Natural Language Processors 2018


Notes:

Natural Language Processor may be used as another name for dialog system.

  • Natural language processor chip
  • Natural language processor component
  • Natural language processor module
  • Natural language understander
  • SocialNLP (Natural Language Processing for Social Media)

See also:

100 Best AI & NLP Resources: PHPArtificial Intelligence Engine (AI Engine)Concept Mapping & Dialog SystemsDirected Dialog SystemsDiscourse Representation Structure 2017Grammar Compilers & Dialog SystemsHypothesis Generators & Natural LanguageIntellexerMontyLinguaTwitter4J & Natural Language 2017


Natural Language Processing as a Weapon
J Shropshire – Proceedings of the 13th Pre-ICIS Workshop on …, 2018 – albany.edu
… This facilitates programmatic impersonation of trusted individuals. A natural language processor could interpret incoming text … BACKGROUND Natural Language Processing Natural language processors are often used in conjunction with machine learning …

Artificial Intelligence Based Solarbot
W Rahane, S Patil, K Dhondkar… – … Conference on Inventive …, 2018 – ieeexplore.ieee.org
… errands. Chatbots have been witnessing an era of highest demand powered by either a set of responses and rules that are already predefined or artificial intelligence method such as Natural Language Processor. Chatbots …

Querying Database Using Natural Language Interface
B Anand, S Goyal, O Kaul, V Pandey, VL Kohle – 2018 – irjet.net
… language. The main three layers of the system are User Interface, Natural Language Processor, and the translator. Page 2 … etc. The Natural Language Processor consists of the SQL server, and the third layer consists of the database …

On-demand Multi-factor Authentication for Automated Assistant Interactions
L Wang, DR Schairer, IV Spates – 2018 – tdcommons.org
… Page 11. resources of the cloud to convert audio data captured by speech capture/TTS/STT module 110 into text (which may then be provided to natural language processor 122) … In some instances, natural language processor 122 of automated assistant 112 processes …

Relative Color Commands for Smart Lights and Color Interrogatives for Smart Lights
K Kincy – 2018 – tdcommons.org
… resources of the cloud to convert audio data captured by speech capture/TTS/STT module 110 into text (which may then be provided to natural language processor 122) … In some instances, natural language processor 122 of automated assistant 112 processes …

System of Systems for Tripwires Activation of Algorithms and Reasoning (STAAR) for Analysis of Mission Success
P Hershey, M Sica – 2018 13th Annual Conference on System …, 2018 – ieeexplore.ieee.org
… 6. Matching data are sent one or more additional algorithms such as a natural language processor or object classifier to determine if the data might be related to a delivery of new parts to the facility needed for the weapon. 7 …

Stock Prediction using ARMA
H Saxena, AV Anurag, N Chirayath, R Bendale, S Kaul – ijemr.net
… For other external factors, overall company sentiment is analyzed by using NLP- Natural Language Processor … The Natural language processor already has a precomputed sentiment of the various companies included in the application …

Virtual Environment Positioning Utilizing Play-Script Spatiotemporal Reasoning
C Talbot, GM Youngblood – IEEE Transactions on Games, 2018 – webpages.uncc.edu
… five groups: one viewing the hand-mapped version of a real production of Hamlet, the Graveyard scene (Baseline); one viewing a random movement version of the same scene (Random); one viewing our technique with only the natural language processor component (NLP …

Data-Driven Text Simplification
S Štajner, H Saggion – Proceedings of the 27th International Conference …, 2018 – aclweb.org
… Abstract Automatic text simplification is the process of transforming a complex text into an equivalent version which would be easier to read or understand by a target audience, or easier to handle by automatic natural language processors …

Project Artie: An Artificial Student for Disciplines Informed by Partial Differential Equations
AT Patera – arXiv preprint arXiv:1809.06637, 2018 – arxiv.org
… format, but for full disclosure we include in the appendix the plain-text (verbatim) input files actually processed by Artie; the latter are adorned with our partic- ular escape characters and any special allowances related to the Google Natural Language Processor or subsequent …

A Hybrid Recommendation Technique for Big Data Systems
C Nundlall, G Sohun… – … Conference on Intelligent …, 2018 – ieeexplore.ieee.org
… The data is then stored in the database. From the database, the tweets are fed to the natural language processor whereby the tweet information is extracted and filtered based on a dictionary … the natural language processor and filtered based on a dictionary is “OMG …

Idioms Modeling in a Computer Ontology as a Morphosyntactic Disambiguation Strategy
A Dobrov, A Dobrova, P Grokhovskiy… – … Workshop on Temporal …, 2018 – Springer
… This is necessary, because AIIRE natural language processor is designed to perform natural language understanding according with the compositionality principle [8], and idiomaticity is treated not merely as a property of a linguistic unit, but rather as a property of its meaning …

Weather Forecast Voice System
DT Do – Proceedings of the 30th Conference on Computational …, 2018 – aclweb.org
… Weather Voice is composed of main components that are there: 1) Telephone network communicator, 2) Vietnamese speech recognizer, 3) Natural language processor, and 4) Vietnamese speech synthesizer. To the best of our knowledge, this is one of the first systems …

Screening colonoscopy withdrawal time threshold for adequate proximal serrated polyp detection rate
VD Patel, WK Thompson, BR Lapin… – Digestive diseases and …, 2018 – Springer
… The natural language processor identified 243 findings … In addition, we were able to process reports through a validated natural language processor to take into account many of the important aspects and deviations to report writing [31] …

Chatbot in a Campus Environment: Design of LiSA, a Virtual Assistant to Help Students in Their University Life
M Dibitonto, K Leszczynska, F Tazzi… – … Conference on Human …, 2018 – Springer
… chat [1]. Chatbots are used as a channel to interact with a wide range of different “intelligence” levels, from simple answering machines to complex natural language processors and artificial intelligence algorithms. Asking something …

