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Modeling Query Events in Spoken Natural Language for Human-Database Interaction [chapter]

Omar U., SeungJin Lim
<span title="2008-10-01">2008</span> <i title="InTech"> Human Computer Interaction: New Developments </i> &nbsp;
Our approach to the translation of query phrases from a spoken natural language to SQL is mainly to detect query events (which are discussed later) by three processing components, lexical, syntactic and  ...  This goal is achieved by recognizing a query event, whose structural complexity is moderate, presented in a spoken natural language phrase, and then translating it to an SQL query.  ...  Modeling Query Events in Spoken Natural Language for Human-Database Interaction, Human Computer Interaction: New Developments, Kikuo Asai (Ed.), ISBN: 978-953-7619-14-5, InTech, Available from: http://  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/5873">doi:10.5772/5873</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tzatbl6jprhghgypxndwrwbjoe">fatcat:tzatbl6jprhghgypxndwrwbjoe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170921230417/http://cdn.intechweb.org/pdfs/5544.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bf/6d/bf6d12035bff94940e4b026ea93ec4d06d1218e7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/5873"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Translating natural language utterances to search queries for SLU domain detection using query click logs

Dilek Hakkani-Tur, Gokhan Tur, Rukmini Iyer, Larry Heck
<span title="">2012</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rc5jnc4ldvhs3dswicq5wk3vsq" style="color: black;">2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</a> </i> &nbsp;
In this paper, we propose a machine translation approach to learn a mapping from natural language utterances to search queries.  ...  However, the form of natural language utterances occurring in spoken interactions with a computer differs stylistically from that of keyword search queries.  ...  Since the form of the natural language (NL) utterances differs from the shorter keyword search queries, to be able to match natural language utterances with search queries, we transformed the original  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icassp.2012.6289031">doi:10.1109/icassp.2012.6289031</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icassp/Hakkani-TurTIH12.html">dblp:conf/icassp/Hakkani-TurTIH12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ywusqzl4kzcpnddq3cd3cnrcyq">fatcat:ywusqzl4kzcpnddq3cd3cnrcyq</a> </span>
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The use of belief networks for mixed-initiative dialog modeling

H.M. Meng, C. Wai, R. Pieraccini
<span title="">2003</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sl3uzss5sfel7cb2u25ekkx4fy" style="color: black;">IEEE Transactions on Speech and Audio Processing</a> </i> &nbsp;
The BN-based framework was previously used for natural language understanding, where BNs infer the informational goal of the user's query based on its parsed semantic concepts.  ...  We extended this framework with the technique of backward inference that can automatically detect missing or spurious concepts based on the inferred goal.  ...  The BN was previously used in natural language understanding to infer the informational goal(s) of the user's query based on the semantic concepts in the query.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tsa.2003.814380">doi:10.1109/tsa.2003.814380</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lz6w2kayubel5epyp62vjx4kq4">fatcat:lz6w2kayubel5epyp62vjx4kq4</a> </span>
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Employing web search query click logs for multi-domain spoken language understanding

Dilek Hakkani-Tur, Gokhan Tur, Larry Heck, Asli Celikyilmaz, Ashley Fidler, Dustin Hillard, Rukmini Iyer, Sarangarajan Parthasarathy
<span title="">2011</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nhsxk6diafcb5cix6v2tg7kcdu" style="color: black;">2011 IEEE Workshop on Automatic Speech Recognition &amp; Understanding</a> </i> &nbsp;
Since the form of natural language utterances differs stylistically from that of keyword search queries, to be able to match natural language utterances with related search queries, we perform a syntax-based  ...  Logs of user queries from a search engine (such as Bing or Google) together with the links clicked provide valuable implicit feedback to improve statistical spoken language understanding (SLU) models.  ...  Since the form of the natural language utterances differs from the shorter keyword search queries, to be able to match natural language utterances with search queries, we transform the original utterances  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/asru.2011.6163968">doi:10.1109/asru.2011.6163968</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/asru/Hakkani-TurTHCFHIP11.html">dblp:conf/asru/Hakkani-TurTHCFHIP11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7z35sldwxjeodlvhi6x5ybtnz4">fatcat:7z35sldwxjeodlvhi6x5ybtnz4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922234857/http://dustin.rigghillard.com/files/2012/04/tur-asru11.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/62/16/6216b517f9bc0d3a46355e01b0cf5fa98d61ce8c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/asru.2011.6163968"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

VQD: Visual Query Detection in Natural Scenes [article]

