| 1 |
Delexicalized Word Embeddings for Cross-lingual Dependency Parsing
|
|
|
|
In: EACL ; https://hal.inria.fr/hal-01590639 ; EACL, Apr 2017, Valencia, Spain. pp.241 - 250, ⟨10.18653/v1/E17-1023⟩ ; http://eacl2017.org/ (2017)
|
|
BASE
|
|
Show details
|
|
|
| 2 |
IRISA at DeFT2017 : classification systems of increasing complexity ; Participation de l'IRISA à DeFT2017 : systèmes de classification de complexité croissante
|
|
|
|
In: DeFT 2017 - Défi Fouille de texte ; https://hal.archives-ouvertes.fr/hal-01643993 ; DeFT 2017 - Défi Fouille de texte, Jun 2017, Orléans, France. pp.1-10 (2017)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
Invariance: a Theoretical Approach for Coding Sets of Words Modulo Literal (Anti)Morphisms
|
|
|
|
In: Springer, LNCS. ; https://hal-normandie-univ.archives-ouvertes.fr/hal-02117030 ; Springer, LNCS., 2017, pp.214-227 (2017)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Things and Strings and More: Improving Place Name Disambiguation from Short Texts by Combining Entity Co-Occurrence, Topic Modeling, and Word Embedding
|
|
Ju, Yiting. - : eScholarship, University of California, 2017
|
|
In: Ju, Yiting. (2017). Things and Strings and More: Improving Place Name Disambiguation from Short Texts by Combining Entity Co-Occurrence, Topic Modeling, and Word Embedding. 0035: Geography. Retrieved from: http://www.escholarship.org/uc/item/4w60s702 (2017)
|
|
BASE
|
|
Show details
|
|
|
| 5 |
An empirical study of the Algerian dialect of Social network
|
|
|
|
In: ICNLSSP 2017 - International Conference on Natural Language, Signal and Speech Processing ; https://hal.inria.fr/hal-01659997 ; ICNLSSP 2017 - International Conference on Natural Language, Signal and Speech Processing, Dec 2017, Casablanca, Morocco ; http://icnlssp.isga.ma (2017)
|
|
BASE
|
|
Show details
|
|
|
| 7 |
Linguistic Knowledge Transfer for Enriching Vector Representations
|
|
|
|
In: http://rave.ohiolink.edu/etdc/view?acc_num=osu1500571436042414 (2017)
|
|
BASE
|
|
Show details
|
|
|
| 9 |
Word Embedding of Amazon Product Review Corpus ...
|
|
|
|
Abstract:
A word embedding of the Amazon Product Review Corpus (Jindal and Liu, 2008). Created using Word2Vec in CBOW mode, 500 dimensions and window size 5. Words have been lemmatised and particle verbs have been merged into a single token (e.g. calm_down ). Attribution This dataset was created as part of the following publication: Marc Schulder, Michael Wiegand, Josef Ruppenhofer and Benjamin Roth (2017). "Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features" . Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP). Taipei, Taiwan, November 27 - December 3, 2017. DOI: 10.5281/zenodo.3365609. If you use the data in your research or work, please cite the publication. ... : {"references": ["Jindal, Nitin and Bing Liu (2008). \"Opinion Spam and Analysis.\" In: Proceedings of the International Conference on Web Search and Data Mining (WSDM). Palo Alto, California, USA: Association for Com- puting Machinery, pp. 219\u2013230. isbn: 978-1-59593-927-2. doi: 10. 1145/1341531.1341560"]} ...
|
|
Keyword:
Product Reviews; Word Embedding
|
|
URL: https://dx.doi.org/10.5281/zenodo.3370051
https://zenodo.org/record/3370051
|
|
BASE
|
|
Hide details
|
|
|
| 11 |
Induction de lexiques bilingues à partir de corpus comparables et parallèles
|
|
|
|
BASE
|
|
Show details
|
|
|
|
|