TA-bot: An AI agent as a Teaching Assistant
F Ho – researchgate.net
… The questions are passed across the network from Facebook Messenger to the processing tier. DialogFlow [4] from Google is used to process the questions using its built-in natural language processor (NLP). It also manages the entities and intents …

Natural Language Processing Various Applications and Developments in Indian Languages
S Sakthi Vel – technoarete.org
… as Alan Turing Test. The goal of Natural Language Processor is to formulate common software that will interface, analyze, understand, process automatically and foster languages which human can use naturally. If the above …

NWJC2Vec
M Asahara – Terminology. International Journal of Theoretical and …, 2018 – jbe-platform.com
… semantic labels. However, the Japanese dataset for pre-trained word embedding is limited. Most natural language processors construct word embedding datasets from open data sources such as Wikipedia. We published an …

Adaptive Generation of Structured Medical Report Using NER Regarding Deep Learning
CT Wu, HK Chang, JH Liu… – 2018 Conference on …, 2018 – ieeexplore.ieee.org
… al. [6] develop a natural language processor and a graphical user interface (GUI) within a system that the radiologist requires no reporting style changes in creating their input radiology free-text document, Hassanpour et al …

Natural Language Processing and GALEN
JW Rassinoux – nomos-elibrary.de
… applications. (Authors) 1. Introduction The goal of our group at Hospital of Geneva is to build a Natural Language Processor within a medical software environment, and to provide NLP functionalities, embed ded into this architecture. A …

Regional Language Driven Presentation tool
S Puranik, DM Thakore – bvucoepune.edu.in
… Sanskrit is said to be a Mother of all languages. It deals with multiple limitations of Artificial Intelligence like NLP, Semantic Net, Vibhakti, Dual Case, Inflection based Syntax etc. Sanskrit language fulfils almost all of the prerequisites of a Natural Language Processor [5] …

A Review of Evidence Extraction Techniques in Big Data Environment
SH Mokhtar, G Muruti, ZA Ibrahim… – … on Smart Computing …, 2018 – ieeexplore.ieee.org
… For example, The Security Exchange Commission (SEC) is using big data to monitor financial market activity using network analytics and natural language processor that helps in detecting fraud and illegal trading activity [4]. Both the health sectors and policy makers have also …

A Fuzzy Logic Approach to Predict the Popularity of a Presidential Candidate
P Mazumder, NA Chowdhury, MAUA Bhuiya… – Modern Approaches for …, 2018 – Springer
… The authors in [3] have performed sentiment analysis on twitter data from 2016 Spanish General Election using Tweetinvi API. The authors in [4] did sentiment analysis with SentiWord and a natural language processor SNLP to predict popularity of the IPhone6 and its features …

Automated Validation of Requirement Reviews: A Machine Learning Approach
M Singh – 2018 IEEE 26th International Requirements …, 2018 – ieeexplore.ieee.org
… C. Develop guidelines on writing effective requirements: The availability of Stanford Natural Language Processor (Stanford NLP) and its ability to process text into POS tags motivated us to analyze whether POS tags of SRS document and requirement reviews can help us …

NASA Pilot-Engaged Expert Response Using IBM Watson Technology: Prototype Evaluation of Knowledge Retrieval System
G Katz, C Ding, A Doyle – 2018 – ntrs.nasa.gov
… CDA Contextual Data Augmentation CDT Contextual Data Type EFB Electronic Flight Bag IoT Internet of Things LaRC Langley Research Center NLP Natural Language Processor PEER Pilot-Engaged Expert Response QA Question-Answer QRH Quick Reference Handbook …

Mobile-based Monitoring of Parkinson’s Disease
E Kuosmanen, V Kan, A Visuri, J Vega… – Proceedings of the 17th …, 2018 – dl.acm.org
… We kept the ball sensitivity the same on iOS. Medication Journal: The time of medication intake is recorded to medication journal using manual input (“Now” and “Specify time” buttons) or via the voice input, powered by the natural language processor [12] (Fig …

An Ontological Model for Analyzing Liver Cancer Medical Reports
R Messaoudi, T Labidi, A Vacavant, F Gargouri… – … , and Middle Eastern …, 2018 – Springer
… Then, it focuses on integrating medical terminologies for diversity healthcare purposes. Hahn et al. [10] proposed a natural language processor called MEDSYNDIKATE. It offered semantic interpretation taken from medical documents …

Big data users and machine learning algorithms
V Jayalakshmi, M Lakshmi – pragatipublication.com
… B. Financial and Securities The financial market activities are monitored by the Securities Exchange Commission using big data [2]. To hook illegal trading activity in the financial markets, It is using natural language processors and network analytics …

STOP: A Smartphone-based Game for Parkinson’s Disease Medication Adherence
V Kan, D Rajanen, KO Asare, D Ferreira – Proceedings of the 2018 ACM …, 2018 – dl.acm.org
… a different color, that makes the experience more understandable (Figure 2). Finally, along with the manual input, the application supports the data input by voice (Figure 4) with the help of Android’s speech recognizing component [2] and natural language processor provided by …

Scalable Architecture for Telemonitoring Chronic Diseases in Order to Support the CDSSs in a Common Platform
A Yazdani, R Safdari, M Ghazisaeedi… – Acta Informatica …, 2018 – ncbi.nlm.nih.gov
… The modules of this framework include a natural language processor, a module for extracting patient’s signs and symptoms, a decision support system, and finally an outlet of decision support system for disease diagnosis and drug prescription …

Smart Mirror Using Raspberry Pi Model 3 B
A Dixit, K Das, RH Patil, J Sivapriya – ijeter.everscience.org
… 3) LCD Screen An LCD screen is placed behind the two-way mirror to display all the output. 4) AIY Voice Kit It is a natural language processor kit with the embedded Google Assistant. It helps in interacting with the voice commands. 5) Mirror …

