other hand, free text crosslingual information  ...  Introduction In recent years, more and more attention has been paid to multilingual information access both in the crosslingual information retrieval ( [2] ; [9] ; [15] ; [16] ) and the natural language  ... 
doi:10.1145/355214.355220 dblp:conf/iral/XuNS00 fatcat:uy2siqnrarde7jnib3ry7oe6dy

Progress in the Application of Natural Language Processing to Information Retrieval Tasks

A. F. Smeaton
1992 Computer journal  
text, text retrieval, text abstracting and summarisation, thesaurus generation from text corpus and conceptual information retrieval.  ...  Providing effective access to information expressed as natural language can only be successfully done by processing the actual language of the text rather than just the individual words that have occurred  ...  The system has retrieved individual pieces of information from the texts it has processed, put them together and generated natural language responses to queries.  ... 
doi:10.1093/comjnl/35.3.268 fatcat:fz3jflo4ijg4xltn7kydzgn7o4

A comparison of Relational Databases and information retrieval libraries on Turkish text retrieval

Ahmet Arslan, Ozgur Yilmazel
2008 2008 International Conference on Natural Language Processing and Knowledge Engineering  
The effects of language specific preprocessing and different query lengths for different information retrieval systems are investigated.  ...  The present work covers a comparison of the text retrieval performances of relational databases and IR Systems over a TREC-like test collection for Turkish.  ...  Cuna Ekmekcioglu and Peter Willett [7] investigated effectiveness of stemming for Turkish text retrieval using 6,289 news stories extracted from Turkish newspapers and a set of 50 natural-language queries  ... 
doi:10.1109/nlpke.2008.4906748 dblp:conf/nlpke/ArslanY08 fatcat:imn5btfxizdg7hrfj3mlv2imsa

Humanoid Personalized Avatar Through Multiple Natural Language Processing

Jin Hou, Xia Wang, Fang Xu, Viet Dung Nguyen, Ling Wu
2009 Zenodo  
We extract semantic keywords from the input text through natural language processing, and then the animations of personalized avatars are retrieved and displayed according to the order of the keywords.  ...  Our primary work is focused on giving avatars runtime instruction from multiple natural languages.  ...  But giving avatar run-time instruction from natural language is still relatively unexplored.  ... 
doi:10.5281/zenodo.1081862 fatcat:i2pdkvxxsncjfbhbsuvtarbw74

Probabilistic Topic Models for Text Data Retrieval and Analysis

ChengXiang Zhai
2017 Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '17  
Text data include all kinds of natural language text such as web pages, news articles, scienti c literature, emails, enterprise documents, and social media posts.  ...  data; they also provide a general and robust latent semantic representation of text data, thus improving many applications in information retrieval and text mining.  ...  His research interests include information retrieval, text mining, natural language processing, machine learning, biomedical and health informatics, and intelligent education systems.  ... 
doi:10.1145/3077136.3082067 dblp:conf/sigir/Zhai17 fatcat:qp4ppcciefasxdx7efxp4fncxi

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Paul Kantor
2012 Information retrieval (Boston)  
As befits a contemporary book in the field of information retrieval, this work has a website, available through the MIT Press home site, which is updated from time to time (in October 2000 the date of  ...  The last two chapters focus on specific issues that are close to information retrieval, including language models, and text categorization.  ... 
doi:10.1023/a:1011424425034 fatcat:nvutb3azyreetpz2ooqw5ywvuq

Natural Language Processing and Parallel Computing for Information Retrieval from Electronic Health Records

Ali Abu Salimeh, Najah Al-shanableh, Mazen Alzyoud, A. Kattan
2022 ITM Web of Conferences  
In this paper, we review the literature to find suitable information retrieval techniques for EHealth.  ...  Also discussed NLP techniques that have been proved their capability to extract valuable information in unstructured data from EHR.  ...  For Natural language processing from EHR, where massive computations happen, parallel computing can increase the accuracy while minimizing processing time [11] .  ... 
doi:10.1051/itmconf/20224201013 fatcat:thgpluxzoveaxigs4xhim72gui

