Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"sentence embedding"”.
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Information Retrieval with Dense and Sparse Representations
… contrastive learning framework for unsupervised sentence embedding and dense retrieval that can effectively capture minor differences in sentences, showcasing improved performance in semantic tasks and retrieval for open-domain question answering. We then address sparse retrieval's limitations by …
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Improving Reader Motivation with Machine Learning
… learning, deep neural networks, and sentence embeddings. This thesis, presented in an integrated-article format, contains three core contributions among its three articles. In the first article, we propose a flexible and insightful approach to coherence estimation. This approach uses …
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Geometries of word embeddings
Real-valued word embeddings have transformed natural language processing (NLP) applications, recognized for their ability to capture linguistic regularities. Popular examples are word2vec, GloVe, GPT and BERT. Both word2vec and GloVe are static whose word representations are independent of its …
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Injecting Inductive Biases into Distributed Representations of Text
… vector representations of text (a.k.a. embeddings), learned by neural networks, encode various (linguistic) knowledge. To encode this knowledge into the embeddings the common approach is to train a large neural network on large corpora. There is, however, a growing concern regarding the …
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Three Essays on Machine Learning in Empirical Finance
… the latest machine learning technologies – the sentence embedding model - by analysing 11.5 million speeches in earnings calls. A better cultural fit is significantly and positively correlated with managerial tenure. I demonstrate that the effect of cultural fit on managerial tenure is causal …
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Advancing Internet Viewpoint Diversity: A Novel Algorithm and a Corpus Creation Tool
… detection algorithm harnesses context-specific sentence embedding features, sentiment features, and topic features. The algorithm's development and refinement are based on the Internet Argument Corpus, compiled by Abbott and his team in 2016. To assess the efficacy of the viewpoint detection …