• Refine your search:
  • 
    Keyword
  • 
    Creator / Publisher
  • 
    Year:
    
    • 2018 (24)
  • 
    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 2 Hits 1 – 20 of 24 1 Dynamic Extension of ASR Lexicon Using Wikipedia Data Abdullah, Badr; Illina, Irina; Fohr, Dominique In: IEEE Workshop on Spoken and Language Technology (SLT) ; https://hal.archives-ouvertes.fr/hal-01874495 ; IEEE Workshop on Spoken and Language Technology (SLT), Dec 2018, Athènes, Greece (2018) BASE Show details 2 Categorization of B2B Service Offers: Lessons learnt from the Silex Use case Dhouib, Molka,; Faron Zucker, Catherine; Tettamanzi, Andrea In: 4ème conférence sur les Applications Pratiques de l'Intelligence Artificielle APIA2018 ; https://hal.archives-ouvertes.fr/hal-01830905 ; 4ème conférence sur les Applications Pratiques de l'Intelligence Artificielle APIA2018, Jul 2018, Nancy, France (2018) BASE Show details 3 Facing the facts of fake: a distributional semantics and corpus annotation approach Cappelle, Bert; Denis, Pascal; Keller, Mikaela In: ISSN: 2197-2796 ; Yearbook of the German Cognitive Linguistics Association ; https://hal.archives-ouvertes.fr/hal-01959609 ; Yearbook of the German Cognitive Linguistics Association, De Gruyter, 2018, 6 (9-42) (2018) BASE Show details 4 Building and evaluating resources for sentiment analysis in the Greek language Tsakalidis, Adam; PAPADOPOULOS, Symeon; Voskaki, Rania... In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-03382985 ; Language Resources and Evaluation, Springer Verlag, 2018, 52 (4), pp.1021-1044. ⟨10.1007/s10579-018-9420-4⟩ (2018) BASE Show details 5 Exploration par apprentissage de discussions de personnes en détresse psychologique Kessler, Remy; Béchet, Nicolas; Ledegen, Gudrun... In: 29es Journées Francophones d'Ingénierie des Connaissances, IC 2018 ; https://hal.archives-ouvertes.fr/hal-01839561 ; 29es Journées Francophones d'Ingénierie des Connaissances, IC 2018, Jul 2018, Nancy, France. pp.95-102 ; http://pfia2018.loria.fr/ (2018) BASE Show details 6 Unsupervised Creation of Normalisation Dictionaries for Micro-Blogs in Arabic, French and English HTAIT, Amal; Fournier, Sébastien; Bellot, Patrice In: 19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2018) ; https://hal.archives-ouvertes.fr/hal-01795348 ; 19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2018), Mar 2018, Hanoi, Vietnam (2018) BASE Show details 7 Unsupervised Creation of Normalization Dictionaries for Micro-Blogs in Arabic, French and English HTAIT, Amal; Fournier, Sébastien; Bellot, Patrice In: ISSN: 1405-5546 ; EISSN: 2007-9737 ; Computación y sistemas ; https://hal.archives-ouvertes.fr/hal-01958675 ; Computación y sistemas, Instituto Politécnico Nacional IPN Centro de Investigación en Computación, 2018, 19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2018), 22 (3), pp.729-737. ⟨10.13053/CyS-22-3-3034⟩ ; https://www.cys.cic.ipn.mx/ojs/index.php/CyS/article/view/3034/2514 (2018) BASE Show details 8 Word Embeddings for Wine Recommender Systems Using Vocabularies of Experts and Consumers Cruz, Christophe; Nguyen Van, Cyril; Gautier, Laurent In: ISSN: 2199-188X ; Open Journal of Web Technologies ; https://halshs.archives-ouvertes.fr/halshs-01872273 ; Open Journal of Web Technologies, RonPub, 2018, Special Issue: Proceedings of the International Workshop on Web Data Processing & Reasoning (WDPAR 2018) in conjunction with the 41st German Conference on Artificial Intelligence, 5 (1), pp.23-30 ; https://www.ronpub.com/ojwt/OJWT_2018v5i1n04_Cruz.html (2018) BASE Show details 9 Semantic Analysis using Wikipedia Graph Structure Sajadi, Armin. - 2018 BASE Show details 10 Word Embeddings for Domain Specific Semantic Relatedness Tilbury, Kyle. - 2018 BASE Show details 11 A Framework to Understand Emoji Meaning: Similarity and Sense Disambiguation of Emoji using EmojiNet Wijeratne, Sanjaya In: http://rave.ohiolink.edu/etdc/view?acc_num=wright1547506375922938 (2018) BASE Show details 12 A Semi-supervised Corpus Annotation for Saudi Sentiment Analysis Using Twitter Alqarafi, Abdulrahman; Adeel, Ahsan; Hawalah, Ahmed. - : Springer, 2018 BASE Show details 13 An Empirical Study of Word Embedding Dimensionality Reduction ... Ji, Yichao. - : Zenodo, 2018 BASE Show details 