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nlp-nocera_acronyms.csv
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nlp-nocera_acronyms.csv
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id term label
0 authorship attribution | (AA)
1 Adaptive Boosting | (AB)
2 Aspect-based sentiment analysis | (ABSA)
3 Attempto Controlled English | (ACE)
4 Ant Colony Optimization | (ACO)
5 Ant colony optimization mixed with Jensen–Shannon divergence | (ACO-JSD)
6 Alliance Confidence Ranking | (ACRank)
7 Automatic Document Classification | (ADC)
8 average distance of documents to the cluster centroid | (ADDC)
9 adverse drug reactions | (ADRs)
10 Alliance Discovery Template | (ADT)
11 adaptive density-weighted sampling | (ADWeS)
12 Automated essay scoring | (AES)
13 Adaptive Filtering | (AF)
14 Abstract Generation System | (AGS)
15 Agglomerative Hierarchical Clustering | (AHC)
16 analytic hierarchy process | (AHP)
17 artificial intelligence | (AI)
18 acquired immune deficiency syndrome | (AIDS)
19 Author-Journal-Topic | (AJT)
20 Automatic Keyphrase Extraction | (AKPE)
21 Acoustic Model | (AM)
22 affix modification-based bilingual pivoting method | (AMBPM)
23 acute myeloid leukemia | (AML)
24 association measures | (AMs)
25 Author name disambiguation | (AND)
26 Artificial Neural Network | (ANN)
27 application programmable interface | (API)
28 application programming interfaces | (APIs)
29 Arabic Person Names | (APNs)
30 automatic question generation | (AQG)
31 Anaphora Resolution | (AR)
32 Arabic Author Profiling for Cyber-Security | (ARAP)
33 attribute-relation file format | (ARFF)
34 Automated Requirements Measurement | (ARM)
35 Asian Research Publishing Network | (ARPN)
36 Anaphora Resolution Systems | (ARS)
37 additive regularization of topic models | (ARTM)
38 a syntactic edge-enhanced graph convolutional network | (ASEGCN)
39 augmented String Kernel | (ASK)
40 Automatic Speech Recognition | (ASR)
41 Au-Tomatic Text Categorization | (ATC)
42 Automatic Term Extraction | (ATE)
43 Author Topic Model | (ATM)
44 Augmented Transition Network | (ATN)
45 Automatic text summarization | (ATS)
46 attention-based | (ATT-)
47 ATT-gated recurrent unit | (ATT-GRU)
48 attention neural network | (Attention)
49 business analytics | (BA)
50 biomedical association mining | (BAM)
51 Bielefeld Academic Search Engine | (BASE)
52 Blogger-Centric Contextual Advertising | (BCCA)
53 Biological Expression Language | (BEL)
54 based on maximum-margin | (BEMM)
55 Bidirectional Encoder Representations from Transformers | (BERT)
56 Business Intelligence | (BI)
57 bidirectional long short-term memory | (BI-LSTM)
58 Business Intelligence Model | (BIM)
59 bibliometric-enhanced information retrieval and natural language processing for digital libraries | (BIRNDL)
60 biomedical literature search | (BLS)
61 bidirectional LSTM | (BLSTM)
62 Biomedical named entity recognition | (BNER)
63 biomedical natural language processing | (BNLP)
64 Bayesian nonparametric | (BNP)
65 Bag of Words | (BOW)
66 Bag Of Word cLusters | (BOWL)
67 Bayesian regularization | (BR)
68 Biomedical entity Relation ONcology COrpus | (BRONCO)
69 Biomedical text mining | (BTM)
70 bidirectional | (Bi)
71 Bidirectional Long Short Term Memory networks | (Bi-LSTM)
72 bilingual LDA | (BiLDA)
73 Bi-directional Long Short Term Memory | (BiLSTM)
74 Bi-Directional Long Short-Term Memory with Conditional Random Field | (BiLSTM-CRF)
75 Biomedical named entity recognition | (Bio- NER)
76 Biomedical Natural Language Processing | (BioNLP)
77 Biomedical text mining | (BioTM)
78 Bag-of-Concepts | (BoC)
79 Bag-of-Concept-Clusters | (BoCCl)
80 Bag-of-Words | (BoW)
81 comparable bilingual latent Dirichlet allocation | (C-BiLDA)
82 Classical Arabic | (CA)