Multimedia Summarization and Retrieval of News Broadcast
MNV Bhalerao, MSS Apte, MAR Kulkarni – 2018 – irjet.net
… News transcript consisting of individual news stories is passed to natural language processor to identify important keywords and store it in database. Then individual news story is summarized using lexical chain text summarization method …

Detecting Latin-Based Medical Terminology in Croatian Texts
K Kocijan, MP di Buono, L Miji? – International Conference on Automatic …, 2018 – Springer
… MER), we mention MetaMap [18], a reference tool which recognizes and categorizes medical terms by matching noun phrases in free texts to the corresponding UMLS Metathesaurus and Semantic Network, and MEDSYNDIKATE [19], a natural language processor able to …

Open Source Platform Digital Personal Assistant
A Khusnutdinov, D Usachev, M Mazzara… – 2018 32nd …, 2018 – ieeexplore.ieee.org
… Variability of actions which a DPA can perform depends on the plugged intent handlers [1]–[4]. For this reason, comparing assistants by plugged modules does not reflect the real quality of them. The main advantages of a DPA are hidden in natural language processor modules …

jsr223: A Java Platform Integration for R with Programming Languages Groovy, JavaScript, JRuby, Jython, and Kotlin
FR Gilbert, DB Dahl – The R Journal, 2018 – journal.r-project.org
… solutions with relative ease. We demonstrate two typical use cases in this document with subjects that are of particular interest to many data scientists: a natural language processor, and a neural network classifier. In addition to …

Plenary Panel Discussion: Technology and innovation—the keys to a resilient business
A Wonhas, S Gregory, A Fotheringham, C Heyning – The APPEA Journal – CSIRO
… But the speech recognition breakdown today. But that’s a building block technology. The natural language processor that understands your question, that’s not ours. That’s sitting on top of somebody else. So that will either be– for us, that’s either IBM, Amazon, or Google …

Revenue Is A Poor Indicator For Measuring A Tax-Haven-Based Subsidiaries’ Contribution To Tax Reduction
M Li – 2018 – seas.upenn.edu
… does not have any operating subsidiary.”, much more difficult to extract structuralized information from. Our best bet is to feed them into a natural language processor and let it detect all named entities present. We would expect a low precision and low accuracy …

Ontologies-Based Process in Software Reengineering
M Saker, N Bounour – … Symposium on Modelling and Implementation of …, 2018 – Springer
… Figure 3 shows the tree modules of KITSS, natural language processor, interaction analyzer and the translator. The software test model is described via an ontology. However, KITSS is limited to just black box testing only. Open image in new window Fig. 3. Fig. 3 …

Epidemic Alert System: A Web-based Grassroots Model
E Noma-Osaghae… – International …, 2018 – eprints.covenantuniversity.edu.ng
… The focus of the researcher?s work was a survey on the use of artificial intelligence, social network, data mining tools and natural language processors to monitor the progress of disease outbreaks from predominantly unstructured data …

Combined Support Vector Machine and Pattern Matching for Arabic Islamic Hadith Question Classification System
AM Hasan, TH Rassem, MN Noorhuzaimi – International Conference of …, 2018 – Springer
… 2.2 Stop Word Removal. The stop word removal is the processing of the task in any natural language processor, the document is usually found to contain unnecessary words, such as pronouns, prepositions, and conjunctions and others …

jsr223: A Java Platform Integration for R with Programming Languages Groovy, JavaScript, JRuby (Ruby), Jython (Python), and Kotlin
FR Gilbert, DB Dahl – rdrr.io
… with relative ease. We demonstrate two typical use cases in this document with subjects that are of particular interest to many data scientists: a natural language processor, and a neural network Page 6. Introduction 6 Figure 1 …

Context Analysis of Customer Requests using a Hybrid Adaptive Neuro Fuzzy Inference System and Hidden Markov Models in the Natural Language Call …
S Rustamov, E Mustafayev, MA Clements – Open Engineering, 2018 – degruyter.com
… presented EduICR – an Intelligent Call Routing system consists of telephone communication network; Vietnamese speech recognition; Text classifier/Natural language processor and Vietnamese speech synthesis and achieved more than 95% accuracy in real environment [25] …

Towards hybrid human-machine scientific information extraction
R Tchoua, A Ajith, Z Hong, L Ward… – 2018 New York …, 2018 – ieeexplore.ieee.org
… 2001. [6] Lussier, Y., and C. Friedman. “BiomedLEE: a natural-language processor for extracting and representing phenotypes, underlying molecular mechanisms and their relationships.” ISMB: 2007 (2007). [7] Krauthammer, Michael, and Goran Nenadic …

Exploiting Linguistic Style as a Cognitive Biometric for Continuous Verification
T Neal, K Sundararajan… – … Conference on Biometrics …, 2018 – ieeexplore.ieee.org
… grammar, and con- text. Syntactic features capture sentence-level structure, and often rely upon robust natural language processors, while semantic features attempt to capture meaning and connota- tion. Structural features reflect …

Introducing dynamism in emotional agent societies
JA Rincon, A Costa, G Villarrubia, V Julian… – Neurocomputing, 2018 – Elsevier
… It is able to communicate using a natural language processor, thus it is capable of basic human communication and keeping a very simple conversation. It is able to receive structured voice command and navigate in a home environment …

Scientists Turn to Machine Learning to Save Lives
J Dawson – APS Observer, 2018 – psychologicalscience.org
… The patients would continue to complete risk assessments via the app, and a natural-language processor within the app could monitor their messages (with the patient’s permission) for language indicative of an imminent suicide attempt …

Universal Morpho-syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the CoNLL 2018 Shared Task
A Seker, A More, R Tsarfaty – Proceedings of the CoNLL 2018 Shared …, 2018 – aclweb.org
… Our parsing system implementa- tion is yap – yet another parser, an open-source natural language processor written in Go3. Once compiled, the processor is a self-contained binary, without any dependencies on external libraries …

