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Sparse hidden-dynamics conditional random fields for user intent understanding

Yelong Shen, Jun Yan, Shuicheng Yan, Lei Ji, Ning Liu, Zheng Chen
<span title="">2011</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s4hirppq3jalbopssw22crbwwa" style="color: black;">Proceedings of the 20th international conference on World wide web - WWW &#39;11</a> </i> &nbsp;
In this paper, we propose a novel Sparse Hidden-Dynamic Conditional Random Fields (SHDCRF) model for user intent learning from their search sessions.  ...  those classical solutions such as Support Vector Machine (SVM), Conditional Random Field (CRF) and Latnet-Dynamic Conditional Random Field (LDCRF).  ...  CONCLUSION In this paper, we present a novel Sparse Hidden-Dynamic Conditional Random Fields model for user intent understanding from user search logs.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1963405.1963411">doi:10.1145/1963405.1963411</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/www/ShenYYJLC11.html">dblp:conf/www/ShenYYJLC11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/uhxpxl72ifh4hfllhmpy6ecdpu">fatcat:uhxpxl72ifh4hfllhmpy6ecdpu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809024935/http://www.ra.ethz.ch/cdstore/www2011/proceedings/p7.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/85/bf85403053e5e2c23276493234c6b7bff45af30a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1963405.1963411"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Review of Intent Detection Methods in the Human-Machine Dialogue System

Jiao Liu, Yanling Li, Min Lin
<span title="">2019</span> <i title="IOP Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wxgp7pobnrfetfizidmpebi4qy" style="color: black;">Journal of Physics, Conference Series</a> </i> &nbsp;
Spoken language understanding is an important part of the human-machine dialogue system, intent detection is a sub-task of spoken language understanding, and it is very important.  ...  Considering the difficulty of intent detection in human-machine dialogue system, the traditional machine learning method cannot understand the deep semantic information of user's discourse.  ...  [35] (2017) conducted a joint model of intent detection and semantic slot filling through triangular chain conditional random fields.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1088/1742-6596/1267/1/012059">doi:10.1088/1742-6596/1267/1/012059</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bgbnmku5gnafbimg2i3aanuma4">fatcat:bgbnmku5gnafbimg2i3aanuma4</a> </span>
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Research on Spoken Language Understanding Based on Deep Learning

Hui Yanli, Bai Yuan Ding
<span title="2021-10-27">2021</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fw4azkpu65d2thmrwfkoawyxse" style="color: black;">Scientific Programming</a> </i> &nbsp;
An intention recognition algorithm is designed for the classification results. Each datum has a corresponding intention label to complete the task of semantic slot filling.  ...  Aiming at solving the problem that the recognition effect of rare slot values in spoken language is poor, which affects the accuracy of oral understanding task, a spoken language understanding method is  ...  In the field of natural language understanding, linear chain conditional random fields are often used to solve the problem of sequence annotation [20] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/8900304">doi:10.1155/2021/8900304</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/phma3eu7kzeuzpiwwb2xyyqsbu">fatcat:phma3eu7kzeuzpiwwb2xyyqsbu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220201204409/https://downloads.hindawi.com/journals/sp/2021/8900304.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/6f/c4/6fc49890da0a3b8901fd3d35567af98af4c3a2bf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/8900304"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

Mise-Unseen

Sebastian Marwecki, Andrew D. Wilson, Eyal Ofek, Mar Gonzalez Franco, Christian Holz
<span title="">2019</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/w3p3hxsu4bckbpebzlol6wmmq4" style="color: black;">Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology - UIST &#39;19</a> </i> &nbsp;
) to reduce motion sickness during virtual locomotion, and (vii) to verify user understanding during story progression.  ...  Mise-Unseen leverages gaze tracking to create models of user attention, intention, and spatial memory to determine if and when to inject a change.  ...  We either use random triggers, or, more interestingly, derive verification of user understanding and user intention through eye-tracking.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3332165.3347919">doi:10.1145/3332165.3347919</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/uist/MarweckiWOG019.html">dblp:conf/uist/MarweckiWOG019</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pwempjb265a77kzudugwuufjvy">fatcat:pwempjb265a77kzudugwuufjvy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200322065009/https://www.microsoft.com/en-us/research/uploads/prod/2019/10/uist19a-MiseUnseen-cam.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/23/de/23de07437e180866e867cc8c2d95d4757c808d0e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3332165.3347919"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Discrepancy Modeling Framework: Learning missing physics, modeling systematic residuals, and disambiguating between deterministic and random effects [article]

