• Refine your search:
  • 
    Keyword:
    
    • Electrical engineering (7)
    • Computer science (6)
    • Linguistics (2)
    • Computer science and engineering (1)
    • Educational Applications (1)
    • Educational tests & measurements (1)
    • Gender Bias (1)
    • Graph-based Algorithms (1)
    • Lexical Semantics (1)
    • Linguistic Complexity (1)
    •   more
  • 
    Creator / Publisher:
    
    • Ostendorf, Mari (7)
    • Hutchinson, Brian (1)
    • Jaech, Aaron (1)
    • Marin, Marius (1)
    • Medero, Julie (1)
    • Nadeem, Farah (1)
    • Tran, Trang (1)
    • Wu, Wei (1)
  • 
    Year:
    
    • 2020 (2)
    • 2018 (1)
    • 2015 (1)
    • 2014 (1)
    • 2013 (1)
    • 2012 (1)
  • 
    Medium
  • 
    Type
  • 
    BLLDB-Access:
    • free (7)
    • subject to license (0)

Search in the Catalogues and Directories

All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 7 of 7 1 Neural Models for Integrating Prosody in Spoken Language Understanding Tran, Trang. - 2020 BASE Show details 2 Automatic Analysis of Language Use in K-16 STEM Education and Impact on Student Performance Nadeem, Farah. - 2020 BASE Show details 3 Low-Rank RNN Adaptation for Context-Aware Language Modeling Jaech, Aaron. - 2018 BASE Show details 4 Effective Use of Cross-Domain Parsing in Automatic Speech Recognition and Error Detection Marin, Marius. - 2015 BASE Show details 5 Automatic Characterization of Text Difficulty Medero, Julie. - 2014 BASE Show details 6 Rank and Sparsity in Language Processing Hutchinson, Brian. - 2013 BASE Show details 7 Graph-based Algorithms for Lexical Semantics and its Applications Wu, Wei. - 2012 Abstract: Thesis (Ph.D.)--University of Washington, 2012 ; Lexical semantics studies the meaning of words, which is a useful tool for computer-based automatic natural language processing (NLP). This thesis explores graph-based algorithms to learn and apply distributional lexical semantics in NLP applications. One theory of lexical semanticists holds that semantic relations among words can be extracted from their textual context in natural languages. Based on this theory, we propose using graphs to represent natural language text according to the contextual relations of words in higher-level language units (e.g. sentences, definitions or documents). In these graphs, words and/or higher-level language units are represented with nodes, and edges are added between them according to their textual context to indicate their observed relatedness in a dictionary or a collection of documents. We explore two types of graph representations: the word-word graph which is used for modeling the semantic relations among words, and the instance-word bipartite graph which uses words as a medium to study the relatedness among higher-level language units. In this way, we can embed the semantic relations among words and optionally higher-level language units into the graph structure. We design algorithms to propagate semantic information through the graphs in order to recover the unobserved relatedness among words or higher-level language units, which is used in designing unsupervised, semi-supervised or active learning algorithms to reduce human supervision in NLP applications for harvesting or analyzing text data resources. Specifically, we design graph-based algorithms either for quantitatively assessing lexical semantic similarity, or for developing representativeness and diversity criteria for selecting a characteristic subset of terms, which is useful for problems such as keyword summarization and query design for active learning. In particular, we focus on designing graph-based algorithms to apply lexical semantics in three NLP applications, including Wiktionary lexical semantic similarity extraction, Twitter user interest extraction, and active learning for semantic orientation classification. Keyword: Computer science; Electrical engineering; Graph-based Algorithms; Lexical Semantics; NLP; Semantic Similarity; Sentiment Classification; Twitter URL: http://hdl.handle.net/1773/20590 BASE Hide details

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 7 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0