Sudden Infant Death Syndrome and Safe Sleep on Twitter: Analysis of Influences and Themes to Guide Health Promotion Efforts
KA Pretorius, M Mackert, GB Wilcox – JMIR Pediatrics and …, 2018 – pediatrics.jmir.org
… for introspection and insights from the unstructured data [26,27]. The first step was to extract, clean, and create a dictionary of words using a natural language processor. Using a Text Parsing node, each message was divided …

Integrating flexibility and fuzziness into a question driven query model
A Sarhan, J Rokne, R Alhajj – Information Sciences, 2018 – Elsevier
… Otherwise, if we allow users to specify their queries as free text then it will be hard to analyze the text properly without involving a very sophisticated natural language processor. Such an approach is outside the scope of this paper …

Competency Models in Graduate Healthcare Management Education: Analysis of Current Practices and Recommendations for Getting to Best Practices
MP Standish – Journal of Health Administration Education, 2018 – ingentaconnect.com
… CrossBot uses an open-source natural language processor (Gensim v2.1 – Rehurek & Sojka, 2010) to calculate the similarity between two competencies, using a metric that identifies both the overlap of words as well as their relative frequency of use within the corpus …

A Modular and Adaptive Architecture for Building Applications with Connected Devices
P Pannuto, W Wang, P Dutta… – 2018 IEEE International …, 2018 – ieeexplore.ieee.org
… by the architecture, shown in Figure 1, allow application descriptions to be decoupled from application implementations, creating a clean separation between the myriad possible methods for constructing applications: visual block editors, natural language processors, or online …

Computer Ontology of Tibetan for Morphosyntactic Disambiguation
A Dobrov, A Dobrova, P Grokhovskiy… – … Conference on Digital …, 2018 – Springer
… This is necessary, because AIIRE natural language processor is designed to perform natural language understanding according with the compositionality principle [24], and idiomaticity is treated not merely as a property of a linguistic unit, but rather as a property of its meaning …

Effects of Voice-Based Synthetic Assistant on Performance of Emergency Care Provider in Training
P Damacharla, P Dhakal, S Stumbo, AY Javaid… – International Journal of …, 2018 – Springer
… detailed review. As shown in Fig. 1, the architecture comprises a combination of a natural language processor (NLP) and a speech synthesizer (SS) playing the role of the interface and a database block. The database block …

Predictive Modelling Using Unstructured Data From Online Forums: A Case Study on E-cigarette Users
KW Khong, SL Tan, S Teng, FS Ong – 2018 – aisel.aisnet.org
… discussion contents now called the text corpus. During text parsing, we extracted, stemmed and filtered words using a natural language processor in the SAS Text Miner programme. The tokenization process took place on the …

Efficient and Accurate Abnormality Mining from Radiology Reports with Customized False Positive Reduction
N Attaluri, A Nasir, C Powe, H Racz… – arXiv preprint arXiv …, 2018 – arxiv.org
… report We systematically evaluated every medical report based on these criteria using three primary steps (refer to Figure 1). First, a Natural Language Processor (NLP) extracted all of the medical concepts present in the text. Next …

MedEx/J: A One-Scan Simple and Fast NLP Tool for Japanese Clinical Texts
E Aramaki, K Yano, S Wakamiya – … of the 16th World Congress on …, 2018 – books.google.com
… 18 (2011) 540-543. [2] C. Friedman, SB Johnson, B. Forman, and J. Starren, Architectural requirements for a multipurpose natural language processor in the clinical environment, Proc Annu Symp Comput Appl Med Care (1995), 347-351 [3] cTAKES, https://ctakes. apache …

Introduction: Research Methods for the Digital Humanities
T Neilson, D Rheams – Research Methods for the Digital Humanities, 2018 – Springer
… 20 We should, however, exercise caution not to think about Digital Humanities as a set of digital tools, such as text markup and analysis software, natural language processors, and GIS (geographical information system), that can simply be applied to the appropriate data sets …

Guidance on Students’ Geography Course Selection Under the Background of New College Entrance Examination System Based on Principal Component …
C Tan, Y Zhang, H Wu, W Xiang – icj-e.org
… 17 2017 No. 04, p.21-24. [13] Friedman C, Hripcsak G. Evaluating natural language processors in the clinical domain. Methods of Information in Medicine, vol. 37 (1998) No. 4-5, p.334. [14] ZHOU Er-min, LIU Qiu-hong, WANG Gui-yong …

Designing a Virtual Reality Learning Management System
A Gradinaru, A Moldoveanu… – The International Scientific …, 2018 – ceeol.com
… Figure 2 presents the main components of the proposed platform: • VRP: player able run and create virtual environments • MMO: network server needed to run multi-user environments • VR Scene: ensures scene persistence • NLP: natural language processor, including audio …

Can a Chatbot Determine My Diet?: Addressing Challenges of Chatbot Application for Meal Recommendation
A Fadhil – arXiv preprint arXiv:1802.09100, 2018 – arxiv.org
… Artificial Intelligence bots provide an overall function far greater than a mere chatbot and require a brain and a Natural Language Processor (NLP) to con- vert and harness the outcomes of conversations, apply some intelligence and convert that knowledge through learning into …

The Impact of Implementation of a Clinically Integrated Problem-Based Neonatal Electronic Health Record on Documentation Metrics, Provider Satisfaction …
W Liu, T Walsh – JMIR medical informatics, 2018 – medinform.jmir.org
… This review was also inclusive of nursing notes, all flow sheets, laboratory values, and mother’s EHR. The 3M 360 software has an embedded natural language processor that helps the reviewer to identify potential diagnoses and sequence in order of severity …

