Results 71 to 80 of about 6,791 (190)
Fast2Vec, a modified model of FastText that enhances semantic analysis in topic evolution [PDF]
PeerJ Computer ScienceBackground Topic modeling approaches, such as latent Dirichlet allocation (LDA) and its successor, the dynamic topic model (DTM), are widely used to identify specific topics by extracting words with similar frequencies from documents.
Ayu Pertiwi, Azhari Azhari, Sri Mulyana
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Generating Compressed Counterfactual Hard Negative Samples for Graph Contrastive Learning
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Graph contrastive learning (GCL) relies on acquiring high‐quality positive and negative samples to learn the structural semantics of the input graph. Previous approaches typically sampled negative samples from the same training batch or an irrelevant external graph.
Haoran Yang +7 more
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Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18, 2018 Clustering narrow-domain short texts, such as academic abstracts, is an extremely difficult clustering problem. Firstly, short texts lead to low frequency and sparseness of words, making clustering results highly unstable and inaccurate; Secondly, narrow domain leads to great overlapping of insignificant words and makes it hard to distinguish between ...
Changzhou Li +9 more
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Methods in Ecology and Evolution, EarlyView.Abstract Using machine learning models to classify bioacoustic signals of animal species is increasingly important for conservation monitoring because manual expert labelling is time‐consuming and tedious. Monitoring endangered species is particularly challenging because these species are rare, making it difficult to collect the large, representative ...
Ysobel Sims +7 more
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Application Research of BiLSTM in Cross-Site Scripting Detection
Jisuanji kexue yu tansuo, 2020 At present, machine learning methods are used in the most traditional cross-site scripting (XSS) detection technologies, which have some defects, such as bad readability because of maliciously confused code, insufficient feature extraction and low ...
CHENG Qiqin, WAN Liang
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Word and Phrase Translation with word2vec
CoRR, 2017 Word and phrase tables are key inputs to machine translations, but costly to produce. New unsupervised learning methods represent words and phrases in a high-dimensional vector space, and these monolingual embeddings have been shown to encode syntactic and semantic relationships between language elements.
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Toward Incorporation of Relevant Documents in word2vec
CoRR, 2017 Recent advances in neural word embedding provide significant benefit to various information retrieval tasks. However as shown by recent studies, adapting the embedding models for the needs of IR tasks can bring considerable further improvements. The embedding models in general define the term relatedness by exploiting the terms' co-occurrences in short-
Navid Rekabsaz +3 more
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Accounting &Finance, EarlyView.ABSTRACT This study examines the negative effect of earnings pressure (EP) on corporate environmental, social, and governance (ESG) performance and explores governance mechanisms that can address this problem. Drawing on behavioural agency theory and incorporating insights from resource allocation theory and agency theory, this paper identifies the key
Sha Tang +2 more
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Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019 The \em word2vec methodology such as Skip-gram and CBOW has seen significant interest in recent years because of its ability to model semantic notions of word similarity and distances in sentences. A related methodology, referred to as \em doc2vec is also able to embed sentences and paragraphs. These methodologies, however, lead to different embeddings
Suhang Wang +2 more
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How do visual and conceptual factors predict the object content in typical scene drawings?
British Journal of Psychology, EarlyView.Abstract Imagine you draw a typical bedroom, your choice of objects is likely to depend on visual occurrence statistics (i.e. the objects present in previously encountered bedrooms) and semantic relations between objects and scenes (i.e. the semantic relationship between the bedroom and its constituent objects).
Gongting Wang +6 more
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