83 CANcer TExt Mining Shared Task | (CANTEMIST)
84 component-based cascade n-gram | (CBC n-gram)
85 combined band net | (CBN)
86 continuous bag of words | (CBOW)
87 case based reasoning | (CBR)
88 concept jumping up | (CCJU)
89 Conference on Knowledge Graph and Semantic Computing | (CCKS)
90 Concept Chain Queries | (CCQ)
91 Conditional random field regularized Correlated Topic Model | (CCTM)
92 Causality Detection Network | (CDNet)
93 Collaborative Filtering | (CF)
94 conceptual graph | (CG)
95 Calinsiki-Har-abasz | (CH)
96 Characterized Protein | (CHAR)
97 chemical entities and dings | (CHED)
98 cannot-link | (CL)
99 class-specific sentiment analysis | (CLASENTI)
100 Conference and Labs of the Evaluation Forum 2020 | (CLEF2020)
101 cross lingual information retrieval | (CLIR)
102 Customer Loyalty Improvement Recommender System | (CLIRS)
103 chronic lymphocytic leukemia | (CLL)
104 Cross-Lingual Word Sense Disambiguation | (CLWSD)
105 Computational Linguistics for Metadata Building | (CLiMB)
106 Content management systems and frameworks | (CMS/F)
107 Clinical Named Entity Recognition | (CNER)
108 convolutional neural network | (CNN)
109 competition on legal information extraction/ entailment | (COLIEE)
110 coronavirus disease 2019 | (COVID-19)
111 collective perception | (CP)
112 China Pakistan Economic Corridor | (CPEC)
113 Chinese proper nouns recognition | (CPNR)
114 Citing Papers | (CPs)
115 Community Question Answering | (CQA)
116 Colorado Richly Annotated Full-Text | (CRAFT)
117 Concept-Relation-Concept Tuple-based Ontology Learning | (CRCTOL)
118 conditional random fields | (CRF)
119 Conditional Random Fields | (CRFs)
120 Conceptual Reference Model | (CRM)
121 customer requirements | (CRs)
122 Computer Science | (CS)
123 convolutional sliding window and random forest based algorithm | (CSRF)
124 concurrent think-aloud protocol | (CTA)
125 Correlated topic model | (CTM)
126 Critical to Quality | (CTQ)
127 Content Tree Word Embedding | (CTWE)
128 concept unique identifiers | (CUIs)
129 Cross-language information retrieval | (CUR)
130 Computer Vision | (CV)
131 Cohen Weighted Kappa | (CWA)
132 Content Words | (CWs)
133 Chat Analytics for Twitch | (ChAT)
134 Cheminformatics Elsevier Melbourne University | (ChEMU)
135 Clinical Named Entity Recognition | (CliNER)
136 Deep Convolutional Neural Networks | (DCNNs)
137 Distributional Compositional Semantics | (DCS)
138 Dewey Decimal Classification | (DDC)
139 Drug-Drug Interaction | (DDI)
140 DEep Contextualized Attentional Bidirectional LSTM | (DECAB-LSTM)
141 differentially expressed genes | (DEGs)
142 Dynamic Feature Generation Network | (DFGN)
143 dynamic global mutation probability | (DGMP)
144 disorders | (DISO)
145 digital libraries | (DL)
146 Data Mining | (DM)
147 dense semantic matching network | (DMN)
148 deep neural network | (DNN)
149 Dependency Parsing | (DP)
150 Dimensionality Reduction | (DR)
151 Distributional Semantics | (DS)
152 Design Science Research | (DSR)
153 Decision Trees | (DT)
154 digital text communication | (DTC)
155 double-vector model | (DVM)
156 data warehouse | (DW)
157 Extroversion vs. Introversion | (E-I)
158 ensemble of Latent Dirichlet Allocation | (E-LDA)
159 Enhanced Vector Space Model | (E-VSM)
160 Essex Arabic Summaries Corpus | (EASC)
161 Evidence Based Medicine | (EBM)
162 ensemble clustering approach | (ECA)
163 Editor-Contribution-based Rank | (ECR)
164 Enterprise Clinical Research Data Warehouse | (ECRDW)
165 expert-based Delphi text mining | (EDTM)
166 evolving fuzzy grammar | (EFG)
167 Electronic Health Record | (EHR)
168 Electronic health records | (EHRs)
169 embeddings from language models | (ELMo)
170 Expectation Maximization | (EM)
171 Europe Media Monitor | (EMM)
172 Elastic MapReduce | (EMR)