Megan R. Ebers, Katherine M. Steele, J. Nathan Kutz
<span title="2022-03-10">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The choice of method depends on one's intent for discrepancy modeling, as well as quantity and quality of the sensor measurements.  ...  Specifically, we use four fundamentally different methods to demonstrate the mathematical implementations of discrepancy modeling: (i) the sparse identification of nonlinear dynamics (SINDy), (ii) dynamic  ...  JNK acknowledges funding from the National Science Foundation AI Institute in Dynamic Systems grant number 2112085.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2203.05164v1">arXiv:2203.05164v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7cj6p4txszhllez6slfczfbrie">fatcat:7cj6p4txszhllez6slfczfbrie</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220312215202/https://arxiv.org/pdf/2203.05164v1.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/11/0f/110f71666a2ae542607e7e94ee23142221139e44.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2203.05164v1" 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>

iShadow

Addison Mayberry, Pan Hu, Benjamin Marlin, Christopher Salthouse, Deepak Ganesan
<span title="">2014</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/njcatvvpwrbnzgx73xjukq6ene" style="color: black;">Proceedings of the 12th annual international conference on Mobile systems, applications, and services - MobiSys &#39;14</a> </i> &nbsp;
While eye tracking is commonly used in clinical trials and user studies, it has not bridged the gap to everyday consumer use.  ...  We instantiate this idea in a prototype hardware platform equipped with a low-power image sensor that provides random access to pixel values, a low-power ARM Cortex M3 microcontroller, and a bluetooth  ...  We would also like to thank Jeremy Gummeson, for much needed help with the hardware prototype, and Geoffrey Barrows of Centeye, Inc., for a great deal of crucial support and advice for the Stonyman cameras  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2594368.2594388">doi:10.1145/2594368.2594388</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26539565">pmid:26539565</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4629875/">pmcid:PMC4629875</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/mobisys/MayberryHMSG14.html">dblp:conf/mobisys/MayberryHMSG14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pfh2r5kt55b4rgwtnwxelq2g7q">fatcat:pfh2r5kt55b4rgwtnwxelq2g7q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150830061435/http://people.cs.umass.edu:80/~amayberr/docs/mobisys14.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/f0/77/f07703737f9a7053790307bc16bef15efd34f009.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2594368.2594388"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4629875" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Sequential intention estimation of a mobility aid user for intelligent navigational assistance

Takamitsu Matsubara, Jaime Valls Miro, Daisuke Tanaka, James Poon, Kenji Sugimoto
<span title="">2015</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/f576vta6inh3nchhvhkef7gxjq" style="color: black;">2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)</a> </i> &nbsp;
Moreover, exploiting the analytical tractability of the predictive distribution allows a sequential Bayesian process for user intention estimation to take place.  ...  To this end, a user action model using Gaussian Process Regression (GPR) is proposed to encapsulate the probabilistic and nonlinear relationships among user action, state of the environment and user intention  ...  Activity recognition scenarios such as Partially Observable Markov Decision Processes [3] , technique based on Hidden Markov Models and Conditional Random Fields [4] or Dynamic Bayesian Networks (Hierarchical  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/roman.2015.7333580">doi:10.1109/roman.2015.7333580</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ro-man/MatsubaraMTPS15.html">dblp:conf/ro-man/MatsubaraMTPS15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/a7f3czrpnnbkdntkcg5af5ryeu">fatcat:a7f3czrpnnbkdntkcg5af5ryeu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180719092109/https://opus.lib.uts.edu.au/bitstream/10453/73116/3/roman15_final_submission.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/1e/9a/1e9a81ae697c76877316435dd51169262c28e057.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/roman.2015.7333580"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Easy contextual intent prediction and slot detection

