| 1 |
The contextual logic
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-03195162 ; 2022 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 2 |
Learning and controlling the source-filter representation of speech with a variational autoencoder
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-03650569 ; 2022 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
Assessing the impact of OCR noise on multilingual event detection over digitised documents
|
|
|
|
In: ISSN: 1432-5012 ; EISSN: 1432-1300 ; International Journal on Digital Libraries ; https://hal.archives-ouvertes.fr/hal-03635985 ; International Journal on Digital Libraries, Springer Verlag, 2022, ⟨10.1007/s00799-022-00325-2⟩ (2022)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Introducing the HIPE 2022 Shared Task: Named Entity Recognition and Linking in Multilingual Historical Documents
|
|
|
|
In: Advances in Information Retrieval. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II ; https://hal.archives-ouvertes.fr/hal-03635971 ; Matthias Hagen; Suzan Verberne; Craig Macdonald; Christin Seifert; Krisztian Balog; Kjetil Nørvåg; Vinay Setty. Advances in Information Retrieval. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II, 13186, Springer International Publishing, pp.347-354, 2022, Lecture Notes in Computer Science, 978-3-030-99738-0. ⟨10.1007/978-3-030-99739-7_44⟩ (2022)
|
|
BASE
|
|
Show details
|
|
|
| 5 |
Can Character-based Language Models Improve Downstream Task Performance in Low-Resource and Noisy Language Scenarios?
|
|
|
|
In: Seventh Workshop on Noisy User-generated Text (W-NUT 2021, colocated with EMNLP 2021) ; https://hal.inria.fr/hal-03527328 ; Seventh Workshop on Noisy User-generated Text (W-NUT 2021, colocated with EMNLP 2021), Jan 2022, punta cana, Dominican Republic ; https://aclanthology.org/2021.wnut-1.47/ (2022)
|
|
BASE
|
|
Show details
|
|
|
| 6 |
Annotation of Morphological Errors in L2 Russian Corpus Analysis
|
|
|
|
In: 21st Annual Second Language Acquisition and Teaching Interdisciplinary Roundtable ; https://hal.archives-ouvertes.fr/hal-03620469 ; 21st Annual Second Language Acquisition and Teaching Interdisciplinary Roundtable, University of Arizona, Feb 2022, Tucson, United States (2022)
|
|
BASE
|
|
Show details
|
|
|
| 7 |
Cross-Situational Learning Towards Robot Grounding
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 8 |
Cross-Situational Learning Towards Robot Grounding
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 9 |
A Methodology for the Comparison of Human Judgments With Metrics for Coreference Resolution
|
|
|
|
In: HumEval at ACL ; https://hal.archives-ouvertes.fr/hal-03650294 ; HumEval at ACL, May 2022, Dublin, Ireland ; https://humeval.github.io/ (2022)
|
|
BASE
|
|
Show details
|
|
|
| 10 |
Can machines learn to see without visual databases?
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-03526569 ; 2022 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 11 |
A comparative study of several parameterizations for speaker recognition ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 12 |
A Neural Pairwise Ranking Model for Readability Assessment ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 13 |
Compiler-Driven Simulation of Reconfigurable Hardware Accelerators ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 14 |
Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 15 |
ClassSPLOM -- A Scatterplot Matrix to Visualize Separation of Multiclass Multidimensional Data ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 16 |
A Deep CNN Architecture with Novel Pooling Layer Applied to Two Sudanese Arabic Sentiment Datasets ...
|
|
|
|
Abstract:
Arabic sentiment analysis has become an important research field in recent years. Initially, work focused on Modern Standard Arabic (MSA), which is the most widely-used form. Since then, work has been carried out on several different dialects, including Egyptian, Levantine and Moroccan. Moreover, a number of datasets have been created to support such work. However, up until now, less work has been carried out on Sudanese Arabic, a dialect which has 32 million speakers. In this paper, two new publicly available datasets are introduced, the 2-Class Sudanese Sentiment Dataset (SudSenti2) and the 3-Class Sudanese Sentiment Dataset (SudSenti3). Furthermore, a CNN architecture, SCM, is proposed, comprising five CNN layers together with a novel pooling layer, MMA, to extract the best features. This SCM+MMA model is applied to SudSenti2 and SudSenti3 with accuracies of 92.75% and 84.39%. Next, the model is compared to other deep learning classifiers and shown to be superior on these new datasets. Finally, the ... : 19 pages, 11 tables, 11 figures ...
|
|
Keyword:
Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
|
|
URL: https://dx.doi.org/10.48550/arxiv.2201.12664
https://arxiv.org/abs/2201.12664
|
|
BASE
|
|
Hide details
|
|
|
| 17 |
Mono vs Multilingual BERT: A Case Study in Hindi and Marathi Named Entity Recognition ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 18 |
Informative Causality Extraction from Medical Literature via Dependency-tree based Patterns ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 19 |
Learning and controlling the source-filter representation of speech with a variational autoencoder ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 20 |
Correcting Misproducted Speech using Spectrogram Inpainting ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|
|