173 Electronic Medical Records | (EMRs)
174 Electronic Programming Guide | (EPG)
175 entity recognition | (ER)
176 emergency services agencies | (ESAs)
177 Edinburgh Stroke Study | (ESS)
178 English SentiWordNet | (ESWN)
179 Encoder-only Transformer Language Model | (ETLM)
180 EU Data Protection Directive 94/46/EC | (EU-DPD)
181 Feeling vs. Thinking | (F-T)
182 Fuzzy Association Concept Mapping | (FACM)
183 Frequently Asked Questions | (FAQs)
184 Facebook | (FB)
185 fuzzy Bag-of-Words | (FBoW)
186 fuzzy Bag-of-WordClusters | (FBoWC)
187 Financial Industry Business Ontology | (FIBO)
188 Freedom of Information | (FOI)
189 Feature Relation Network | (FRN)
190 Full Automatic Paper Analysis System | (Fapas)
191 Generating Association Rules based on Weighting scheme | (GARW)
192 General Architecture for Text Engineering | (GATE)
193 Gradient Boosted Trees | (GBT)
194 global-content | (GC)
195 graph convolutional networks | (GCNs)
196 Gastrointestinal | (GI)
197 generalized iterative scaling | (GIS)
198 global and local word embedding-based topic model | (GLTM)
199 Gene Normalization | (GN)
200 Gaussian Naïve Bayes | (GNB)
201 Gene Ontology | (GO)
202 Gene Regulation Ontology | (GRO)
203 Gated Recurrent Units | (GRU)
204 Goods and Services Tax | (GST)
205 Generalized Singular Value Decomposition | (GSVD)
206 grey wolf optimizer | (GWO)
207 given concepts. Typically, this measure, after constructing concepts definitions | (Glosses)
208 hierarchical bidirectional recurrent neural network | (HBRNN)
209 health-related community-based question answering | (HCQA)
210 hierarchical Dirichlet process | (HDP)
211 human immunodeficiency virus | (HIV)
212 Hidden Markov Models | (HMM)
213 hidden Markov models | (HMMs)
214 Hierarchy Of Multi-label classifiERs | (HOMER)
215 Human Resource | (HR)
216 hierarchical topic evolution model | (HTEM)
217 Infinite Author Topic | (IAT)
218 InfoBox Editor | (IBE)
219 IBM Natural Language Understanding | (IBM NLU)
220 information content | (IC)
221 International Collaboration for the Automation of Systematic Reviews | (ICASR)
222 International Classification of Diseases | (ICD)
223 Identifying Chemical Entities | (ICE)
224 Integrated Customer Satisfaction Index | (ICSI)
225 intensive care units | (ICUs)
226 Inverse Document Frequency | (IDF)
227 identifiers | (IDs)
228 information extraction | (IE)
229 information filtering | (IF)
230 information filtering systems | (IFs)
231 Integer Linear Programming | (ILP)
232 influence style | (INFUSE)
233 International Patent Classification | (IPC)
234 information retrieval | (IR)
235 Information Retrieval System | (IRS)
236 information systems | (IS)
237 Islamic State of Iraq and Sham | (ISIS)
238 Interactive Visualization | (IV)
239 Iberian Languages Evaluation Forum | (IberLEF)
240 Internet of Things | (IoT)
241 Judging vs Perceiving | (J-P)
242 Jensen-Shannon | (JS)
243 keywords from collective weights | (KCW)
244 knowledge discovery | (KD)
245 kernel density estimation | (KDE)
246 knowledge discovery from texts | (KDTs)
247 Knowledge Engineering | (KE)
248 Keyword Extraction using Collective Node Weight | (KECNW)
249 knowledge graph | (KG)
250 Knowledge Graphs | (KGs)
251 Key Informant Interview | (KII)
252 K-means Non-Negative Matrix Factorization | (KNMF)
253 K-nearest neighbor | (KNN)
254 Literature Based Discovery | (LBD)
255 location-based social network | (LBSN)
256 local-content | (LC)
257 low-cost carriers | (LCCs)
258 Linear Discriminant Analysis | (LDA)
259 Local Distance Neighbor | (LDN)
260 Law Enforcement Agencies | (LEAs)
261 letter frequencies | (LF)
262 Lahore High Court | (LHC)
263 library and Information science | (LIS)
264 Linguistic Inquiry and Word Count | (LIWC)
265 Learning and Management Systems | (LMS)
266 Language Models' | (LMs)
