• Refine your search:
  • 
    Keyword:
    
    • Natural Language Processing (1.080)
    • Machine Learning (981)
    • Computational Linguistics (841)
    • Machine Learning and Data Mining (827)
    • Language Models (254)
    • Machine translation (109)
    • Information Extraction (73)
    • Neural Network (65)
    • Sentiment Analysis (59)
    • Deep Learning (48)
    •   more
  • 
    Creator / Publisher:
    
    • The 2021 Conference on Empirical Methods in Natural Language Processing 2021 (854)
    • The Pennsylvania State University CiteSeerX Archives (32)
    • The 28th International Conference on Computational Linguistics 2020 (17)
    • NAACL 2021 2021 (10)
    • Cotterell, Ryan (8)
    • Søgaard, Anders (8)
    • Bansal, Mohit (7)
    • Neubig, Graham (7)
    • Peng, Nanyun (7)
    • Ren, Xiang (7)
    •   more
  • 
    Year
  • 
    Medium
  • 
    Type
  • 
    BLLDB-Access

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 Page: 1...47 48 49 50 51 52 53 54 Hits 1.001 – 1.020 of 1.080 1001 Teaching Computational Linguistics ; Challenges and Target Audiences Amaro, Raquel. - : COPEC - Science and Education Research Council, 2016 BASE Show details 1002 Automated Learning of Event Coding Dictionaries for Novel Domains with an Application to Cyberspace Radford, Benjamin James. - 2016 BASE Show details 1003 Short text classification of clinical questions Jindal, Shubham. - : uga, 2016 BASE Show details 1004 On link predictions in complex networks with an application to ontologies and semantics Entrup, Bastian. - : Justus-Liebig-Universität Gießen, 2016. : FB 05 - Sprache, Literatur, Kultur. Germanistik, 2016 BASE Show details 1005 Ensembles of Text and Time-Series Models for Automatic Generation of Financial Trading Signals Bari, Omar Abdul. - : University of Kansas, 2016 BASE Show details 1006 Structured Approaches for Exploring Interpersonal Relationships in Natural Language Text Chaturvedi, Snigdha. - 2016 Abstract: Human relationships have long been studied by scientists from domains like sociology, psychology, literature, etc. for understanding people's desires, goals, actions and expected behaviors. In this dissertation we study inter-personal relationships as expressed in natural language text. Modeling inter-personal relationships from text finds application in general natural language understanding, as well as real-world domains such as social networks, discussion forums, intelligent virtual agents, etc. We propose that the study of relationships should incorporate not only linguistic cues in text, but also the contexts in which these cues appear. Our investigations, backed by empirical evaluation, support this thesis, and demonstrate that the task benefits from using structured models that incorporate both types of information. We present such structured models to address the task of modeling the nature of relationships between any two given characters from a narrative. To begin with, we assume that relationships are of two types: cooperative and non-cooperative. We first describe an approach to jointly infer relationships between all characters in the narrative, and demonstrate how the task of characterizing the relationship between two characters can benefit from including information about their relationships with other characters in the narrative. We next formulate the relationship-modeling problem as a sequence prediction task to acknowledge the evolving nature of human relationships, and demonstrate the need to model the history of a relationship in predicting its evolution. Thereafter, we present a data-driven method to automatically discover various types of relationships such as familial, romantic, hostile, etc. Like before, we address the task of modeling evolving relationships but don't restrict ourselves to two types of relationships. We also demonstrate the need to incorporate not only local historical but also global context while solving this problem. Lastly, we demonstrate a practical application of modeling inter-personal relationships in the domain of online educational discussion forums. Such forums offer opportunities for its users to interact and form deeper relationships. With this view, we address the task of identifying initiation of such deeper relationships