14 An Empirical Study of Word Embedding Dimensionality Reduction ... Ji, Yichao. - : Zenodo, 2018 BASE Show details 15 Sparse distributed representations as word embeddings for language understanding Silva, André de Vasconcelos Santos. - 2018 BASE Show details 16 The Effect of Data Quantity on Dialog System Input Classification Models ; Datamängdens effekt på modeller för avsiktsklassificering i chattkonversationer Lipecki, Johan; Lundén, Viggo. - : KTH, Hälsoinformatik och logistik, 2018 Abstract: This paper researches how different amounts of data affect different word vector models for classification of dialog system user input. A hypothesis is tested that there is a data threshold for dense vector models to reach the state-of-the-art performance that have been shown with recent research, and that character-level n-gram word-vector classifiers are especially suited for Swedish classifiers–because of compounding and the character-level n-gram model ability to vectorize out-of-vocabulary words. Also, a second hypothesis is put forward that models trained with single statements are more suitable for chat user input classification than models trained with full conversations. The results are not able to support neither of our hypotheses but show that sparse vector models perform very well on the binary classification tasks used. Further, the results show that 799,544 words of data is insufficient for training dense vector models but that training the models with full conversations is sufficient for single statement classification as the single-statement- trained models do not show any improvement in classifying single statements. ; Detta arbete undersöker hur olika datamängder påverkar olika slags ordvektormodeller för klassificering av indata till dialogsystem. Hypotesen att det finns ett tröskelvärde för träningsdatamängden där täta ordvektormodeller när den högsta moderna utvecklingsnivån samt att n-gram-ordvektor-klassificerare med bokstavs-noggrannhet lämpar sig särskilt väl för svenska klassificerare söks bevisas med stöd i att sammansättningar är särskilt produktiva i svenskan och att bokstavs-noggrannhet i modellerna gör att tidigare osedda ord kan klassificeras. Dessutom utvärderas hypotesen att klassificerare som tränas med enkla påståenden är bättre lämpade att klassificera indata i chattkonversationer än klassificerare som tränats med hela chattkonversationer. Resultaten stödjer ingendera hypotes utan visar istället att glesa vektormodeller presterar väldigt väl i de genomförda klassificeringstesterna. Utöver detta visar resultaten att datamängden 799 544 ord inte räcker till för att träna täta ordvektormodeller väl men att konversationer räcker gott och väl för att träna modeller för klassificering av frågor och påståenden i chattkonversationer, detta eftersom de modeller som tränats med användarindata, påstående för påstående, snarare än hela chattkonversationer, inte resulterar i bättre klassificerare för chattpåståenden. Keyword: Chatbot; Chattbot; Chatterbot; Dialog System; Dialogsystem; Language Technology (Computational Linguistics); Natural Language Understanding; Naturlig språkbehandling; Ordinbäddning; Ordvektormodeller; Språkteknologi (språkvetenskaplig databehandling); Text Classification; Textklassificering; Virtual Assistant; Virtuell Assistent; Word Embedding; Word Vector Models URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-237282 BASE Hide details 17 Bidirectional Recurrent Neural Network Approach for Arabic Named Entity Recognition Mohammed N. A. Ali; Guanzheng Tan; Aamir Hussain In: Future Internet ; Volume 10 ; Issue 12 (2018) BASE Show details 18 An Integrated Graph Model for Document Summarization Kang Yang; Kamal Al-Sabahi; Yanmin Xiang... In: Information ; Volume 9 ; Issue 9 (2018) BASE Show details 19 Combining Word Embedding and Knowledge-Based Topic Modeling for Entity Summarization Pouriyeh, Seyedamin; Allahyari, Mehdi; Kochut, Krys... In: Computer Science Faculty Publications (2018) BASE Show details 20 Παράσταση γλωσσολογικού συναισθηματικού περιεχομένου με χρήση υπολογιστικής νοημοσύνης ... Μαγιώνας, Οδυσσέας Σ.. - : Aristotle University of Thessaloniki, 2018 BASE Show details Page: 1 2

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