Manoj Acharya, Karan Jariwala, Christopher Kanan
<span title="2019-04-11">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We propose Visual Query Detection (VQD), a new visual grounding task. In VQD, a system is guided by natural language to localize a variable number of objects in an image.  ...  Acknowledgments This work was supported in part by a gift from Adobe Research. The lab thanks NVIDIA for the donation of a GPU.  ...  Example query-detection pairs from the VQD dataset.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1904.02794v2">arXiv:1904.02794v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zmmf7ludcbfurb65b6hyno426e">fatcat:zmmf7ludcbfurb65b6hyno426e</a> </span>
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Natural language understanding for partial queries

Xiaohu Liu, Asli Celikyilmaz, Ruhi Sarikaya
<span title="">2015</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nhsxk6diafcb5cix6v2tg7kcdu" style="color: black;">2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)</a> </i> &nbsp;
In this study, we consider the problem of domain detection for typed partial natural language queries.  ...  Typical natural language understanding systems are built based on the assumption that they have access to the fully formed complete queries.  ...  Specifically, we address the language understanding problem for partial natural language queries to infer the user's goal.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/asru.2015.7404822">doi:10.1109/asru.2015.7404822</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/asru/LiuCS15.html">dblp:conf/asru/LiuCS15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6jqkt6minzazflh7gk5xwudqra">fatcat:6jqkt6minzazflh7gk5xwudqra</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200322060523/https://www.microsoft.com/en-us/research/wp-content/uploads/2015/12/ASRU2015V12.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1b/82/1b823e5830ba0941d24fe0111c149051b7b0c4aa.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/asru.2015.7404822"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Using a knowledge graph and query click logs for unsupervised learning of relation detection

Dilek Hakkani-Tur, Larry Heck, Gokhan Tur
<span title="">2013</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rc5jnc4ldvhs3dswicq5wk3vsq" style="color: black;">2013 IEEE International Conference on Acoustics, Speech and Signal Processing</a> </i> &nbsp;
The detected relations are used to mine natural language queries against a back-end knowledge base.  ...  Furthermore, we explot the URLs returned for these pairs by the search engine to mine additional examples from the search engine query click logs.  ...  The invoked relations can then be used to create requests in query languages (for example, in SPARQL 3 Query Language for RDF) to the knowledge graph, to create logical forms for natural language utterances  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icassp.2013.6639289">doi:10.1109/icassp.2013.6639289</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icassp/Hakkani-TurHT13.html">dblp:conf/icassp/Hakkani-TurHT13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vfrglwgmfna7rbpbug25blq47a">fatcat:vfrglwgmfna7rbpbug25blq47a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200322094458/https://www.microsoft.com/en-us/research/wp-content/uploads/2013/05/ICASSP13-KG.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/24/cd/24cd523f9e92fbb2c91e2602ee14d335fa7bceca.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icassp.2013.6639289"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

4.-8. März 2019

Nadine Steinmetz, Ann-Katrin Arning, Kai-Uwe Sattler
<span title="">2019</span> <i title="Gesellschaft für Informatik, Bonn"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5aywlmr4zjgshho3wjwhlq42ve" style="color: black;">Datenbanksysteme für Business, Technologie und Web</a> </i> &nbsp;
But understanding natural language, transferring it to a formal query and finding the correct answer is a complex task.  ...  This goal can be achieved by an approach that is independent from the knowledge base. Thereby, the respective data can be replaced or updated without changes on the system itself.  ...  in natural languages.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18420/btw2019-46">doi:10.18420/btw2019-46</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/btw/SteinmetzAS19a.html">dblp:conf/btw/SteinmetzAS19a</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/f5h45ajuifarzmog2w7t3zfzh4">fatcat:f5h45ajuifarzmog2w7t3zfzh4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220120145923/https://dl.gi.de/bitstream/handle/20.500.12116/21733/E16-1.pdf;jsessionid=41863B66667BF6B3D3F2570057D525B8?sequence=1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4b/db/4bdb98a7d993003b7d3a62d99844c3b5bd3b748d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18420/btw2019-46"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Semantic Answer Type and Relation Prediction Task (SMART 2021) [article]

Nandana Mihindukulasooriya, Mohnish Dubey, Alfio Gliozzo, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Ricardo Usbeck, Gaetano Rossiello, Uttam Kumar
<span title="2022-01-10">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Similarly, the second task is to identify relations in the natural language query and link them to the relations in a target ontology.  ...  More concretely, given a question in natural language, the first task is, to predict the answer type using a target ontology (e.g., DBpedia or Wikidata.  ...  In KGQA, given a natural language query, the final goal is to formulate a logical query that can generate the answer to the questions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.07606v2">arXiv:2112.07606v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ms7ejvanlfhqzntlj2cmpfjo74">fatcat:ms7ejvanlfhqzntlj2cmpfjo74</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211216234622/https://arxiv.org/pdf/2112.07606v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/17/02/170209cab0db324014ebc316ba596c414f508e98.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.07606v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Analytical Review on Textual Queries Semantic Search based Video Retrieval