between a student and the instructor. Specifically, we analyze contents of the forums to automatically suggest threads to the instructors that require their intervention. By highlighting scenarios that need direct instructor-student interactions, we alleviate the need for the instructor to manually peruse all threads of the forum and also assist students who have limited avenues for communicating with instructors. We do this by incorporating the discourse structure of the thread through latent variables that abstractly represent contents of individual posts and model the flow of information in the thread. Such latent structured models that incorporate the linguistic cues without losing their context can be helpful in other related natural language understanding tasks as well. We demonstrate this by using the model for a very different task: identifying if a stated desire has been fulfilled by the end of a story. Keyword: Computational Linguistics; Computer science; Machine Learning; Natural Language Processing; Relationships; Structured Prediction URL: http://hdl.handle.net/1903/18359 https://doi.org/10.13016/M28Z0S BASE Hide details 1007 Extracting biomedical events from pairs of text entities Liu, Xiao; Bordes, Antoine; Grandvalet, Yves In: ISSN: 1471-2105 ; BMC Bioinformatics ; https://hal.archives-ouvertes.fr/hal-01313324 ; BMC Bioinformatics, BioMed Central, 2015, 16 (Suppl 10), pp.S8. ⟨10.1186/1471-2105-16-S10-S8⟩ ; http://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-16-S10-S8 (2015) BASE Show details 1008 Sentiment Analysis with Incremental Human-in-the-Loop Learning and Lexical Resource Customization Mishra, Shubhanshu; Diesner, Jana; Byrne, Jason. - : ACM Digital Library, 2015 BASE Show details 1009 Guided Probabilistic Topic Models for Agenda-setting and Framing Nguyen, Viet An. - 2015 BASE Show details 1010 PREDICTING MUSIC GENRE PREFERENCES BASED ON ONLINE COMMENTS Sinclair, Andrew J In: Master's Theses (2014) BASE Show details 1011 Entity Information Extraction using Structured and Semi-structured resources ... Unkn Unknown. - : Temple University. Libraries, 2014 BASE Show details 1012 The USAGE review corpus for fine-grained, multi-lingual opinion analysis ... Klinger, Roman. - : Bielefeld University, 2014 BASE Show details 1013 The USAGE review corpus for fine-grained, multi-lingual opinion analysis ... Klinger, Roman. - : Bielefeld University, 2014 BASE Show details 1014 The USAGE review corpus for fine-grained, multi-lingual opinion analysis Klinger, Roman. - : Bielefeld University, 2014 BASE Show details 1015 Deep stochastic sentence generation : resources and strategies Mille, Simon. - : Universitat Pompeu Fabra, 2014 In: TDX (Tesis Doctorals en Xarxa) (2014) BASE Show details 1016 Supervised and semi-supervised statistical models for word-based sentiment analysis ; Überwachte und halbüberwachte statistische Modelle zur wortbasierten Sentimentanalyse Scheible, Christian. - 2014 BASE Show details 1017 Identification of Informativeness in Text using Natural Language Stylometry Shams, Rushdi In: Electronic Thesis and Dissertation Repository (2014) BASE Show details 1018 Analysing discourse and text complexity for learning and collaborating ; L'analyse de la complexité du discours et du texte pour apprendre et collaborer Dascalu, Mihai. - : HAL CCSD, 2013 In: https://tel.archives-ouvertes.fr/tel-00978420 ; Education. Université de Grenoble; Universitatea politehnica (Bucarest), 2013. Français. ⟨NNT : 2013GRENH004⟩ (2013) BASE Show details 1019 Pour une démarche centrée sur l'utilisateur dans les ENT. Apport au Traitement Automatique des Langues. Beust, Pierre. - : HAL CCSD, 2013 In: https://tel.archives-ouvertes.fr/tel-01070522 ; Sciences de l'information et de la communication. Université de Caen, 2013 (2013) BASE Show details 1020 Combining an expert-based medical entity recognizer to a machine-learning system: methods and a case-study Zweigenbaum, Pierre; Lavergne, Thomas; Grabar, Natalia... In: Biomedical Informatics Insights ; https://hal.archives-ouvertes.fr/hal-01972779 ; Biomedical Informatics Insights, 2013, 13p (2013) BASE Show details Page: 1...47 48 49 50 51 52 53 54

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 1.080 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0