267 Linked Open Data | (LOD)
268 lncRNA and protein interactions | (LPIs)
269 Language Processing Modelling Notation | (LPMN)
270 Logistic Regression | (LR)
271 Least Square-Support Vector Machine | (LS-SVM)
272 latent semantic analysis | (LSA)
273 low semantic content stems | (LSCSs)
274 Latent semantic indexing | (LSI)
275 languages for specific purposes | (LSP)
276 long short termmemory | (LSTM)
277 long short-term memories | (LSTMs)
278 Long Term Memory | (LTM)
279 mean average precision | (MAP)
280 multi-objective binary differential evolution | (MBDE)
281 Myers-Briggs Typology Indicator | (MBTI)
282 multi-channel convolutional neural network | (MC-CNN)
283 multi-criteria decision making | (MCDM)
284 multi-centrality index | (MCI)
285 Markov Clustering | (MCL)
286 Management Discussion and Analysis | (MD&A)
287 Microbe-Disease Knowledge Graph | (MDKG)
288 multi-dimensional subjectivity-lexicon | (MDSL)
289 Mutual Expectation | (ME)
290 Maximum Entropy Markov Models | (MEMM)
291 mutual information | (MI)
292 Maximum Information Coefficient | (MIC)
293 Medical Information Mart for Intensive Care II | (MIMIC II)
294 Machine Learning | (ML)
295 multi-label classifier | (MLC)
296 Mathematical Language Processing | (MLP)
297 Maximum matching and frequency statistics | (MMFS)
298 Multinomial Naive Bayes | (MNB)
299 Mining for Opinion, Event and Timeline Analysis | (MOETA)
300 multi-objective optimization | (MOO)
301 Massive open online courses | (MOOCs)
302 Medicinal Plant Domain | (MPD)
303 Mean Reciprocal Rank | (MRR)
304 Manufacturing Strategy | (MS)
305 multiple sequence alignment | (MSA)
306 MyStarbucksIdea.com | (MSI)
307 multiple source and single target domains | (MSST)
308 machine translation | (MT)
309 Metropolitan Transportation Agency | (MTA)
310 multiword atomic linguistic units | (MWALUs)
311 multiword expression | (MWE)
312 multiword expressions | (MWEs)
313 multiword lexical units | (MWUs)
314 maximum entropy | (MaxEnt)
315 Medical Subject Headings | (MeSH)
316 Medical Subject Headings | (Mesh)
317 multilingual probabilistic topic modeling | (MuPTM)
318 National Aeronautics and Space Administration | (NASA)
319 Naïve Bayesian | (NB)
320 network-based feature association | (NBFA)
321 Nearest Common Kinship | (NCK)
322 named-entity | (NE)
323 Named Entity Disambiguation | (NED)
324 Named entity linking | (NEL)
325 Named Entity Recognition | (NER)
326 Named Entity Recognition and Classification | (NERC)
327 named entities | (NEs)
328 Normalized Google Distance | (NGD)
329 non-parametric joint sentiment topic mixture model | (NJST)
330 natural language | (NL)
331 natural language communications | (NLC)
332 Noisy-free Length Discriminant Analysis | (NLDA)
333 native language identification | (NLI)
334 Natural Language Processing | (NLP)
335 NLP-Modified Token-based Frequencies of Left and Right | (NLP-MTFLR)
336 natural language processing-based structural-equation-modelling | (NLP-SEM)
337 natural language processing algorithms | (NLPS)
338 negative matrix factorization | (NMF)
339 Neural Networks | (NN)
340 noun phrase | (NP)
341 New Psychoactive Substances | (NPS)
342 netting ranked performance evaluation | (NRPE)
343 Noisy-free Relevant Pattern Selection | (NRPS)
344 Note Summarization | (NoteSum)
345 Open Archives Initiative | (OAI)
346 Open Biomedical Ontologies | (OBOs)
347 of CCTM | (OCCTM)
348 One-Class Support Vector Machine | (OCSVM)
349 Open Government Data | (OGD)
350 Online Health Information Seekers | (OHIS)
351 online analytical processing | (OLAP)
352 opinion mining | (OM)
353 out of vocabulary | (OOV)
354 Occupational Safety and Health Administration | (OSHA)
355 Open Source Intelligence | (OSINT)
356 Online Social Network's | (OSN)
357 online social networking sites | (OSNs)