Prof. Suvarna L. Kattimani, Miss. Saba Parveen Bougdadi
<span title="2014-04-30">2014</span> <i title="Tejass Publisheers"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ezm4lr6uezhi5pfgr6xkdexmgy" style="color: black;">IJARCCE</a> </i> &nbsp;
CONCLUSION Textual queries semantic search able to solve the problem of semantic using natural language queries and can able to detect objects in the video frame with high accuracy by parsing into semantic  ...  Textual queries semantic search based video retrieval is able to detect object from video frames, first the sentence is converted into parse tree than noun, verb, adverb present in that sentence is converted  ...  of natural language for visual content.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17148/ijarcce.2017.64163">doi:10.17148/ijarcce.2017.64163</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/d6hyjjzudbgg3g5dwnbjbildwq">fatcat:d6hyjjzudbgg3g5dwnbjbildwq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180602050917/https://ijarcce.com/upload/2017/april-17/IJARCCE%20163.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ff/4e/ff4e4f0c222654c4844ed50a3ec393646fad1a47.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17148/ijarcce.2017.64163"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Data Stream Query Processing [chapter]

Nick Koudas, Divesh Srivastava
<span title="">2003</span> <i title="Elsevier"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mzoohkksfjcxhp55kw6j3idhme" style="color: black;">Proceedings 2003 VLDB Conference</a> </i> &nbsp;
intrusion detection or telecom fraud detection), based on intricate relationships between the values of the underlying data streams.  ...  The objective of this tutorial is to provide a comprehensive and cohesive overview of the key research results in the area of data stream query processing, both for SQL-like and XML query languages.  ...  He holds a Ph.D. from the University of Toronto, an M.Sc. from the University of Maryland at College Park, and a B.Tech. from the University of Patras in Greece.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/b978-012722442-8/50128-2">doi:10.1016/b978-012722442-8/50128-2</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/vldb/KoudasS03.html">dblp:conf/vldb/KoudasS03</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2fc26gzoura3tff74v33eylvcy">fatcat:2fc26gzoura3tff74v33eylvcy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810170800/http://www.vldb.org/conf/2003/papers/S38P03.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d8/c1/d8c11242130cc02c9f9b7a9506c303ab05e2daea.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/b978-012722442-8/50128-2"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Automatic Detection and Semantic Formalisation of Business Rules [chapter]

Cheikh Kacfah Emani
<span title="">2014</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
These queries will serve for conformity checking on OWL-representation of buildings. Moreover, we plan to leverage these queries to detect inconsistencies in regulatory texts.  ...  We thus envisage to automate detection and extraction of business rules in regulatory texts. Next, we propose to formalise identified requirements as SPARQL queries.  ...  They rephrase goal statements in "restricted natural language statements" (RNLS ).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-07443-6_57">doi:10.1007/978-3-319-07443-6_57</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sahz3rxrf5ds5iyvfffumydu2i">fatcat:sahz3rxrf5ds5iyvfffumydu2i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200324112846/https://rd.springer.com/content/pdf/10.1007%2F978-3-319-07443-6_57.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/da/90/da90fb467fa6d0f555eb683442fe5333043f71dc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-07443-6_57"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Stream Querying and Reasoning on Social Data [chapter]

Jayanta Mondal, Amol Deshpande
<span title="">2017</span> <i title="Springer New York"> Encyclopedia of Social Network Analysis and Mining </i> &nbsp;
The queries can range from simple publish-subscribe queries, where a user is interested in being notified when something happens in his friend circle, to complex anomaly detection queries, where the goal  ...  [41] use such queries for continuous detection of accidents from incoming traffic information.  ... 
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Stream Querying and Reasoning on Social Data [chapter]

Jayanta Mondal, Amol Deshpande
<span title="">2014</span> <i title="Springer New York"> Encyclopedia of Social Network Analysis and Mining </i> &nbsp;
The queries can range from simple publish-subscribe queries, where a user is interested in being notified when something happens in his friend circle, to complex anomaly detection queries, where the goal  ...  [41] use such queries for continuous detection of accidents from incoming traffic information.  ... 
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Stream Querying and Reasoning on Social Data [chapter]

Jayanta Mondal, Amol Deshpande
<span title="">2018</span> <i title="Springer New York"> Encyclopedia of Social Network Analysis and Mining </i> &nbsp;
The queries can range from simple publish-subscribe queries, where a user is interested in being notified when something happens in his friend circle, to complex anomaly detection queries, where the goal  ...  [41] use such queries for continuous detection of accidents from incoming traffic information.  ... 
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