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Artur Kulmizev, Miryam de Lhoneux, Johannes Gontrum, Elena Fano, Joakim Nivre. Proceedings of the 2019 Conference on Empirical Methods in Natural Language... word embeddingsdependency parsingdeeptransitionbased https://ijece.iaescore.com/index.php/IJECE/article/view/28408 Enhanced sentiment analysis based on improved word embeddings and XGboost | Samih | International... Enhanced sentiment analysis based on improved word embeddings and XGboost sentiment analysisbased onword embeddingsenhancedimproved https://bytez.com/docs/arxiv/1811.03514/paper Deep Neural Networks for Query Expansion using Word Embeddings | Read Paper on Bytez Nov 8, 2018 - Query expansion is a method for alleviating the vocabulary mismatch problem present in information retrieval tasks. Previous works have shown that terms... deep neural networksquery expansionword embeddingsread paperusing https://lrec.elra.info/lrec2018-main-240 Evaluation of Croatian Word Embeddings - LREC 2018 | LREC - Language Resources and Evaluation... May 1, 2018 - Croatian is poorly resourced and highly inflected language from Slavic language family. Nowadays, research is focusing mostly on English. We created a new word word embeddingslanguage resourcesevaluationcroatianlrec https://carpentries-incubator.github.io/python-text-analysis/instructor/07-wordEmbed_intro.html Text Analysis in Python: Intro to Word Embeddings text analysisword embeddingspythonintro https://jmlr.org/papers/v22/20-1413.html Further results on latent discourse models and word embeddings word embeddingsresultslatentdiscoursemodels https://www.clarin.si/repository/xmlui/handle/11356/1790 Word embeddings CLARIN.SI-embed.hr 2.0 word embeddingsclarinsihr https://jaytaylor.com/notes/node/1473721611000.html FastText and Gensim word embeddings | RaRe Technologies - Jay Taylor's notes word embeddingsjay taylorraretechnologiesnotes https://www.amazon.science/publications/finlex-an-effective-use-of-word-embeddings-for-financial-lexicon-generation FinLex: An effective use of word embeddings for financial lexicon generation - Amazon Science We present a simple and effective methodology for the generation of lexicons (word lists) that may be used in natural language scoring applications. 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Tagged with deeplearning, python, nlp, learning. what areword embeddingsdev community https://research.universityofgalway.ie/en/publications/nuig-at-tiad-2021-cross-lingual-word-embeddings-for-translation-i-2/ NUIG at TIAD 2021: Cross-lingual Word Embeddings for Translation Inference - University of Galway university of galwayword embeddingsfor translationcrossinference https://www.ixa.eus/node/12760?language=eu Multilingual segmentation based on neural networks and pre-trained word embeddings | Ixa taldea based onneural networksword embeddingsmultilingualsegmentation https://webthesis.biblio.polito.it/28495/?template=default Methods and Measures for bias detection in natural language processing: A study on word embeddings... natural language processingword embeddingsmethodsmeasuresbias https://www.gsi.upm.es/en/component/jresearch/?view=publication&task=show&id=536 Publication - Semantic Similarity and Word Embeddings for Multilingual Detection of Hate Speech... word embeddingshate speechpublicationsemanticsimilarity https://www.student-notes.net/practical-nlp-techniques-word-embeddings-transformers-and-chatbots/ Practical NLP Techniques: Word Embeddings, Transformers, and Chatbots - Student Notes | Student... nlp techniquesword embeddingspracticaltransformerschatbots https://eraw.easychair.org/publications/preprint/FJkg Unsupervised Cross-lingual Word Embeddings Based on Subword Alignment word embeddingsbased onunsupervisedcrossalignment https://lore.list.lu/dataset.xhtml?persistentId=perma:LIST.DCOXHJ Deep learning in law: early adaptation and legal word embeddings trained on large corpora [*... Dec 9, 2025 - Deep Learning has been widely used for tackling challenging natural language processing tasks over the recent years. 