358 open source software | (OSS)
359 Ovarian cancer | (OvCa)
360 Performance appraisal | (PA)
361 Port Authority of NY and NJ | (PANYNJ)
362 Participatory Action Research | (PAR)
363 Peace Be Upon Him | (PBUH)
364 principal component | (PC)
365 Principal Component Analysis | (PCA)
366 paraphrase identification | (PI)
367 Patient Intervention Comparison Outcome | (PICO)
368 Personal Learning Environment | (PLE)
369 precision medicine | (PM)
370 PubMed Central | (PMC)
371 point-wise mutual information | (PMI)
372 Pico-Nym Cloud | (PNC)
373 Prioritized Named Entity driven LDA | (PNE-LDA)
374 probabilistic neural network | (PNN)
375 proper nouns | (PNs)
376 Points of Interests | (POIs)
377 Part-Of-Speech | (POS)
378 protein-protein interactions | (PPI)
379 Protein-Protein Interaction Extraction | (PPIE)
380 Protein-Protein Interaction Method | (PPIM)
381 project partners | (PPs)
382 Pattern Recognition | (PR)
383 pseudo relevance feedback | (PRF)
384 Persuasive Systems Design | (PSD)
385 Particle Swarm Optimization | (PSO)
386 patent technical effect matrix | (PTEM)
387 Punjab University Legal Mining System | (PULMS)
388 Product-User-Review tripartite sEntiment model | (PURE)
389 Question Answering | (QA)
390 question answering system | (QA system)
391 Questions Classification | (QC)
392 Quick Response | (QR)
393 Quantitative Trait Locus | (QTL)
394 Quadratic Weighted Kappa | (QWK)
395 Restricted Boltzmann Machine | (RBM)
396 rule-based reasoning | (RBR)
397 Resources Description Framework | (RDF)
398 Régie du Logement du Québec | (RDL)
399 Relation Extraction | (RE)
400 Random Forest | (RF)
401 Rat Genome Database | (RGD)
402 Random Indexing | (RI)
403 Regularized Latent Semantic Indexing | (RLSI)
404 Recurrent Neural Networks | (RNN)
405 recurrent neural networks | (RNNs)
406 Recall-Oriented Understudy for Gisting Evaluation | (ROUGE)
407 Reference Paper | (RP)
408 Resource Identifier | (RRID)
409 Rhetorical Structure Theory | (RST)
410 Recognizing Textual Entailment | (RTE)
411 Sentimental Analysis | (SA)
412 stacked auto encoder | (SAE)
413 Science and Information | (SAI)
414 Subject-Action-Object | (SAO)
415 severe acute respiratory syndrome coronavirus 2 | (SARS-CoV-2)
416 Software Assurance Technology Center | (SATC)
417 self-admitted technical debt | (SATD)
418 stroke-based cascade n-gram | (SBC n-gram)
419 Selected Binary Feature Combination | (SBFC)
420 syntactic constraints-based bilingual pivoting method | (SCBPM)
421 Science Citation Index | (SCI)
422 supply chain management | (SCM)
423 Symmetric Conditional Probability | (SCP)
424 Statistical Character-Based Syntax Similarity | (SCSS)
425 Spam Detection | (SD)
426 Search Engine | (SE)
427 Semantic Enriched Deep Learning Architecture | (SE-DLA)
428 Stochastic Gradient Descent | (SGD)
429 skip-gram model with negative sampling | (SGNS)
430 swarm intelligence | (SI)
431 Sample Instrument Reagent Objective | (SIRO)
432 Scientific Knowledge Miner | (SKM)
433 self-monitoring | (SM)
434 Sequential Minimal Optimization | (SMO)
435 systematic mapping review | (SMR)
436 Statistical Machine Translation | (SMT)
437 Social Network Analysis | (SNA)
438 sentimental orientations | (SO)
439 Semantic Orientation Calculator | (SO-CAL)
440 semantic orientation inference from pointwise mutual information | (SO-PMI)
441 self-organizing map | (SOM)
442 subject-object-verb | (SOV)
443 SMART Protocols | (SP)
444 Spanish clinical case corpus | (SPACCC)
445 sentiment polarity classification | (SPC)
446 species | (SPE)
447 Systematic reviews | (SR)
448 Semantic Role Labeling | (SRL)
449 semantic similarity based model | (SSBM)
450 Semisupervised learning | (SSL)
451 science, technology, engineering, and medical | (STEM)
