3D modeling with silhouettes by Rivers, Alec (Alec Rothmyer)

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Knowledge-based semantic relatedness measure using semantic features by Ali Muttaleb, Hasan, Noorhuzaimi@Karimah, Mohd Noor, Rassem, Taha H., Ahmed Muttaleb, Hasan

“…The semantic knowledge that will be used throughout of this research is extracted from English WordNet 3.1. On the other hand, the evaluation datasets covers the gold standard benchmarks which have been used for evaluating the semantic relatedness measurements and text mining tasks. …”
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Reproducibility dataset for a large experimental survey on word embeddings and ontology-based methods for word similarity by Juan J. Lastra-Díaz, Josu Goikoetxea, Mohamed Ali Hadj Taieb, Ana García-Serrano, Mohamed Ben Aouicha, Eneko Agirre

“…Keywords: Ontology-based semantic similarity measures, Word embedding models, Information content models, WordNet, Experimental survey, HESML, Reprozip…”
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Translating Videos into Synthetic Training Data for Wearable Sensor-Based Activity Recognition Systems Using Residual Deep Convolutional Networks by Vitor Fortes Rey, Kamalveer Kaur Garewal, Paul Lukowicz

“…Thus, for example, ImageNet has images for around 100,000 categories (based on WordNet) with on average 1000 images per category (therefore up to 100,000,000 samples). …”
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BO-LSTM: classifying relations via long short-term memory networks along biomedical ontologies by Andre Lamurias, Diana Sousa, Luka A. Clarke, Francisco M. Couto

“…By using the domain-specific ontology in addition to word embeddings and WordNet, BO-LSTM improved the F1-score of both the detection and classification of drug-drug interactions, particularly in a document set with a limited number of annotations. …”
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Developing a RadLex-Based Named Entity Recognition Tool for Mining Textual Radiology Reports: Development and Performance Evaluation Study by Shintaro Tsuji, Andrew Wen, Naoki Takahashi, Hongjian Zhang, Katsuhiko Ogasawara, Gouqian Jiang

“…MethodsWe leveraged the clinical Text Analysis and Knowledge Extraction System (cTAKES) to develop customized pipelines using both RadLex and SentiWordNet (a general purpose dictionary). We manually annotated 400 radiology reports for compound terms in noun phrases and used them as the gold standard for performance evaluation (precision, recall, and F-measure). …”
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Visual intelligence for online communities : commonsense image retrieval by query expansion by Dai, James Jian, 1982-

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Automated semantic query formulation for Quranic verse translation retrieval by Yauri, Aliyu Rufai

“…Another contribution is the use of ontology equivalent assertions due to the limitations of WordNet for the disambiguation of Islamic-related words. …”
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Automated semantic query formulation for Quranic verse translation retrieval by Yauri, Aliyu Rufai

“…Another contribution is the use of ontology equivalent assertions due to the limitations of WordNet for the disambiguation of Islamic-related words.Finally, an experimental evaluation of AutoSQuR is implemented. …”
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Componential Analysis of English Verbs by Ghazaleh Kazeminejad, Martha Palmer, Susan Windisch Brown, James Pustejovsky

“…Computational lexical resources such as WordNet, PropBank, VerbNet, and FrameNet are in regular use in various NLP applications, assisting in the never-ending quest for richer, more precise semantic representations. …”
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Language Model Guided Knowledge Graph Embeddings by Mirza Mohtashim Alam, Md Rashad Al Hasan Rony, Mojtaba Nayyeri, Karishma Mohiuddin, M. S. T. Mahfuja Akter, Sahar Vahdati, Jens Lehmann

“…Our experimental evaluation on six benchmarks, namely Nations, UMLS, WordNet, and three versions of CodEx confirms the advantage of using pre-trained language models for boosting the accuracy of knowledge graph embedding models. …”
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Semantic relational machine learning model for sentiment analysis using cascade feature selection and heterogeneous classifier ensemble by Anuradha Yenkikar, C. Narendra Babu, D. Jude Hemanth

“…It further uses the efficacy of word2vec-based continuous bag-of-words and n-gram feature extraction in conjunction with SentiWordNet for finding optimal features for classification. …”
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Hybrid fuzzy multi-objective particle swarm optimization for taxonomy extraction by Syafrullah, Mohammad

“…For taxonomy extraction, matching Hearst lexico-syntactic patterns in documents and the web, and hypernym information form WordNet were used as the features that represent each pair of terms from the texts. …”
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A conceptual framework for malay-english mixed-language question answering system by Lim, H. T., Huspi, S. H., Ibrahim, R.

“…Additionally, lack of public resources such as Chunker, POS Tagger, and WordNet for mixed-language, especially for Malay-English, leads to low performance of the translation and classification model. …”
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Construction and improvement of English vocabulary learning model integrating spiking neural network and convolutional long short-term memory algorithm. by Yunxia Wang

“…The training set used in this study is an open data set from the WordNet and Oxford English Corpus data corpora. The model is presented as a computer program and applied to an English learning application program, an online vocabulary learning platform, or a language education software. …”
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Extracting social determinants of health from dental records: feasibility study by Miss Hanna Pethani, Mr Alec Chapman, Dr Mike Conway, Dr Xiang Dai, Ms Demiana Bishay, Mr Victor Choh, Mr Alexander He, Ms Su-Elle Lim, Ms Huey Ying Ng, Ms Tanya Mahony, Associate Professor Albert Yaacoub, Dr Sarvnaz Karimi, Prof Heiko Spallek, Professor Adam Dunn

“…Materials and Methods: We retrospectively examined 100 clinical notes from 112,881 records of patient encounters that included an examination item in the Nepean Local Health District (LHD), with ethics approval from the LHD.To create gold standard annotation for a rule-based natural language processing (NLP) system, we applied expert domain knowledge, WordNet and word2vec embeddings, and the Unified Modelling Language System to identify 20,168 records that were more likely to include SDoH.Of these, we randomly sampled 100 records and 5 dental students annotated them using a schema adapted from the World Health Organization categorisation of SDoH. …”
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UTANG LUAR NEGERI INDONESIA ( Perspektif Ekonomi Politik ) by Viviane Manoppo

“…Nett transferhappens if foreign debt repayment is greater than the number of new debt in eachyear. In other words, net resource transfer is getting higher. Keywords: foreign debt, developing countries,transfer…”
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Automatic Synset Extraction from text documents using a Graph-Based Clustering Approach by Mahsa Khorasani, Behrouz Minaei-Bidgoli, Chakaveh Saedi

“…This frees us from the need for special resources including Word-Nets or dictionaries. The representation model for words of corpus is based on Vector Space model and the most similar words to each are extracted based on common features count (CFC) using a modified cosine similarity measure. …”
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