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Document re-ranking based on automatically acquired key terms in Chinese information retrieval

Yang Lingpeng, Ji Donghong, Tang Li
2004 Proceedings of the 20th international conference on Computational Linguistics - COLING '04   unpublished
For Information Retrieval,  ...  After we have acquired Local Key Terms, we use them to re-weight the top M documents in initial ranking documents.  ...  In most practical situations, users concern more on the precision of top ranking documents than recall because users want to acquire relevant information from the top ranking documents.  ... 
doi:10.3115/1220355.1220424 fatcat:bzs4v4ivzjdthdeokvflxrvf2i

Document re-ranking using cluster validation and label propagation

Lingpeng Yang, Donghong Ji, Guodong Zhou, Yu Nie, Guozheng Xiao
2006 Proceedings of the 15th ACM international conference on Information and knowledge management - CIKM '06  
This paper proposes a novel document re-ranking approach in information retrieval, which is done by a label propagationbased semi-supervised learning algorithm to utilize the intrinsic structure underlying  ...  Since no labeled relevant or irrelevant documents are generally available in IR, our approach tries to extract some pseudo labeled documents from the ranking list of the initial retrieval.  ...  Normally, it can be achieved in two ways: direct re-ranking on initial retrieved documents and indirect re-ranking via automatic query expansion (QE).  ... 
doi:10.1145/1183614.1183713 dblp:conf/cikm/YangJZNX06 fatcat:checcs6atrgulfrh23lxt4hz6m

Personalized Semantic Retrieval and Summarization of Web Based Documents

Salah T., Khaled M., Naveed Arshad
2013 International Journal of Advanced Computer Science and Applications  
The current retrieval methods are essentially based on the string-matching approach lacking of semantic information and can't understand the user's query intent and interest very well.  ...  Text summarization in a proposed system is based on extracting the most relevant sentences from the original document to form a summary using WordNet.  ...  This experiment emphasizes that using UM to realize the personalization aims at improving documents retrieving results by re-ranking the retrieved results based on user interests. VI.  ... 
doi:10.14569/ijacsa.2013.040128 fatcat:7x7755lp45ddbf4onqdldlngfu

A unified relevance model for opinion retrieval

Xuanjing Huang, W. Bruce Croft
2009 Proceeding of the 18th ACM conference on Information and knowledge management - CIKM '09  
In this paper, we develop a general formal framework-the opinion relevance model-to represent an information need for opinion retrieval.  ...  Representing the information need is the greatest challenge for opinion retrieval.  ...  ACKNOWLEDGMENTS This work was supported in part by the Center for Intelligent Information Retrieval, in part by the National Natural Science Foundation of China (Grant NO. 60673038), in part by the Ph.D  ... 
doi:10.1145/1645953.1646075 dblp:conf/cikm/HuangC09 fatcat:nghvmcxz6fehpe6ypnubcaphl4

A Multi-media Approach to Cross-lingual Entity Knowledge Transfer

Di Lu, Xiaoman Pan, Nima Pourdamghani, Shih-Fu Chang, Heng Ji, Kevin Knight
2016 Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)  
We propose a novel approach to discover comparable documents in high-resource languages (HLs), and project Entity Discovery and Linking results from HLs documents back to LLs.  ...  We also propose novel methods to learn entity priors from a large-scale HL corpus and knowledge base.  ...  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/p16-1006 dblp:conf/acl/LuPPCJK16 fatcat:te3lsl65ifhgbbwi6b6q54aaka

An evaluation framework for cross-lingual link discovery

Ling-Xiang Tang, Shlomo Geva, Andrew Trotman, Yue Xu, Kelly Y. Itakura
2014 Information Processing & Management  
Cross-Lingual Link Discovery (CLLD) is a new problem in Information Retrieval. The aim is to automatically identify meaningful and relevant hypertext links between documents in different languages.  ...  Herein we define cross language link discovery (CLLD) as recommending and ranking a set of meaningful anchors to place in a source document that point to topically related content in documents in a second  ...  One of our initial motivations was that of expanding the Wikipedia's coverage in languages that were underrepresented in topical coverage.  ... 
doi:10.1016/j.ipm.2013.07.003 fatcat:27tuyqp4brfjbpfdavjxuzr54q

Phrasal Paraphrase Based Question Reformulation for Archived Question Retrieval

Yu Zhang, Wei-Nan Zhang, Ke Lu, Rongrong Ji, Fanglin Wang, Ting Liu, Derek Abbott
2013 PLoS ONE  
Next, it automatically extracts the paraphrases for each identified key-phrase utilizing multiple online translation engines, and then selects the most relevant reformulations from a large group of question  ...  To address the problem, this paper presents a question reformulation scheme to enhance the question retrieval model by fully exploring the intelligence of paraphrase in phrase-level.  ...  In addition, there are many research efforts focused on key term selection, ranking and weighting in document and other scenes, such as [25, 35, 36] .  ... 
doi:10.1371/journal.pone.0064601 pmid:23805178 pmcid:PMC3689745 fatcat:pizgzfnshfawzhahnvum7hwny4

Teaching key topics in computer science and information systems through a web search engine project

