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Dynamic Extension of ASR Lexicon Using Wikipedia Data
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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)
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Categorization of B2B Service Offers: Lessons learnt from the Silex Use case
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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)
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Facing the facts of fake: a distributional semantics and corpus annotation approach
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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)
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84 |
Building and evaluating resources for sentiment analysis in the Greek language
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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)
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Exploration par apprentissage de discussions de personnes en détresse psychologique
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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)
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Unsupervised Creation of Normalisation Dictionaries for Micro-Blogs in Arabic, French and English
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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)
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Unsupervised Creation of Normalization Dictionaries for Micro-Blogs in Arabic, French and English
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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)
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Word Embeddings for Wine Recommender Systems Using Vocabularies of Experts and Consumers
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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)
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A Framework to Understand Emoji Meaning: Similarity and Sense Disambiguation of Emoji using EmojiNet
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In: http://rave.ohiolink.edu/etdc/view?acc_num=wright1547506375922938 (2018)
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A Semi-supervised Corpus Annotation for Saudi Sentiment Analysis Using Twitter
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An Empirical Study of Word Embedding Dimensionality Reduction ...
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An Empirical Study of Word Embedding Dimensionality Reduction ...
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Sparse distributed representations as word embeddings for language understanding
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96 |
The Effect of Data Quantity on Dialog System Input Classification Models ; Datamängdens effekt på modeller för avsiktsklassificering i chattkonversationer
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Bidirectional Recurrent Neural Network Approach for Arabic Named Entity Recognition
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In: Future Internet ; Volume 10 ; Issue 12 (2018)
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Abstract:
Recurrent neural network (RNN) has achieved remarkable success in sequence labeling tasks with memory requirement. RNN can remember previous information of a sequence and can thus be used to solve natural language processing (NLP) tasks. Named entity recognition (NER) is a common task of NLP and can be considered a classification problem. We propose a bidirectional long short-term memory (LSTM) model for this entity recognition task of the Arabic text. The LSTM network can process sequences and relate to each part of it, which makes it useful for the NER task. Moreover, we use pre-trained word embedding to train the inputs that are fed into the LSTM network. The proposed model is evaluated on a popular dataset called &ldquo ; ANERcorp.&rdquo ; Experimental results show that the model with word embedding achieves a high F-score measure of approximately 88.01%.
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Keyword:
Arabic named entity recognition; bidirectional recurrent neural network; GRU; LSTM; natural language processing; word embedding
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URL: https://doi.org/10.3390/fi10120123
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An Integrated Graph Model for Document Summarization
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In: Information ; Volume 9 ; Issue 9 (2018)
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Combining Word Embedding and Knowledge-Based Topic Modeling for Entity Summarization
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In: Computer Science Faculty Publications (2018)
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Παράσταση γλωσσολογικού συναισθηματικού περιεχομένου με χρήση υπολογιστικής νοημοσύνης ...
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