Essays about: "computational linguistics"
Showing result 11 - 15 of 28 essays containing the words computational linguistics.
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11. Using Machine Learning to Understand Text for Pharmacovigilance: A Systematic Review
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Background: Pharmacovigilance is a science that involves the ongoing monitoring of adverse drug reactions of existing medicines. Its primary purpose is to sustain and improve public health. READ MORE
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12. A comparative study of the grammatical gender systems of languages by means of analysing word embeddings
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : The creation of word embeddings is one of the key breakthroughs in natural language processing. Word embeddings allow for words to be represented semantically, opening the way to many new deep learning methods. READ MORE
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13. The effect of noise in the training of convolutional neural networks for text summarisation
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : In this thesis, we work towards bridging the gap between two distinct areas: noisy text handling and text summarisation. The overall goal of the paper is to examine the effects of noise in the training of convolutional neural networks for text summarisation, with a view to understanding how to effectively create a noise-robust text-summarisation system. READ MORE
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14. Categorization of conversational games in free dialogue referring to spatial scenes
University essay from Göteborgs universitet/Institutionen för filosofi, lingvistik och vetenskapsteoriAbstract : This thesis examines which communicative strategies speakers use to complete a given task regarding spatial scenes, and how to systematically categorize them as conversational games. This study expands a free dialogue Cups corpus in Swedish (Dobnik et al. READ MORE
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15. Relation Classification using Semantically-Enhanced Syntactic Dependency Paths : Combining Semantic and Syntactic Dependencies for Relation Classification using Long Short-Term Memory Networks
University essay from Linköpings universitet/Interaktiva och kognitiva systemAbstract : Many approaches to solving tasks in the field of Natural Language Processing (NLP) use syntactic dependency trees (SDTs) as a feature to represent the latent nonlinear structure within sentences. Recently, work in parsing sentences to graph-based structures which encode semantic relationships between words—called semantic dependency graphs (SDGs)—has gained interest. READ MORE