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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 BASE Show 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; Zuping Zhang In: Information ; Volume 9 ; Issue 9 (2018) Abstract: Extractive summarization aims to produce a concise version of a document by extracting information-rich sentences from the original texts. The graph-based model is an effective and efficient approach to rank sentences since it is simple and easy to use. However, its performance depends heavily on good text representation. In this paper, an integrated graph model (iGraph) for extractive text summarization is proposed. An enhanced embedding model is used to detect the inherent semantic properties at the word level, bigram level and trigram level. Words with part-of-speech (POS) tags, bigrams and trigrams were extracted to train the embedding models. Based on the enhanced embedding vectors, the similarity values between the sentences were calculated in three perspectives. The sentences in the document were treated as vertexes and the similarity between them as edges. As a result, three different types of semantic graphs were obtained for every document, with the same nodes and different edges. These three graphs were integrated into one enriched semantic graph in a naive Bayesian fashion. After that, TextRank, which is a graph-based ranking algorithm, was applied to rank the sentences, before the top scored sentences were selected for the summary according to the compression rate. Evaluated on the DUC 2002 and DUC 2004 datasets, our proposed method shows competitive performance compared to the state-of-the-art methods. Keyword: document summarization; graph integration; TextRank; word embedding URL: https://doi.org/10.3390/info9090232 BASE Hide 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

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