Essays about: "syntactic dependency trees"

Found 5 essays containing the words syntactic dependency trees.

  1. 1. Automatic Pronoun Resolution for Swedish

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Camilla Ahlenius; [2020]
    Keywords : Pronoun resolution; Mitkov’s algorithm; Support Vector Machine; Supervised learning; SVM-Light-TK; Tree kernels; Dependency trees; Word embeddings; Pronomenbestämning; Mitkovs algoritm; Stödvektormaskin; Övervakad inlärning; SVM-Light-TK; Trädkärnor; Dependensträd; Ordvektorer;

    Abstract : This report describes a quantitative analysis performed to compare two different methods on the task of pronoun resolution for Swedish. The first method, an implementation of Mitkov’s algorithm, is a heuristic-based method — meaning that the resolution is determined by a number of manually engineered rules regarding both syntactic and semantic information. READ MORE

  3. 2. Test Case Dependency Detection Using Syntactic Analysis of Code for Test Optimization Purposes

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Rouwayd Hanna; [2020]
    Keywords : ;

    Abstract : It is not possible to develop high quality software for large systems without a rigorous testing process. However, testing tends to be costly and time consuming, which is why research in test optimization has received a great deal of attention. READ MORE

  4. 3. A Detailed Analysis of Semantic Dependency Parsing with Deep Neural Networks

    University essay from Linköpings universitet/Interaktiva och kognitiva system

    Author : Daniel Roxbo; [2019]
    Keywords : Semantic Dependency Parsing; LSTM;

    Abstract : The use of Long Short Term Memory (LSTM) networks continues to yield better results in natural language processing tasks. One area which recently has seen significant improvements is semantic dependency parsing, where the current state-of-the-art model uses a multilayer LSTM combined with an attention-based scoring function to predict the dependencies. READ MORE

  5. 4. 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 system

    Author : Riley Capshaw; [2018]
    Keywords : Natural language processing; NLP; computational linguistics; syntactic dependency trees; semantic dependency graphs; relation classification; relation extraction; artificial intelligence; machine learning; deep learning; neural networks; long short-term memory; LSTM;

    Abstract : 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

  6. 5. Summarizing Product Reviews Using Dynamic Relation Extraction

    University essay from Lunds universitet/Institutionen för datavetenskap

    Author : Mikael Gråborg; Oskar Handmark; [2016]
    Keywords : review analysis; relation extraction; nlp; data mining; machine learning; Technology and Engineering;

    Abstract : The accumulated review data for a single product on Amazon.com could po- tentially take several weeks to examine manually. Computationally extracting the essence of a document is a substantial task, which has been explored pre- viously through many different approaches. READ MORE