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Discover promotional tools and materials to help you... best marketing booksword embeddingscongratulationscrossmade https://papers.nips.cc/paper_files/paper/2016/hash/c24cd76e1ce41366a4bbe8a49b02a028-Abstract.html Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images word embeddingslarge scaletrainingevaluatingmultimodal https://www.amrita.edu/publication/finding-the-duplicate-questions-in-stack-overflow-using-word-embeddings/ Finding the Duplicate Questions in Stack Overflow using Word Embeddings - Amrita Vishwa Vidyapeetham amrita vishwa vidyapeethamstack overflowword embeddingsfindingduplicate https://collaborate.umb.edu/en/publications/word-embeddings-also-encode-human-personality-stereotypes/ Word embeddings (also) encode human personality stereotypes - University of Massachusetts Boston university of massachusettsword embeddingsalsoencodehuman https://tldr.takara.ai/p/2505.18651 On the Emergence of Linear Analogies in Word Embeddings | Takara TLDR Models such as Word2Vec and GloVe construct word embeddings based on the co-occurrence probability $P(i,j)$ of words $i$ and $j$ in text corpora. The resulti... on theword embeddingsemergencelinearanalogies https://huggingface.co/papers/2409.18193 Paper page - LowREm: A Repository of Word Embeddings for 87 Low-Resource Languages Enhanced with... Join the discussion on this paper page a repositoryword embeddingspaperlowresource https://researchwith.montclair.edu/en/publications/automatic-idiom-recognition-with-word-embeddings/fingerprints/?sortBy=alphabetically Automatic idiom recognition with word embeddings - Fingerprint - Montclair State University montclair state universityword embeddingsautomaticidiomrecognition https://deepai.org/publication/dissecting-contextual-word-embeddings-architecture-and-representation Dissecting Contextual Word Embeddings: Architecture and Representation | DeepAI Aug 27, 2018 - 08/27/18 - Contextual word representations derived from pre-trained bidirectional language models (biLMs) have recently been shown to provide... word embeddingscontextualarchitecturerepresentationdeepai https://rdrr.io/github/zieglerjef/openEnded/man/createWordEmbeddings.html createWordEmbeddings: Create Word Embeddings in zieglerjef/openEnded: Tools for Implementing and... Generate comparison between the prompt and participants' responses in a latent word2vec space. word embeddingscreatetoolsimplementing https://underline.io/lecture/5682-improving-word-embeddings-through-iterative-refinement-of-word-and-character-level-models Improving Word Embeddings through Iterative Refinement of Word- and Character-level Models |... 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We will cover two-word embeddings in NLP: Word2vec and GloVe. word embeddingsnlp https://logicballs.com/glossary/word-embeddings Word Embeddings | Welcome to the AI Glossary Word embeddings are a type of word representation that allows words to be represented as vectors in a continuous vector space. word embeddingswelcome toai glossary https://madoc.bib.uni-mannheim.de/61673/ Identifying biases in politically biased Wikis through word embeddings - MADOC word embeddingsidentifyingbiasesbiasedwikis https://researchrepository.ul.ie/entities/publication/fd64a6b7-52ca-4d59-880b-05f6f21c12b9 Pretrained transformer language models versus pretrained word embeddings for the detection of... Background: In recent years, social media has become a major channel for health-related information in Saudi Arabia. Prior health informatics studies have... language modelsword embeddingsfor thetransformerversus https://researchconnect.buffalo.edu/en/publications/interpretable-word-embeddings-for-medical-domain/ Interpretable Word Embeddings for Medical Domain - SUNY University at Buffalo university at buffaloword embeddingsfor medicaldomainsuny https://slogix.in/machine-learning/text-sentiment-classification-of-amazon-reviews-using-word-embeddings-and-convolutional-neural-networks/ Classification of Amazon reviews using word embeddings | S-Logix Masters and PhD Research Paper On Text sentiment classification of Amazon reviews using word embeddings and convolutional neural networks amazon reviewsword embeddingsclassificationusinglogix