An MPEG-7 compatible video retrieval system with support for semantic queries

Quan Zheng, Zhiwei Zhou
2011 2011 International Conference on Consumer Electronics, Communications and Networks (CECNet)  
Because of adopting a distributed architecture, XUNET is highly scalable and supports mass video information index and retrieval.  ...  It firstly uses a self-made video semantic processing tool, which is based on a video analysis tool and added with semantic graph annotation and natural language processing functions, to parse videos and  ...  Users can retrieve in retrieval subsystem, the other is to analyze and extend the semantic information from text annotation information in MPEG-7 video description files in Information Management Subsystem  ... 
doi:10.1109/cecnet.2011.5768292 fatcat:haf4fn7kvjfhjbzg3atwf5z3we

On Cohort Retrieval System from Clinical Data Repositories using OMOP Common Data Model: A Proof-of-Concept Implementation (Preprint)

Sijia Liu, Yanshan Wang, Andrew Wen, Liwei Wang, Na Hong, Feichen Shen, Steven Bedrick, William Hersh, Hongfang Liu
2019 JMIR Medical Informatics  
The natural language processing component was used to extract common data model concepts from textual queries.  ...  of Text from Electronic Health Records (CREATE).  ...  information retrieval or natural language processing techniques for case detection.  ... 
doi:10.2196/17376 pmid:33021486 fatcat:jnr452ywrzbuhajeamukcb4aqi

Natural language techniques for intelligent information retrieval

P. S. Jacob, L. F. Rau
1988 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '88  
Neither natural language processing nor information retrieval is any longer a young field, but the two areas have yet to achieve a graceful interaction.  ...  This discussion has described the state of the art in natural language interfaces and text processing technology, along with some applications of this technology to information retrieval.  ... 
doi:10.1145/62437.62442 dblp:conf/sigir/JacobsR88 fatcat:nmy5t3la45atbesvexpihfayly

Natural Language Object Retrieval

Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
Natural language object retrieval differs from text-based image retrieval task as it involves spatial information about objects within the scene and global scene context.  ...  In this paper, we address the task of natural language object retrieval, to localize a target object within a given image based on a natural language query of the object.  ...  Although both text-based image retrieval and natural language object retrieval involve jointly modeling images and text, they are different vision and language domains with domain shift from whole images  ... 
doi:10.1109/cvpr.2016.493 dblp:conf/cvpr/HuXRFSD16 fatcat:gwvhrrz5zvagtinttpc3uumkdq

Survey on Information Retrieval and Pattern Matching for Compressed Data Size using the SVD Technique on Real Audio Dataset

Poonam Dhumal, S. S.
2016 International Journal of Computer Applications  
In this paper, different existing Information Retrieval, Pattern Matching, Rule Generation Algorithm is reviewed.  ...  Finally the extract user required information from large unstructured database.  ...  Steps Of Text Mining Text mining involves application of techniques from different areas like information retrieval, natural language processing (NLP), information extraction, and data mining.  ... 
doi:10.5120/ijca2016908120 fatcat:6vvcyrznm5gutfudfysvss5gvq

Ivia: Interactive Video Intelligent Agent Framework for Instructional Video Information Retrieval

Emdad Khan, Adel AlSalem
2012 Procedia - Social and Behavioral Sciences  
In this paper, we propose a framework for information retrieval of instructional video content in an ELMS that utilizes Natural Language Understanding / PROCESSING and an Intelligent Agent in a seamless  ...  Instructional video is one type of content that is inherently large in volume and sequential in nature in accessing the videos which makes it difficult to manage and retrieve information.  ...  Thus, our approach is the use of Natural Language Understanding (NLU) for Intelligent Information Retrieval.  ... 
doi:10.1016/j.sbspro.2012.11.022 fatcat:a7kszk6ohzatbdxjjdttwyqkxu

Natural Language Object Retrieval [article]

Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell
2016 arXiv   pre-print
Natural language object retrieval differs from text-based image retrieval task as it involves spatial information about objects within the scene and global scene context.  ...  In this paper, we address the task of natural language object retrieval, to localize a target object within a given image based on a natural language query of the object.  ...  Although both text-based image retrieval and natural language object retrieval involve jointly modeling images and text, they are different vision and language domains with domain shift from whole images  ... 
arXiv:1511.04164v3 fatcat:u4iofenffjfkbp5xv73xf4arhq
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