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A Query Understanding Framework for Earth Data Discovery

Yun Li, Yongyao Jiang, Justin C. Goldstein, Lewis J. Mcgibbney, Chaowei Yang
2020 Applied Sciences  
Name entity recognition detects entities from the query, which inform the search engine to query the entities detected.  ...  No research in the geospatial domain has investigated user queries in a systematic way.  ...  The NER model can recognize the name entities from a query for filters correction or supplement.  ... 
doi:10.3390/app10031127 fatcat:upw3hqz4kzembenzosqvyyicpi


2006 International journal on artificial intelligence tools  
A metadata search approach is proposed to provide practical solutions to the natural language database query problem; where the metadata grow in largely linear manner and the search is linguistics-free  ...  The sufficient condition is that the text input contains a set of entries corresponding to a complete, correct single SQL query.  ...  ≤ Step 3: Search for the best interpretation (query graph).  ... 
doi:10.1142/s0218213006002680 fatcat:dzd4c7gzobe2rjyuqwip6bpdd4

Entity Recognition and Linking in Chinese Search Queries [chapter]

Jinwei Yuan, Yan Yang, Zhen Jia, Hongfeng Yin, Junfu Huang, Jie Zhu
2015 Lecture Notes in Computer Science  
Aiming at the task of Entity Recognition and Linking in Chinese Search Queries in NLP&CC 2015, this paper proposes the solutions to entity recognition, entity linking and entity disambiguation.  ...  The experiment results indicate that the proposed solutions in this paper are effective for the case of short queries and insufficient contexts.  ...  For example, entity mention "步步惊心"(Startling by Each Step ) may refer to a book or a TV series.  ... 
doi:10.1007/978-3-319-25207-0_47 fatcat:2wixppflijes5dahhbveihhjqa

Experiments on Robust NL Question Interpretation and Multi-layered Document Annotation for a Cross–Language Question/Answering System [chapter]

Günter Neumann, Bogdan Sacaleanu
2005 Lecture Notes in Computer Science  
[NS03]), the focus of the system extension for this year's task was a) on robust NL question interpretation using advanced linguistic-based components, b) flexible interface strategies to IR-search engines  ...  , and c) on strategies for off-line annotation of the data collection, which support query-specific indexing and answer selection.  ...  Many thanks to Jumamurat Bayjanov and Olga Goldmann for their implementation support.  ... 
doi:10.1007/11519645_41 fatcat:4n7xcuskgngjvpajgv3lxw5wyy

The first international workshop on entity-oriented search (EOS)

Krisztian Balog, Arjen P. de Vries, Pavel Serdyukov, Ji-Rong Wen
2012 SIGIR Forum  
Acknowledgments We would like to thank ACM and SIGIR for hosting the workshop. We are grateful for the sponsorship received from Yandex to award the best workshop paper.  ...  We would also like to thank the members of the program committee for their efforts: Wo- We extend our sincere gratitude to all the authors and presenters as well as to our invited speakers for their contributions  ...  Paper Session 1 The paper by Sun and Grishman [12] entitled Cross-Domain Bootstrapping for Named Entity Recognition addresses the domain adaptation problem of named entity recognizers: systems trained  ... 
doi:10.1145/2093346.2093353 fatcat:hqr6vdt6krbd3fgakpgz4wrhd4

Ontology Based Segmentation of Geo-Referenced Queries [chapter]

Mamoun Abu Helou
2012 Lecture Notes in Computer Science  
The last generation of search engines is confronted with complex queries, whose expression goes beyond the capability of the Bag of Word model and requires the systems which understand query sentences.  ...  In this paper we propose a syntactic and semantic approach, which uses syntactic query segmentation techniques and the ontological notion of geographic concepts to produce good query interpretations; an  ...  This research is part of the Search Computing (SeCo) project, funded by the European Research Council (ERC), under the 2008 Call for "IDEAS Advanced Grants", a program dedicated to the support of frontier  ... 
doi:10.1007/978-3-642-27997-3_13 fatcat:plhqvu4kpbayjflmuibmdjfmwq

Exploiting Collective Hidden Structures in Webpage Titles for Open Domain Entity Extraction

Wei Song, Shiqi Zhao, Chao Zhang, Hua Wu, Haifeng Wang, Lizhen Liu, Hanshi Wang
2015 Proceedings of the 24th International Conference on World Wide Web - WWW '15  
We present a novel method for open domain named entity extraction by exploiting the collective hidden structures in webpage titles.  ...  The experiments show that our method can harvest large scale of open domain entities with high precision. A large ratio of the extracted entities are long-tailed and complex and cover diverse topics.  ...  Jain et al. present a method for open entity extraction from queries [21] .  ... 
doi:10.1145/2736277.2741107 dblp:conf/www/SongZZWWLW15 fatcat:sfk3f4n5ezcrxpwrecn4ad3g7y

