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Learning causality for news events prediction

Kira Radinsky, Sagie Davidovich, Shaul Markovitch
<span title="">2012</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s4hirppq3jalbopssw22crbwwa" style="color: black;">Proceedings of the 21st international conference on World Wide Web - WWW &#39;12</a> </i> &nbsp;
We present a new methodology for modeling and predicting such future news events using machine learning and data mining techniques.  ...  The problem we tackle in this work is, given a present news event, to generate a plausible future event that can be caused by the given event.  ...  This type of inference and the knowledge that Japan is also a country enables the algorithm to predict the effects of new events based on patterns in the past.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2187836.2187958">doi:10.1145/2187836.2187958</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/www/RadinskyDM12.html">dblp:conf/www/RadinskyDM12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/iaqx4boqb5h7xkklb3ndf3x5gq">fatcat:iaqx4boqb5h7xkklb3ndf3x5gq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20131013074836/http://www.technion.ac.il/~kirar/files/Radinsky-Causality.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/f2/5b/f25bef3a2ce677809b5ab56be7574e5f932de154.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2187836.2187958"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Learning to Predict from Textual Data

K. Radinsky, S. Davidovich, S. Markovitch
<span title="2012-12-26">2012</span> <i title="AI Access Foundation"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4ax4efcwajcgvidb6hcg6mwx4a" style="color: black;">The Journal of Artificial Intelligence Research</a> </i> &nbsp;
Given a current news event, we tackle the problem of generating plausible predictions of future events it might cause.  ...  We present a new methodology for modeling and predicting such future news events using machine learning and data mining techniques.  ...  The model is represented by an abstraction tree, that, given an input cause event, finds its most appropriate generalization, and uses learned rules to output predicted effect events.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1613/jair.3865">doi:10.1613/jair.3865</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/woxyrlyeenaabbss6qgdpmveu4">fatcat:woxyrlyeenaabbss6qgdpmveu4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20161219235312/http://tx.technion.ac.il/~kirar/files/radinsky12a_causality_jair.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/1a/5f/1a5fce3d8746885251bd412ad137273ec771a314.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1613/jair.3865"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Event Causality Extraction from Natural Science Literature

Biswanath Barik, Erwin Marsi, Pinar Öztürk
<span title="2016-12-31">2016</span> <i title="Instituto Politecnico Nacional/Centro de Investigacion en Computacion"> Research in Computing Science </i> &nbsp;
We aim to develop a text mining framework capable of identifying and extracting causal dependencies among changing variables (or events) from scientific publications in the cross-disciplinary field of  ...  The extracted information can be used to infer new knowledge or to find out unknown hypotheses through reasoning, which forms the basis of a knowledge discovery support system.  ...  [2] develop a support vector machine (SVM) based classifier trained on SemEval 2007 Task 4 corpus [13] and report an accuracy of 77.5% in identifying cause-effect noun pairs.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.13053/rcs-117-1-8">doi:10.13053/rcs-117-1-8</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/m6w7q7himrdshjs6tsd2uqf5jy">fatcat:m6w7q7himrdshjs6tsd2uqf5jy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829155336/http://www.rcs.cic.ipn.mx/2016_117/Event%20Causality%20Extraction%20from%20Natural%20Science%20Literature.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/51/6e/516e80ecf9ef1cca5bf40dd182760ea1cd7158be.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.13053/rcs-117-1-8"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Causality Mining in Natural Languages Using Machine and Deep Learning Techniques: A Survey

Wajid Ali, Wanli Zuo, Rahman Ali, Xianglin Zuo, Gohar Rahman
<span title="2021-10-27">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
Causality (cause-effect relations) serves as an essential category of relationships, which plays a significant role in question answering, future events predication, discourse comprehension, decision making  ...  Among them, causality mining (CM) from textual data has become a significant area of concern and has more attention from researchers.  ...  Network (CausalNet) of cause-effect terms in a large web corpus. Linguistic pattern, 'A (event 1 ) causes B (event 2 )'. Predication in short text. 10TB corpus from Bing. English Over-fitting issues.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app112110064">doi:10.3390/app112110064</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/btv66da5x5a73auogv5d3lp2bi">fatcat:btv66da5x5a73auogv5d3lp2bi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211109065124/https://mdpi-res.com/d_attachment/applsci/applsci-11-10064/article_deploy/applsci-11-10064-v3.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/5f/6e/5f6e36c5489e9a67a8f7e510bf7fbd5600819012.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app112110064"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Event Search and Analytics