452 Synchronous Targeted Feature Reduction | (STFR)
453 Short Term Memory | (STM)
454 short text summarization | (STS)
455 Speech-to-Text | (STT)
456 speech, thought and writing representation | (STWR)
457 Support Vectors | (SV)
458 Singular Value Decomposition | (SVD)
459 Support Vector Machine | (SVM)
460 support vector machine with PSO | (SVM-PSO)
461 subjective well-being | (SWB)
462 SentiWordNet | (SWN)
463 strengths, weaknesses, opportunities and threats | (SWOT)
464 Semantic Web Rule Language | (SWRL)
465 Scientific Workflow Management Systems | (SWfMS)
466 Sentiment Intensity Calculator | (SentI-Cal)
467 Society for Neuroscience | (SfN)
468 sentiment-of-topic | (SoT)
469 text classifications | (TC)
470 traditional Chinese medicine | (TCM)
471 Text clustering problem | (TCP)
472 time delay neural network | (TDNN)
473 Term discrimination vector | (TDV)
474 trajectory equifinality model | (TEM)
475 Term Frequency | (TF)
476 Term Frequency-Inverted Document Frequency | (TF-IDF)
477 Tree Kernels | (TKs)
478 Transfer Learning | (TL)
479 transformer language models | (TLMs)
480 text mining | (TM)
481 text mining based approach | (TMAP)
482 trigram N tag | (TNT)
483 Technology Opportunity Discovery | (TOD)
484 topic-based opinion summary | (TOS)
485 technical and professional communication | (TPC)
486 "Topic Space"" | (TS)"
487 Time-series Service Value Feature Distribution model | (TSVFD)
488 Topic Time Parser | (TTP)
489 Textual Genres Ontology | (TeGO)
490 text-based hidden Markov models | (TextHMMs)
491 United Arab Emirates | (UAE)
492 User-contributed comments | (UCC)
493 user-generated content | (UGC)
494 user interface | (UI)
495 Unstructured Information Management Architecture | (UIMA)
496 Universal Language Model Fine-Tuning | (ULMFiT)
497 Unified Medical Language System | (UMLS)
498 United States of America | (USA)
499 Vehicle Dependability Study | (VDS)
500 Value Features | (VF)
501 voice of customers | (VOC)
502 Verb phrase | (VP)
503 vector space model | (VSM)
504 Vector Similarity RelatedText Extraction | (VSRTE)
505 Variable-step Window Identification Algorithm | (VWIA)
506 visual text analytics tool for semi-structured documents | (ViTA-SSD)
507 weighted principal component analysis | (W-PCA)
508 Waikato Environment for Knowledge Analysis | (WEKA)
509 WordNet-like Lexical Databases | (WLDs)
510 word-sense-disambiguation | (WSD)
511 Weighted service goal model | (WSGM)
512 Work‐saved‐over Sampling | (WSS)
513 West Texas Intermediate | (WTI)
514 Web text mining | (WTM)
515 World Wide Web | (WWW)
516 Bio-relation extraction | (bRE)
517 biological natural language processing | (bioNLP)
518 based tools, such as instant messaging, forums and web logs | (blogs)
519 community question answering | (cQA)
520 dynamic NJST | (dNJST)
521 dependent Chinese restaurant process | (ddCRP)
522 Enhanced Sentiment Analysis and Polarity Classification | (eSAP)
523 electronic word-of-mouth | (eWOM)
524 fuzzy inductive logic programming | (fuzzy ILP)
525 information to the users from the digital machine. However, natural language processing | (i.e. NLP)
526 infinite Hidden Markov Model | (iHMM)
527 interactively and | (ii)
528 identified; | (iii)
529 Long non-coding RNAs | (lncRNAs)
530 mobile commerce | (m-commerce)
531 multiplicative long short-term memory neural networks | (mLSTM)
532 mammographic images retrieval and classification. The system deals with text (structured reports) and images | (mammograms)
533 nested Chinese restaurant process | (nCRP)
534 nested Indian buffet process | (nIBP)
535 Normalized SentiMI | (nSentiMI)
536 nested hierarchical Dirichlet process | (nhDP)
537 resources, all we need is a fair big | (real big)
538 Scientific Text Corpus | (scitex)
539 We draw parallels between NEL and | (wsd)