A New In-Car Navigation System Based on V2C2V and Data Science
BH Wu, SJ Huang – IT Professional, 2018 – ieeexplore.ieee.org
… For example, a variety of AI chips, such as image recognition processor chips and natural language processor chips, have been developed to en- hance the computing capabilities of the in-car navigation system. REFERENCES …

Big Data Management and Growth Enhancement
D Bhattacharya – 2018 – irjet.net
… Indeed, they can detect quite early risks, which will help prevent losses due to bad loans or failed investments. For monitoring financial markets through network activity monitors and natural language processors to reduce fraudulent transactions …

Accelerating materials development via automation, machine learning, and high-performance computing
JP Correa-Baena, K Hippalgaonkar, J van Duren… – Joule, 2018 – Elsevier
… 44 In the absence of data standards, it is possible that the burden of data aggregation will shift onto natural language processors, 34 ie, computer programs designed to extract relevant data from available media (eg, publications, reports, presentations, and theses) …

Improving on Q & A Recurrent Neural Networks Using Noun-Tagging
E Partridge, J Sklar, O El-lakany – arXiv preprint arXiv:1807.04778, 2018 – arxiv.org
… The preprocessing step of removing all words ex- cept for nouns, using the SpaCy [3] Natural Language Processor, for entity detection, re- duced the vocabulary size, and therefore the complexity of the embedding layer, by a factor of 10, which drastically increased our accuracy …

Algorithms used to identify ventricular arrhythmias and sudden cardiac death in retrospective studies: a systematic literature review
Y Ye, EP Larrat, AR Caffrey – Therapeutic advances in …, 2018 – journals.sagepub.com
Drug-induced QT interval prolongation may increase the risk of sudden cardiac death or ventricular arrhythmias (SCD/VA), and therefore affects the safety profil…

Study of Consumer’s Unconscious Reaction towards the Use of Anthropomorphic Appearance of AI: An Eye-Tracking Experiment
I Ene – Studia Universitatis „Vasile Goldis” Arad–Economics …, 2018 – degruyter.com
… An example in which natural language processing is a major component is an automated online assistant that provides customer service on a web page. Other examples of natural language processors are Alexa, Siri or Google Home …

Analysis of Computational Gene Prioritization Approaches
MR Raj, A Sreeja – Procedia computer science, 2018 – Elsevier
… For the application of several solution strategies natural language processor tasks like part of speech tagger, named entity recognizer, semantic role labelers are used. Text mining based gene prioritization methods are listed in Table 2 …

A component architecture for the internet of things
C Brooks, C Jerad, H Kim, EA Lee… – Proceedings of the …, 2018 – ieeexplore.ieee.org
… This part of the app could, for example, state, “I found three devices. Is this the device you want?” If the user says “no” or “not really” (the natural language processor would han- dle such variability) it could scroll to the next one and state “How about this one?” III …

Predicting Software Defectiveness by Mining Software Repositories
S Kasianenko – 2018 – diva-portal.org
… In addition to already reported bugs, they are augmented with unreported bugs found on “discussions” section in repository and parsed by a natural language processor. Metrics were filtered to remove ones, that were not related to defect data by applying correlation algorithm …

From narrative descriptions to MedDRA: automagically encoding adverse drug reactions
C Combi, M Zorzi, G Pozzani, U Moretti… – Journal of biomedical …, 2018 – Elsevier
… FSTs were proven to be efficient in the large-scale classification task. In [28] the natural language processor MEDSYNDIKATE is introduced. MEDSYNDIKATE couples Grammatical knowledge, semantic knowledge, and conceptual (ontological) knowledge …

Measuring the impact of emerging technologies in education: A pragmatic approach
M Cukurova, R Luckin – Second Handbook of Information Technology in …, 2018 – Springer
… However, it could also be used as part of students’ group activities in which students talk with the AI agents in order to improve their pronunciation, motivated to be understood by the natural language processors of the AI agents (Underwood 2017) …

Surveying stylometry techniques and applications
T Neal, K Sundararajan, A Fatima, Y Yan… – ACM Computing …, 2018 – dl.acm.org
… information. Compared to word-based features, character features are not highly effected by noise (ie, spelling inconsistencies and grammatical errors), while natural language processors are not required for feature extraction …

Parallel hardware for faster morphological analysis
I Damaj, M Imdoukh, R Zantout – Journal of King Saud University-Computer …, 2018 – Elsevier
Skip to main content …

Intelligent (Smart) E-Commerce
E Turban, J Outland, D King, JK Lee, TP Liang… – Electronic Commerce …, 2018 – Springer
… Internet. The conversations are frequently done by short questions and answers. More intelligent chatbots are equipped with natural language processors, so the computer can understand unstructured dialog. Some companies …

Hospital Tweets on H1N1 and Death Panels: Text Mining the Situational Crisis Communication Response to Health Crises and Controversies
AK Roundtree – KOME-AN INTERNATIONAL JOURNAL OF …, 2018 – komejournal.com
… Linguistic Inquiry and Word Count (LIWC), a natural language processor, calculated percentages of words that reflect different emotions and tones using a group of dictionaries tested and validated by linguistic research for psychologically-relevant categories (Pennebaker …

Foreign arrivals nowcasting in Italy with Google Trends data
F Antolini, L Grassini – Quality & Quantity, 2018 – Springer
… English is designed to catch foreign potential tourists. Natural language processor automatically provides classification of the queries into the related category and subcategory. Combining different search queries shouldn’t deliver …

Learning Contextual Knowledge Structures from the Web for Facilitating Semantic Interpretation of Tweets
N Javed, BL Muralidhara – … on Recent Advancement on Computer and …, 2018 – Springer
… Proc. LREC 6(2006), 449–454 (2006)Google Scholar. 24. Liu, H.: MontyLingua: an end-to-end natural language processor with common sense. Available at: http://web.media.mit.edu/~hugo/ montylingua(2004). Copyright information. © Springer Nature Singapore Pte Ltd. 2018 …