Dhruv Gupta
<span title="">2016</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/puezkhxc3rggrgb456avsvxi34" style="color: black;">Proceedings of the Ninth ACM International Conference on Web Search and Data Mining - WSDM &#39;16</a> </i> &nbsp;
Semantic annotations such as named entities, geographic locations, and temporal expressions can help us mine events from the given corpora.  ...  I posit to analyze natural language text with the help of semantic annotations and mine important events for navigating large text corpora.  ...  In order to predict the future Pundit is trained to select the most similar cluster from the abstraction tree and produce an event representation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2835776.2855083">doi:10.1145/2835776.2855083</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/wsdm/Gupta16.html">dblp:conf/wsdm/Gupta16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/enfrvlnza5fpda3q2j4n2elni4">fatcat:enfrvlnza5fpda3q2j4n2elni4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200928005746/https://arxiv.org/pdf/1603.00260v1.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/e0/19/e019eddb0b8ca8ddb741310a7fde18e7592bf86e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2835776.2855083"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

From Parsed Corpora to Semantically Related Verbs

Hasan Zafari, Maryam Hourali
<span title="">2019</span> <i title="Central Library of the Slovak Academy of Sciences"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rsgu6oqy7fcfdl4hs633t7yefy" style="color: black;">Computing and informatics</a> </i> &nbsp;
The aim of this paper is to automatically generate a repository of semantic relations between verb pairs using Distributional Memory (DM), a state-of-the-art framework for distributional semantics.  ...  The result of our study leads to the construction of a resource for semantic relations, which consists of pairs of verbs associated with their probable arguments and significance scores based on our measures  ...  In [12] the authors use Naive Bayes classifier to learn the probabilities of semantic relation between event pair from a raw corpus in an unsupervised manner.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.31577/cai_2019_1_240">doi:10.31577/cai_2019_1_240</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/o2echiafdzcxxn2olpn3mbevri">fatcat:o2echiafdzcxxn2olpn3mbevri</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210813040834/http://www.cai.sk/ojs/index.php/cai/article/download/2019_1_240/951" 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/26/ae/26ae3f89d7a7c25c6be07eb64adf9b907381eafc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.31577/cai_2019_1_240"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Big Data and Causality

Hossein Hassani, Xu Huang, Mansi Ghodsi
<span title="2017-08-01">2017</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/l3ypgeawxrc6xce2c3uboif52a" style="color: black;">Annals of Data Science</a> </i> &nbsp;
Cause Effect Association (CEA)-based feature, distributional similarity methods, discourse relation prediction by Ruby-based discourse extraction system [62], event causality test (ECT), Penn Discourse  ...  an overview table of Data Mining applications in causality analysis domain as a reference directory.  ...  Furthermore, the authors in [57] extracted the causal events from the cause-effect pairs identified, and built an abstract causality network with effective performances on identifying high-level causality  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s40745-017-0122-3">doi:10.1007/s40745-017-0122-3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/y5fixid4ujgsjlgrcfceq5nosu">fatcat:y5fixid4ujgsjlgrcfceq5nosu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190429080828/https://www.dora.dmu.ac.uk/bitstream/handle/2086/14495/Accepted%20Manuscript%20DM%20causality.pdf;jsessionid=A9D7FEAC41E249AF71C736306CA2A32F?sequence=4" 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/3f/b0/3fb0d3e3f4f391a9ac0c14124b78c8c973699a6c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s40745-017-0122-3"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

An Executable and Testable Semantics for iTasks [chapter]