Michael Chau, Zan Huang, Hsinchun Chen
2003 Journal on Educational Resources in Computing  
In this paper we review the tools and resources available to students and report our experiences in having students to work on this project in a course at the University of Arizona.  ...  __________________________________________________________________________________________ Advances in computer and Internet technologies have made it more and more important for information technology  ...  This information includes the id of the document in which a term appears and the term frequency.  ... 
doi:10.1145/1029994.1029996 fatcat:7cm7s7zom5bx5fd6d2np7u7ywi

Enriching Web taxonomies through subject categorization of query terms from search engine logs

Shui-Lung Chuang, Lee-Feng Chien
2003 Decision Support Systems  
One primary step in taxonomy construction is to acquire the domainspecific terminology terms and the mapping between the subjects and these terms.  ...  The obtained experimental results show our technique's effectiveness in reducing the workload of human indexers in constructing Web taxonomies and also show its usefulness in various Web information retrieval  ...  This approach is very similar to classifying a document based on the composed key terms in a conventional document classification process, or to tagging the part of speech for a word with its co-occurring  ... 
doi:10.1016/s0167-9236(02)00099-4 fatcat:h22nsponjjf73hj5nswstc5ree

Document Similarity Search Based on Manifold-Ranking of TextTiles [chapter]

Xiaojun Wan, Jianwu Yang, Jianguo Xiao
2006 Lecture Notes in Computer Science  
In this paper, we proposed a novel retrieval approach based on manifold-ranking of TextTiles to re-rank the initially retrieved documents.  ...  Most existing approaches to document similarity search compute similarity scores between the query and the documents based on a retrieval function (e.g.  ...  The proposed approach re-ranks a small number of initially retrieved documents based on manifold-ranking of TextTiles.  ... 
doi:10.1007/11880592_2 fatcat:o2xpyycvkja33jni6hdni4al34

Which Doctor to Trust: A Recommender System for Identifying the Right Doctors

Li Guo, Bo Jin, Cuili Yao, Haoyu Yang, Degen Huang, Fei Wang
2016 Journal of Medical Internet Research  
Patients can obtain authority ranking lists of doctors with this system on any given disease. (J Med Internet Res 2016;18(7):e186)  ...  Key opinion leaders (KOLs) are people who can influence public opinion on a certain subject matter.  ...  System Overview Acquirement Stage This stage focuses on acquiring health care information from the Internet automatically.  ... 
doi:10.2196/jmir.6015 pmid:27390219 pmcid:PMC4956912 fatcat:s7vchmajbrcrzo2a5hxrabyvsm

Automatic patent document summarization for collaborative knowledge systems and services

Amy J.C. Trappey, Charles V. Trappey, Chun-Yi Wu
2009 Journal of Systems Science and Systems Engineering  
Thus, it is beneficial to automatically and systematically extract information from patent documents in order to improve knowledge sharing and collaboration among R&D team members.  ...  Then, the proposed methodology extracts, clusters, and integrates the content of a patent to derive a summary and a cluster tree diagram of key terms.  ...  The system acquires key words and phrases from both the ontology based and TF-IDF based methods and removes key words or phrases in common as shown in Table 3 .  ... 
doi:10.1007/s11518-009-5100-7 fatcat:q7ij663kcnh6fp2iq5tcod2fvy

Latent entity space: a novel retrieval approach for entity-bearing queries

Xitong Liu, Hui Fang
2015 Information retrieval (Boston)  
Since an entity is expected to capture the semantic content of documents and queries more accurately than a term, it would be interesting to study whether leveraging the information about entities can  ...  Analysis on Web search query logs has revealed that there is a large portion of entity-bearing queries, reflecting the increasing demand of users on retrieving relevant information about entities such  ...  Acknowledgments This material is based upon work supported by the National Science Foundation under Grant Number IIS-1423002. We thank the anonymous reviewers for their useful comments.  ... 
doi:10.1007/s10791-015-9267-x fatcat:tl2bmqxsprb7td3xfit7ffhzya

A Study on Ontology Based Abstractive Summarization

M. Jishma Mohan, C. Sunitha, Amal Ganesh, A. Jaya
2016 Procedia Computer Science  
With widespread use of Internet and the emergence of information aggregation on a large scale, a quality text summarization is essential to effectively condense the information.  ...  Automatic summarization systems condense the documents by extracting the most relevant facts. Summarization is commonly classified into two types, extractive and abstractive.  ...  Next, the document preprocessing phase produces the meaningful terms from the news corpus and the Chinese news dictionary.  ... 
doi:10.1016/j.procs.2016.05.122 fatcat:e4d6t3x5bbalbjyhv77vbojtoq

The Use of Ontology in Retrieval: A Study on Textual, Multilingual and Multimedia Retrieval

Muhammad Nabeel Asim, Muhammad Wasim, Muhammad Usman Ghani Khan, Nasir Mahmood, Waqar Mahmood
2019 IEEE Access  
Ontological information retrieval systems retrieve data based on the similarity of semantics between the user query and the indexed data.  ...  INDEX TERMS Ontology, text retrieval, multimedia retrieval, cross lingual retrieval.  ...  Then the acquired SPO information was used generate the SPARQL query automatically which was deployed in ontology based image retrieval approach A technique based on HCI (Human Computer Interaction) was  ... 
doi:10.1109/access.2019.2897849 fatcat:ei2zxyxdjndbvgzzue2indwqy4
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