Exposing the hidden web for chemical digital libraries

Sascha Tönnies, Benjamin Köhncke, Oliver Koepler, Wolf-Tilo Balke
2010 Proceedings of the 10th annual joint conference on Digital libraries - JCDL '10  
Also in the domain of chemistry more and more digital collections are available, but the complex query formulation still hampers their intuitive adoption.  ...  This is because information seeking in chemical documents is focused on chemical entities, for which current standard search relies on complex structures which are hard to extract from documents.  ...  In fact, the recognition of named entities is a major step in preprocessing and indexing not only chemical documents.  ... 
doi:10.1145/1816123.1816159 dblp:conf/jcdl/TonniesKKB10 fatcat:dgdy5pfgjvhuheo5nhalxepjji

A Model of Vietnamese Person Named Entity Question Answering System

Mai-Vu Tran, Duc-Trong Le, Xuan-Tu Tran, Tien-Tung Nguyen
2012 Pacific Asia Conference on Language, Information and Computation  
In this paper, we proposed a Vietnamese named entity question answering (QA) model.  ...  This model applies an analytical question method using CRF machine learning algorithm combined with two automatic answering strategies: indexed sentences database-based and Google search engine-based.  ...  Step 2: Answer extraction Candidate snippets collection which has been sent by step 1 are recognized person entity answer by using Java open source library VSW and ranked by using frequency of each entity  ... 
dblp:conf/paclic/TranLTN12 fatcat:jjzlz63p4vgl7nhn7nsuyuhzri

A New Architecture of Automatic Question Answering System using Ontology

Pawan Kumar, Raj Kumar Goel, Prem Sagar Sharma
2014 International Journal of Computer Applications  
These modules are finding the exact answer of given query by the user. In this paper, we have discussed a new model for question answering system which is find exact answer and improved their module.  ...  If it doesn't work properly, it causes problem for the whole system. A further answer processing module is a spring up the topic in Question Answering.  ...  That token will be use for the name entity recognization.  ... 
doi:10.5120/17120-7671 fatcat:je6s6cshhbfdjo5nnjq7t77qru

A Hierarchical Deep Learning Natural Language Parser for Fashion [article]

José Marcelino, João Faria, Luís Baía, Ricardo Gamelas Sousa
2018 arXiv   pre-print
Our proposal intends not only to recognize fashion-domain entities but also to expose syntactic and morphologic insights.  ...  We leverage the usage of an architecture of specialist models, each one for a different task (from parsing to entity recognition).  ...  ACKNOWLEDGMENTS The authors would like to thank all team members of the search department from Farfetch.  ... 
arXiv:1806.09511v1 fatcat:r5k3bihpnba6blcvenjce5al2y

Collecting University Rankings for Comparison Using Web Extraction and Entity Linking Techniques [chapter]

Nick Bassiliades
2014 Communications in Computer and Information Science  
In this paper we present this first step for university ranking comparison, namely we discuss in detail how we have developed a Prolog application, called URank, that collects the data, by (a) extracting  ...  them from the various ranking list web sites using web data extraction techniques, (b) uniquely identifying the University entities within the above lists by linking them to the DBpedia linked open data  ...  So, linking the entities extracted from the different ranking datasets to DBpedia could serve two goals: (a) linking the data extracted in the first step with a very well-known and rich linked open dataset  ... 
doi:10.1007/978-3-319-13206-8_2 fatcat:liufg4v3ena6jpmbxob2rs5ot4

Use of Semantic Enhancements to NLP of Image Captions to Aid Image Retrieval

Kraisak Kesorn, Stefan Poslad
2008 2008 Third International Workshop on Semantic Media Adaptation and Personalization  
This paper proposes a semantic-based create and search technique to enhance visual information retrieval.  ...  Our approach includes an ontology-based scheme for the semi-automatic annotation for image retrieval.  ...  We deploy an established NLP framework named ESpotter 2 . ESpotter provides a function for Named Entity Recognition and generates annotated documents in the form of XML files.  ... 
doi:10.1109/smap.2008.18 dblp:conf/smap/KesornP08 fatcat:g6zig2jpxrhzjko4iivuopodam

Entity Type Recognition Using an Ensemble of Distributional Semantic Models to Enhance Query Understanding

Walid Shalaby, Khalifeh Al Jadda, Mohammed Korayem, Trey Grainger
2016 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC)  
We present an ensemble approach for categorizing search query entities in the recruitment domain.  ...  Understanding the types of entities expressed in a search query (Company, Skill, Job Title, etc.) enables more intelligent information retrieval based upon those entities compared to a traditional keyword-based  ...  METHODOLOGY In this section we detail our methodology for recognizing search query entity types. Our approach employs two distributional semantic representations of search entities.  ... 
doi:10.1109/compsac.2016.109 dblp:conf/compsac/ShalabyAKG16 fatcat:26qwomj5yrhf5fvkk5gs62v4ge

An Overview of Microsoft Academic Service (MAS) and Applications

Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, Kuansan Wang
2015 Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion  
Based on the data set, we demonstrate two scenarios in this work: a knowledge driven, highly interactive dialog that seamlessly combines reactive search and proactive suggestion experience, and a proactive  ...  In addition, the rich entity relations included in the knowledge base provide additional signals to disambiguate and enrich the entities within and beyond the academic domain.  ...  We believe our demo application, once integrated with Bing, will open new frontiers for advanced domain specific search queries.  ... 
doi:10.1145/2740908.2742839 dblp:conf/www/SinhaSSMEHW15 fatcat:b6b65jl6ffbk3c2xwh6f33na4y
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