Pieter Koopman, Rinus Plasmeijer, Peter Achten
<span title="">2011</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
The iTask system is an easy to use combinator library for specifying dynamic data dependent workflows in a very flexible way. The specified workflows are executed as a multi-user web-application.  ...  In this paper we define an executable semantics that specifies how workflows react on events generated by the workers executing them.  ...  This semantics shows that the ids play a dominant role in the rewriting of task trees. An event only has an effect on a task with the same id.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-24452-0_12">doi:10.1007/978-3-642-24452-0_12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/irgfk4bsdfdltocyn37ylhuizy">fatcat:irgfk4bsdfdltocyn37ylhuizy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160610160833/http://www.mbsd.cs.ru.nl/publications/papers/2009/koop09-IFL2008-iTaskSemantics.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/cf/b2/cfb28d78eb72ce8ffa1b68541749e9e11ac45580.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-24452-0_12"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Event Prediction in the Big Data Era: A Systematic Survey [article]

Liang Zhao
<span title="2020-08-04">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This paper aims to provide a systematic and comprehensive survey of the technologies, applications, and evaluations of event prediction in the big data era.  ...  However, it is imperative yet difficult to cross-reference the techniques across different domains, given the absence of a comprehensive literature survey for event prediction.  ...  For example, [168, 169, 190] leverage an abstraction tree, where each leaf is an original specific cause-effect pair and each intermediate node is the centroid of a cluster.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2007.09815v3">arXiv:2007.09815v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ypmjm3n3xjbcjbzdlhowdkaona">fatcat:ypmjm3n3xjbcjbzdlhowdkaona</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200811223426/https://arxiv.org/pdf/2007.09815v3.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] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2007.09815v3" 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>

Learning for Biomedical Information Extraction: Methodological Review of Recent Advances [article]

Feifan Liu, Jinying Chen, Abhyuday Jagannatha, Hong Yu
<span title="2016-06-26">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Unlike existing reviews covering a holistic view on BioIE, this review focuses on mainly recent advances in learning based approaches, by systematically summarizing them into different aspects of methodological  ...  Biomedical information extraction (BioIE) is important to many applications, including clinical decision support, integrative biology, and pharmacovigilance, and therefore it has been an active research  ...  Learning from Labeled Data Traditional learning-based systems aim to infer optimal prediction functions from labelled training data instances, which can be used for mapping new data instances to their  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1606.07993v1">arXiv:1606.07993v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7d5om7zxxzhoviiriasrfwg3xi">fatcat:7d5om7zxxzhoviiriasrfwg3xi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191024193732/https://arxiv.org/pdf/1606.07993v1.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/e8/f7/e8f7e63ef52e6c19a0933cf7d920fcc2ad60eab7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1606.07993v1" 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>

Bridging semantics and syntax with graph algorithms—state-of-the-art of extracting biomedical relations

Yuan Luo, Özlem Uzuner, Peter Szolovits
<span title="2016-02-05">2016</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/op7ztx4fhvairowgqifu7dnvsi" style="color: black;">Briefings in Bioinformatics</a> </i> &nbsp;
In particular, graph-based approaches bridge semantics and syntax, often achieving the best performance in shared tasks.  ...  However, a number of problems at the frontiers of biomedical relation extraction continue to pose interesting challenges and present opportunities for great improvement and fruitful research.  ...  Acknowledgement The work was supported in part by Grant Number U54LM008748 from the National Library of Medicine, NIH 154HG007963 from the National Human Genome Research Institute and by the Scullen Center  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/bib/bbw001">doi:10.1093/bib/bbw001</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26851224">pmid:26851224</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5221425/">pmcid:PMC5221425</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/z6sptxngubempdx6kthsyab7be">fatcat:z6sptxngubempdx6kthsyab7be</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200206041802/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC5221425&amp;blobtype=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/99/ee/99ee6c80e9e58f38e84cf13e0c610fb906bab60a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/bib/bbw001"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> oup.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5221425" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

An Overview : Temporal - Side of Sequential Patterns Discovery

Ahmed Aburodes Assaid Alkilany
<span title="2013-01-31">2013</span> <i title="Academy and Industry Research Collaboration Center (AIRCC)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/g4vvv6juibahrh75gvtebymkwq" style="color: black;">International Journal of Data Mining &amp; Knowledge Management Process</a> </i> &nbsp;
Temporal data means a data which have incorporated with the concept of time, to maintain past, present and future data.  ...  A Stream of data has may contain time, In other words it can be named as a sequence of data.  ...  The s provides a window into the temporal arrangement of events and thus an ability to suggest cause and effect or trends in rule sets.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5121/ijdkp.2013.3101">doi:10.5121/ijdkp.2013.3101</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/aft7sf6tm5gb7hxilakoi6dn2y">fatcat:aft7sf6tm5gb7hxilakoi6dn2y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180820170348/http://aircconline.com:80/ijdkp/V3N1/3113ijdkp01.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/8f/d9/8fd93bbd3a293232a14d1caadde0e357a7b7bdfa.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5121/ijdkp.2013.3101"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Semantic relations in information science

