Essays about: "word embeddings"
Showing result 26 - 30 of 86 essays containing the words word embeddings.
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26. Unsupervised Lexical Semantic Change Detection with Context-Dependent Word Representations
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : In this work, we explore the usefulness of contextualized embeddings from language models on lexical semantic change (LSC) detection. With diachronic corpora spanning two time periods, we construct word embeddings for a selected set of target words, aiming at detecting potential LSC of each target word across time. READ MORE
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27. Clustering Short Texts: Categorizing Initial Utterances from Customer Service Dialogue Agents
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : Text classification involves labeled data, which is not always available, or requires expensive manual labour.User-generated short texts are being produced in abundance in customer service sectors through transcripts of phone calls or chats online. READ MORE
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28. Automatic Question Paraphrasing in Swedish with Deep Generative Models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Paraphrase generation refers to the task of automatically generating a paraphrase given an input sentence or text. Paraphrase generation is a fundamental yet challenging natural language processing (NLP) task and is utilized in a variety of applications such as question answering, information retrieval, conversational systems etc. READ MORE
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29. Readability: Man and Machine : Using readability metrics to predict results from unsupervised sentiment analysis
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Readability metrics assess the ease with which human beings read and understand written texts. With the advent of machine learning techniques that allow computers to also analyse text, this provides an interesting opportunity to investigate whether readability metrics can be used to inform on the ease with which machines understand texts. READ MORE
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30. Interactionwise Semantic Awareness in Visual Relationship Detection
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Visual Relationship Detection (VRD) is a relatively young research area, where the goal is to develop prediction models for detecting the relationships between objects depicted in an image. A relationship is modeled as a subject-predicate-object triplet, where the predicate (e.g an action, a spatial relation, etc. READ MORE