Lifetime Achievement Award
M Steedman – 2018 – research.ed.ac.uk
… the parser (because it is there in the grammar). In fact, this is just another drop in the ocean of derivational ambiguity that faces all natural language processors, and can be handled by exactly the same statistical models as other varieties …

Extract clinical measurement values using a regular expression pattern discovery algorithm vs support vector machine
D Redd, B Gibson, MA Murtaugh, J Goulet… – E-HEALTH 2018 ICT …, 2018 – academia.edu
… American Medical Informatics Association. Denny, JC, Miller, RA, Waitman, LR, Arrieta, MA and Peterson, JF, 2009. Identifying QT prolongation from ECG impressions using a general-purpose Natural Language Processor. International journal of medical informatics, 78, pp …

National Assessment Governing Board
B Bushaw, L Stooksberry – nagb.gov
Page 1. National Assessment Governing Board Ad Hoc Committee on Measures of Postsecondary Preparedness Thursday, May 17, 2018 3:00 – 5:00 pm Research Question #3: Measures of Preparedness—Measures for What? AGENDA …

Electronic Portfolios Enhanced with Learning Analytics at the Workplace
MF van der Schaaf – Handbook of Vocational Education and Training …, 2018 – Springer
… Besides the fact that supervisors or peers can write feedback in a trainee’s portfolio, the project experimented with a natural language processor (NLP) that automatically identified and produced feedback messages to trainees or their supervisors based on incoming data …

The economics of Machine Learning: a microeconomic model of customer-firm interaction
C CAMBINI, MP BORTONE – 2018 – webthesis.biblio.polito.it
… or other signals. Speech recognition It is implemented to obtain text starting from spoken words. Natural-language processor It helps to detect the intent of the interlocutor in text-based commands. Information processing It is …

Directing Virtual Humans Using Play-Scripts and Spatio-Temporal Reasoning
C Talbot – 2018 – researchgate.net
Page 1. DIRECTING VIRTUAL HUMANS USING PLAY-SCRIPTS AND SPATIO- TEMPORAL REASONING by Christine Talbot A dissertation submitted to the faculty of The University of North Carolina at Charlotte in partial fulfillment …

The Reinforced Enterprise Business Architecture (rebar) Ontology
CA HOYLAND – Complex Systems Studies, 2018 – books.google.com
… Growing the enterprise digital library of docu- ments as linked sets was another happy surprise. Natural language processors, such as IBM’s cognitive AI application Watson, identify methods for training an installed instance of the application …

An Ontology-Oriented Architecture for Dealing With Heterogeneous Data Applied to Telemedicine Systems
J Peral, A Ferrández, D Gil, R Munoz-Terol… – IEEE Access, 2018 – ieeexplore.ieee.org
… [95]–[100]. • The Knowledge Representation (KR) system stores the underlying model of the domain that is employed by many artificial intelligence applications, such as planners, robots, natural language processors, and game-playing systems …

Configuring a quotation through a conversational agent
F Gundersen – 2018 – theseus.fi
… There are multiple ways of implementing machine learning, but one technique used in chatbots is using a deep learning algorithm with a natural language processor. Neural network or deep learning is an algorithm that tries to simulate how the neurons in a human brain work …

A Concept for Quantitative Comparison of Mathematical and Natural Language and its possible Effect on Learning
G Wittum, R Jabs, M Hoffer, A Nägel, W Bisang… – Positive Learning in the …, 2018 – Springer
… The Chi- nese answer reduces the tree to the mere root This level of complexity is still far from what natural language processors can handle. As pointed out above, the conceptual approach presented here is feasible for comparing natural and mathematical language …

Converting Natural Language Text to ROS-Compatible Instruction Base
T Kakusa, M Hsiao – … on Artificial Intelligence and Virtual Reality …, 2018 – ieeexplore.ieee.org
… for ROS. Hence, the results will be broken down into different cases, with each explaining the problem that needs to be solved and how that was possible using the instructions built with the natural language processor. In each …

Multi-Agent-Based Analysis and Design of Decision-Support System for Real-Time Environment Control
N Das, A Kundu – International Journal of Green Computing (IJGC), 2018 – igi-global.com
Page 1. DOI: 10.4018/IJGC.2018010101 International Journal of Green Computing Volume 9 • Issue 1 • January-June 2018 Copyright©2018,IGIGlobal.Copyingordistributinginprint orelectronicformswithoutwrittenpermissionofIGIGlobalisprohibited. 1 …

Data preparation and improvement of NLP software modules for parametric speech synthesis
S Gardini – 2018 – tesi.cab.unipd.it
… 2https://msdn.microsoft.com/en-us/library/aa480020.aspx#aj1rules_topic10 22 Page 25. 2.2. Text-to-speech synthesis 23 steps. The first one, the front-end or Natural Language Processor (NLP), converts the input into linguistic specification …

Using Natural Language Processing and Machine Learning for Analyzing Clinical Notes in Sickle Cell Disease Patients
S Khizra – 2018 – rave.ohiolink.edu
Page 1. Using Natural Language Processing and Machine Learning for Analyzing Clinical Notes in Sickle Cell Disease Patients A Thesis submitted in partial fulfillment of the requirements for the degree of Master of Science by Shufa Khizra BSCS, Andhra University, 2014 2018 …

Client-side querying of media fragments using a low-cost
B Hendrickx – 2018 – lib.ugent.be
… VI. FUTURE WORK For now, the system relies on users to define SPARQL-MM queries to find their media. As this is not very usable for most people, a natural language processor could be added to translate natural sentences into correct SPARQL-MM queries …

Standards for smart education–towards a development framework
T Hoel, J Mason – Smart Learning Environments, 2018 – Springer
… each student. • Simple rule-based process engines. • More complex inference engines. • Natural language processors. • Pedagogical designs. • Student learner models. • Student activity data. • Specifying competence. Learn. Ability …

Interactive Advising with Bots: Improving Academic Excellence in Educational Establishments
W Nwankwo – American Journal of Operations Management and …, 2018 – researchgate.net
… In order to produce viable responses, the knowledge about the domain of student advising in an academic environment is held in the knowledge base which is linked to a natural language processor component of the AdvisorBot subsystem …

Effectiveness of electric vehicle incentives in the United States
A Jenn, K Springel, AR Gopal – Energy Policy, 2018 – Elsevier
Transportation accounts for 28% of total energy use and 26% of carbon emissions in the US, and battery electric and plug-in hybrid electric vehicles are promisi.