Christopher S. G. Khoo, Jin-Cheon Na
<span title="2007-09-28">2007</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q4dhy3yex5ec5ngmtdnmnohii4" style="color: black;">Annual Review of Information Science and Technology</a> </i> &nbsp;
An overview of the semantic relations used in knowledge structures such as thesauri and ontologies are provided, as well as the main techniques used in the automatic extraction of semantic relations from  ...  We shall examine the nature of semantic relations from a linguistic and psychological perspective, with an emphasis on relations expressed in text.  ...  We also gratefully acknowledge the excellent editorial work of Ms Soon-Kah Liew that has helped to make the chapter more readable and understandable.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/aris.1440400112">doi:10.1002/aris.1440400112</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/76uenbhkd5halopbxy2gt47dja">fatcat:76uenbhkd5halopbxy2gt47dja</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808032436/http://www.ntu.edu.sg/home/assgkhoo/papers/khoo_na.semantic_relations.ARIST2006.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/ef/c7/efc70023386afa8fc502a87f9b2c5e74ff2b5648.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/aris.1440400112"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> wiley.com </button> </a>

Bridging semantics and syntax with graph algorithms—state-of-the-art of extracting biomedical relations

Yuan Luo, Özlem Uzuner, Peter Szolovits
<span title="2017-05-02">2017</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/op7ztx4fhvairowgqifu7dnvsi" style="color: black;">Briefings in Bioinformatics</a> </i> &nbsp;
as a spectrum tree (SpT) [108] kernel that uses path structures from constituent parse trees; 3) dependency parse tree based kernels, including edit distance and cosine similarity kernels that are based  ...  marrow biopsy was performed on the patient in order to evaluate the effect of medication for lymphoma as the cause of prolonged neutropenia.  ...  [118] No Association distance between pair of entities in a semantic network. No Chem2Bio2RDF [119] No Bui et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/bib/bbx048">doi:10.1093/bib/bbx048</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/28472242">pmid:28472242</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6080366/">pmcid:PMC6080366</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3pu74myraffsnjttvnlgoy6kqq">fatcat:3pu74myraffsnjttvnlgoy6kqq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200508080343/https://dspace.mit.edu/bitstream/handle/1721.1/122967/Bridging_Semantics_and_Syntax_with_Graph_Algorithms16.pdf;jsessionid=8AAF8D0E02412BA6F3255546BA5BF12E?sequence=2" 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/30/b9/30b948f10f3d9fc832638c7f3d8e3ca57d8e897e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/bib/bbx048"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> oup.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6080366" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Becoming syntactic

Franklin Chang, Gary S. Dell, Kathryn Bock
<span title="">2006</span> <i title="American Psychological Association (APA)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7dgw55nuivbwlepq7ytxkik6ny" style="color: black;">Psychological review</a> </i> &nbsp;
To explore this idea, the authors applied a connectionist model of sentence production to the development and use of abstract syntax.  ...  The model makes use of (a) error-based learning to acquire and adapt sequencing mechanisms and (b) meaning-form mappings to derive syntactic representations.  ...  A message is a constellation of concepts organized by an event-semantic representation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1037/0033-295x.113.2.234">doi:10.1037/0033-295x.113.2.234</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/16637761">pmid:16637761</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ptwyb6hupfasjeruhr2c355p3m">fatcat:ptwyb6hupfasjeruhr2c355p3m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20060926133802/http://www.kecl.ntt.co.jp/clip/member/chang/papers/changdellbock.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/b2/07/b207beb590c58738ac63d4317e6a5610d7f3cb1b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1037/0033-295x.113.2.234"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>
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