A. Bhargava, A. Celikyilmaz, D. Hakkani-Tur, R. Sarikaya
<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;
Spoken language understanding (SLU) is one of the main tasks of a dialog system, aiming to identify semantic components in user utterances.  ...  In contrast, for intent prediction we find that a similar approach that incorporates the intent of the previous utterance as a feature yields relative error rate reductions of 6.7% on transcribed data  ...  Using conditional random fields for slot detection, we find that incorporating features based on the appearance of slots in previous utterances yields no significant benefit.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icassp.2013.6639291">doi:10.1109/icassp.2013.6639291</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icassp/BhargavaCHS13.html">dblp:conf/icassp/BhargavaCHS13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wdmumi67pjc7lby6fgvvfydixq">fatcat:wdmumi67pjc7lby6fgvvfydixq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180713141031/http://www.cs.toronto.edu:80/~aditya/publications/contextual.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/cd/2f/cd2f0c6aac6cdf98f96984ac37d106afc599d99d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icassp.2013.6639291"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Latent-Dynamic Conditional Random Fields for recognizing activities in smart homes

Yu Tong, Rong Chen
<span title="">2014</span> <i title="IOS Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vhy24edqwzhtva62l2zkr4mfiu" style="color: black;">Journal of Ambient Intelligence and Smart Environments</a> </i> &nbsp;
The results demonstrate that Latent-Dynamic Conditional Random Fields favorably outperform other models, especially when there are extrinsic dynamic activities changes and intrinsic actions (subactivities  ...  In this paper, we present an application of probabilistic graphical model -Latent-Dynamic Conditional Random Field -to detect the goals of the individual subjects when observations have long range dependencies  ...  Acknowledgements This work is supported by the National Natural Science Foundation of China (No. 61175056), the Fundamental Research Funds for the Central Universities (No. 3132013335), and IT Industry  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3233/ais-130240">doi:10.3233/ais-130240</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/o4zuq6rai5hgdmqjbwmfay3lnu">fatcat:o4zuq6rai5hgdmqjbwmfay3lnu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171026004010/https://content.iospress.com/download/journal-of-ambient-intelligence-and-smart-environments/ais240?id=journal-of-ambient-intelligence-and-smart-environments%2Fais240" 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/5d/a7/5da7117953acc414a55fc5f7b2ab3f89f371618b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3233/ais-130240"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Active Intent Disambiguation for Shared Control Robots

Deepak E. Gopinath, Brenna D. Argall
<span title="2020-04-14">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kujklva47vealdwew7xiv34ble" style="color: black;">IEEE transactions on neural systems and rehabilitation engineering</a> </i> &nbsp;
As our last contribution, we introduce a novel field-theoretic approach to intent inference inspired by dynamic field theory that works in tandem with the disambiguation scheme.  ...  Second, we develop a control mode selection algorithm which selects the control mode in which the user-initiated motion helps the autonomy to maximally disambiguate user intent.  ...  These activation fields (also known as dynamic neural fields) are analogous to probability distributions defined over a random variable.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tnsre.2020.2987878">doi:10.1109/tnsre.2020.2987878</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32305928">pmid:32305928</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cmgkbnor5rdnhlo6fhkmhuncki">fatcat:cmgkbnor5rdnhlo6fhkmhuncki</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200509012151/https://arxiv.org/pdf/2005.03652v1.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> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tnsre.2020.2987878"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Structured Knowledge Discovery from Massive Text Corpus [article]

Chenwei Zhang
<span title="2019-07-23">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In particular, four problems are studied in this dissertation: Structured Intent Detection for Natural Language Understanding, Structure-aware Natural Language Modeling, Generative Structured Knowledge  ...  A large volume of natural language texts is being generated by users in various forms, such as search queries, documents, and social media posts.  ...  A Conditional Random Field module ensures the best slot tag sequence of the utterance from all possible tag sequences.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1908.01837v1">arXiv:1908.01837v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/j46srlxblfd35cd4z6jkl43iiu">fatcat:j46srlxblfd35cd4z6jkl43iiu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200828065948/https://arxiv.org/pdf/1908.01837v1.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/79/cb/79cb2ed1486d0f109869f0a9fbe71a241dbebde1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1908.01837v1" 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>

A survey of joint intent detection and slot-filling models in natural language understanding [article]