The Lost Combinator
M Steedman – Computational Linguistics, 2018 – MIT Press
Create a new account. Email. Returning user. Can’t sign in? Forgot your password? Enter your email address below and we will send you the reset instructions. Email. Cancel. If the address matches an existing account you will …

Natural Language Processing and Its Implications for the Future of Medication Safety: A Narrative Review of Recent Advances and Challenges
A Wong, JM Plasek, SP Montecalvo… – … : The Journal of Human …, 2018 – Wiley Online Library
Page 1. Accepted Article This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record …

Identifying suicide ideation and suicidal attempts in a psychiatric clinical research database using natural language processing
AC Fernandes, R Dutta, S Velupillai, J Sanyal… – Scientific reports, 2018 – nature.com
Article.

Individualizing Without Excluding: Ethical And Technical Challenges: Filter Bubbles and their Effects on Society
A Normark, R Oskarsson – 2018 – diva-portal.org
Page 1. UPTEC IT 18 005 Examensarbete 30 hp Maj 2018 Individualizing Without Excluding: Ethical And Technical Challenges Filter Bubbles and their Effects on Society Anna Normark Rebecca Oskarsson Institutionen för informationsteknologi …

On the Exploration of Equal Length Cellular Automata Rules Targeting a MapReduce Design in Cloud
A Mitra, A Kundu, M Chattopadhyay… – International Journal of …, 2018 – igi-global.com
Page 1. DOI: 10.4018/IJCAC.2018040101 International Journal of Cloud Applications and Computing Volume 8 • Issue 2 • April-June 2018 Copyright©2018,IGIGlobal.Copyingor distributinginprintorelectronicformswithoutwrittenpermissionofIGIGlobalisprohibited. 1 …

A Framework For Understanding And Detecting Harassment In SocialVR
L POWELL – tabilab.cmpe.boun.edu.tr
Page 1. A FRAMEWORK FOR UNDERSTANDING AND DETECTING HARASSMENT IN SOCIALVR LANCE POWELL BO?AZ?Ç? UNIVERSITY 2018 Page 2. A FRAMEWORK FOR UNDERSTANDING AND DETECTING HARASSMENT IN SOCIALVR Thesis submitted to the …

Investigations of the Properties of Narrative Schemas
DE Simonson – 2018 – repository.library.georgetown.edu
Page 1. Investigations of the Properties of Narrative Schemas A Dissertation submitted to the Faculty of the Graduate School of Arts and Sciences of Georgetown University in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Linguistics By …

Voice command based android java code generator
MD Islam, H Mobarak, MD Islam – 2018 – dspace.bracu.ac.bd
Page 1. Voice Command based Android Java Code Generator Submitted by: MD. Shakerul Islam (14101018) Hosne Mobarak (14101002) MD. Mominul Islam (14101174) Department of Computer Science and Engineering Supervisor …

CogStack-experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital
R Jackson, I Kartoglu… – BMC medical …, 2018 – bmcmedinformdecismak …
Skip to content Advertisement. Advertisement …

Semantic Interpretation of Tweets: A Contextual Knowledge-Based Approach for Tweet Analysis
N Javed, BL Muralidhara – Knowledge Computing and Its Applications, 2018 – Springer
Tweets are cryptic and often laced with insinuation. Hence, interpretation of tweets cannot be done in isolation. Human beings can interpret the tweets because they possess the requisite Contextual…

Multimedia-enhanced Radiology Reports: Concept, Components, and Challenges
LR Folio, LB Machado, AJ Dwyer – RadioGraphics, 2018 – pubs.rsna.org

Deep phenotyping on electronic health records facilitates genetic diagnosis by clinical exomes
JH Son, G Xie, C Yuan, L Ena, Z Li, A Goldstein… – The American Journal of …, 2018 – Elsevier
Skip to main content …

A Unified Framework For Analyzing Aggregate And Issue-Specific Preference From Non-Voting Datasets
Y SOHN – asiapolmeth.princeton.edu
Page 1. A UNIFIED FRAMEWORK FOR ANALYZING AGGREGATE AND ISSUE-SPECIFIC PREFERENCE FROM NON-VOTING DATASETS: COALITIONAL ITEM RESPONSE THEORY MODEL YUNKYU SOHN Abstract. Position …

Defining phenotypes from clinical data to drive genomic research
JR Robinson, WQ Wei, DM Roden… – Annual Review of …, 2018 – annualreviews.org
Page 1. BD01CH04_Denny ARI 14 April 2018 8:1 Annual Review of Biomedical Data Science Defining Phenotypes from Clinical Data to Drive Genomic Research Jamie R. Robinson,1,2 Wei-Qi Wei,1 Dan M. Roden,1,3,4 and Joshua C. Denny1,3 …

A journey of Indian languages over sentiment analysis: a systematic review
S Rani, P Kumar – Artificial Intelligence Review, 2018 – Springer
Page 1. Artificial Intelligence Review https://doi.org/10.1007/s10462-018-9670-y A journey of Indian languages over sentiment analysis: a systematic review Sujata Rani1 · Parteek Kumar1 © Springer Nature BV 2018 Abstract …

Small Satellite Sensor and Processing Analysis for Maritime Domain Awareness
JA Mcgowan – 2018 – apps.dtic.mil
Page 1. NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIA THESIS SMALL SATELLITE SENSOR AND PROCESSING ANALYSIS FOR MARITIME DOMAIN AWARENESS by Jeremy A. Mcgowan June 2018 Thesis Advisor: Charles M. Racoosin Co-Advisor …

Interactive bot to support the use of the UPTEC intranet
JF Oliveira – 2018 – repositorio-aberto.up.pt
Page 1. FACULTY OF ENGINEERING OF UNIVERSITY OF PORTO Interactive bot to support the use of the UPTEC intranet João Fernando Oliveira e Silva Master in Informatics and Computing Engineering Supervisor: Henrique Lopes Cardoso June 10, 2018 Page 2 …

Optimization of personnel response in an eICU environment
P Ferguson – 2018 – dspace.mit.edu
Page 1. Optimization of Personnel Response in an eICU Environment by Phillip Ferguson Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of …

Use of Assembly Inspired Instructions in the Allowance of Natural Language Processing in ROS
TL Kakusa – 2018 – vtechworks.lib.vt.edu
Page 1. Use of Assembly Inspired Instructions in the Allowance of Natural Language Processing in ROS By Takondwa Kakusa Thesis submitted to the Faculty of the Virginia Polytechnic Institute and State University in partial fulfillment of the requirements for the degree of …

Analyzing Scenario-based Specifications
B Horváth, Z Micskei, A Vörös – 2018 – docs.inf.mit.bme.hu
Page 1. Budapest University of Technology and Economics Faculty of Electrical Engineering and Informatics Department of Measurement and Information Systems Analyzing Scenario-based Specifications Master’s Thesis v1.0.1 Modified Edition Author Advisor …

A framework for semi-automated co-evolution of security knowledge and system models
J Bürger, D Strüber, S Gärtner, T Ruhroth… – Journal of Systems and …, 2018 – Elsevier
Skip to main content …

Semantic text classification: A survey of past and recent advances
B Alt?nel, MC Ganiz – Information Processing & Management, 2018 – Elsevier
Skip to main content …

Social Enterprise and Other Social Commerce Topics
E Turban, J Outland, D King, JK Lee, TP Liang… – Electronic Commerce …, 2018 – Springer
Upon completion of this chapter, you will be able to:1.Understand the concept of the social enterprise and its variants.2.Describe business- oriented public social networks, their characteristics, and.

Discourse and Dialogue
SE Brennan, AK Kuhlen, J Charoy – Stevens’ Handbook of …, 2018 – books.google.com
Page 162. CHAPTER 5 Discourse and Dialogue SUSAN E. BRENNAN, ANNA K. KUHLEN, AND JEANNE CHAROY INTRODUCTION Discourse is language used in social context—typically, utterances or sentences, connected …

Humanity Works: Merging Technologies and People for the Workforce of the Future
A Levit – 2018 – books.google.com
Page 1. MERGING TECHNOLOGES AND PEOPLE FOR THE WORKFORCE OF THE FUTURE ALEXANDRA LEVIT & Kogan Page |NSPIRE Page 2. Praise for Humanity Works ‘Hold on tight. Alexandra Levit’s Humanity Works …

Chapter 5: Discourse & Dialogue
SE BRENNAN, AK KUHLEN… – Stevens’ Handbook of …, 2018 – books.google.com
Page 159. Trim Size: 7in x 10in whº wº cQ5. tex V1-12/28/2017 6: 57 PM. Page 149 CHAPTER 5 Discourse and Dialogue SUSAN E. BRENNAN, ANNA K. KUHLEN, AND JEANNE CHAROY INTRODUCTION Discourse is language …

Data Management and Data Description
R Williams – 2018 – books.google.com
Page 1. ROLTLEDGE R EV | WALS Data Management and Data Description Richard Williams Page 2. DATA MANAGEMENT AND DATA DESCRIPTION Page 3. DATA MANAGEMENT AND DATA DESCRIPTION Richard Williams Richalis Limited Page 4 …

Ontology Based Framework for Conceptualizing Human Affective States and Their Influences
R Abaalkhail – 2018 – ruor.uottawa.ca
Page 1. Ontology based Framework for Conceptualizing Human Affective States and their Influences by Rana Abaalkhail Thesis submitted to the Faculty of Graduate and Postdoctoral Studies In partial fulfillment of the requirements For the Ph.D. degree in Computer Science …

Human+ Machine: Reimagining Work in the Age of AI
PR Daugherty, HJ Wilson – 2018 – books.google.com
Page 1. “A richly detailed guidebook leaders need to capture the opportunities of AI and the fourth industrial revolution.” -KLAUS 5¢HWAB Founder and Executive Chºirman, World Economic Forum UMAN + Reimagining Work …

Breaking Digital Gridlock,+ Website: Improving Your Bank’s Digital Future by Making Technology Changes Now
J Best – 2018 – books.google.com
Page 1. k Trim Size: 6in x 9in Best421955 ffirs.tex V2 – 01/22/2018 12:21pm Page i Breaking Digital Gridlock kk k Page 2. k Trim Size: 6in x 9in Best421955 ffirs.tex V2 – 01/22/2018 12:21pm Page ii kk k Page 3. k Trim Size: 6in …

Copyright on the internet: achieving security through electronic devices an artificial intelligence approach
JM Niebla Zatarain – 2018 – core.ac.uk
Page 1. This thesis has been submitted in fulfilment of the requirements for a postgraduate degree (eg PhD, MPhil, DClinPsychol) at the University of Edinburgh. Please note the following terms and conditions of use: This work …

(Visited 18 times, 1 visits today)