H. Weld, X. Huang, S. Long, J. Poon, S. C. Han
<span title="2021-02-22">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Intent classification and slot filling are two critical tasks for natural language understanding. Traditionally the two tasks have been deemed to proceed independently.  ...  This article is a compilation of past work in natural language understanding, especially joint intent classification and slot filling.  ...  [Dai et al. 2018] proposed an elastic conditional random field (eCRF) which can utilise semantic meaning in slot embedding for open-ontology slot filling.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2101.08091v3">arXiv:2101.08091v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ai6w2imilrfupf4m5fm2rjtzxi">fatcat:ai6w2imilrfupf4m5fm2rjtzxi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210224215750/https://arxiv.org/pdf/2101.08091v3.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/1f/22/1f221b19faee160adc6fe68ebbade85d1513bce2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2101.08091v3" 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>

Triangular-Chain Conditional Random Fields

Minwoo Jeong, Gary Geunbae Lee
<span title="">2008</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zcz4ey2iwffxtgaodtf5jtebmy" style="color: black;">IEEE Transactions on Audio, Speech, and Language Processing</a> </i> &nbsp;
Index Terms-Probabilistic sequence modeling, conditional random fields, triangular-chain structure, spoken language understanding  ...  This paper presents triangular-chain conditional random fields (CRFs), a unified probabilistic model combining two related problems.  ...  ACKNOWLEDGMENTS We thank the anonymous reviewers for helpful comments.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tasl.2008.925143">doi:10.1109/tasl.2008.925143</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4hvv52ryifd5ng4bltwybqysya">fatcat:4hvv52ryifd5ng4bltwybqysya</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20111226103452/http://minwoojeong.com:80/paper/ieee_taslp2008.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/f6/daf6649eb3e0f34da9a221181d7d0ecd12c944cd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tasl.2008.925143"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

The Impact of Semi-Supervised Learning on the Performance of Intelligent Chatbot System

Sudan Prasad Uprety, Seung Ryul Jeong
<span title="">2022</span> <i title="Computers, Materials and Continua (Tech Science Press)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/amujz7fcqna6do727z6ev3ueo4" style="color: black;">Computers Materials &amp; Continua</a> </i> &nbsp;
Such intelligent systems, also called natural language understanding systems analyze user requests in sequential order: domain classification, intent, and entity recognition based on the semantic rules  ...  The key parts for such intelligent chatbot systems are domain classification, intent detection, and named entity recognition.  ...  After that, supervised learning based on SVM, decision trees, hidden Markov chain, conditional random fields, and dynamic vector representations [35] have been used to extract entities from text.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32604/cmc.2022.023127">doi:10.32604/cmc.2022.023127</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mohe2hpgpzdmjdxwz32wiu4vtm">fatcat:mohe2hpgpzdmjdxwz32wiu4vtm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220225175505/https://www.techscience.com/ueditor/files/cmc/TSP_CMC-71-2/TSP_CMC_23127/TSP_CMC_23127.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/6a/25/6a25291f093231adbc7f9c5e75bb9bbfa4005983.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32604/cmc.2022.023127"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Sports and Health Management Using Big Data Based on Voice Feature Processing and Internet of Things

Lina Sun, Mingzhi Li
<span title="">2021</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fw4azkpu65d2thmrwfkoawyxse" style="color: black;">Scientific Programming</a> </i> &nbsp;
feature processing and IoT model of big data's sports and health management, a vector addition regression was developed to compare the two real scoring features of the processing results that pave the way for  ...  A multilevel conditional random field is applied to language recognition.  ...  In terms of the language model, recursive big data sports health management, conditional random field, and other new modeling languages are used [19] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/3271863">doi:10.1155/2021/3271863</a> <a target="_blank" rel="external noopener" href="https://doaj.org/article/1138b5502dc843b3b7b170969bd0f2c0">doaj:1138b5502dc843b3b7b170969bd0f2c0</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2rvjo4rrcfdn7avup4xhvii3gi">fatcat:2rvjo4rrcfdn7avup4xhvii3gi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211029160824/https://downloads.hindawi.com/journals/sp/2021/3271863.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/81/12/8112f958633d7374b0ca36482d3728d680151bf2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/3271863"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>
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