1 |
Document Domain Randomization for Deep Learning Document Layout Extraction
|
|
|
|
In: Proceedings of the 16th International Conference on Document Analysis and Recognition (ICDAR, September 5--10, Lausanne, Switzerland) ; https://hal.inria.fr/hal-03336444 ; Proceedings of the 16th International Conference on Document Analysis and Recognition (ICDAR, September 5--10, Lausanne, Switzerland), Sep 2021, Lausanne, Switzerland. pp.497-513, ⟨10.1007/978-3-030-86549-8_32⟩ (2021)
|
|
BASE
|
|
Show details
|
|
2 |
Document Domain Randomization for Deep Learning Document Layout Extraction ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
A Neural Network-Based Linguistic Similarity Measure for Entrainment in Conversations ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Extractive Research Slide Generation Using Windowed Labeling Ranking ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Additional file 3 of Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
Additional file 3 of Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models ...
|
|
|
|
BASE
|
|
Show details
|
|
7 |
Audio-visual Recognition of Overlapped speech for the LRS2 dataset ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Dealing with incomplete information in linguistic group decision making by means of Interval Type‐2 Fuzzy Sets
|
|
|
|
In: ISSN: 0884-8173 ; EISSN: 1098-111X ; International Journal of Intelligent Systems ; https://www.hal.inserm.fr/inserm-03026626 ; International Journal of Intelligent Systems, Wiley, 2019, 34 (6), pp.1261-1280. ⟨10.1002/int.22095⟩ (2019)
|
|
BASE
|
|
Show details
|
|
9 |
Additional file 1: of Prevalence and risk factors of active pulmonary tuberculosis among elderly people in China: a population based cross-sectional study ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Additional file 1: of Prevalence and risk factors of active pulmonary tuberculosis among elderly people in China: a population based cross-sectional study ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Dealing with Incomplete Information in Linguistic Group Decision Making by Means of Interval Type-2 Fuzzy Sets
|
|
|
|
BASE
|
|
Show details
|
|
12 |
An interaction consensus in group decision making under distributed trust information
|
|
|
|
BASE
|
|
Show details
|
|
13 |
A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Tibetan Trisyllabic Light Verb Construction Recognition
|
|
|
|
In: Zhao, Weina; Li, Lin; Liu, Huidan; & Wu, Jian. (2016). Tibetan Trisyllabic Light Verb Construction Recognition. Himalayan Linguistics, 15(1). doi:10.5070/H915130102. Retrieved from: http://www.escholarship.org/uc/item/2226c4k2 (2016)
|
|
Abstract:
The Tibetan trisyllabic light verb construction is a type of widely used verb phrase that is composed of a disyllabic noun or adjective and a light verb. A large number of Tibetan trisyllabic light verb constructions are widely found in Tibetan. Successfully recognizing this type of phrase greatly contributes to Tibetan information processing, however, thorough and systematic academic research in this field has not yet been launched. Therefore, we propose a model for the recognition of Tibetan trisyllabic light verb constructions based on an integrated strategy in this paper. Firstly, we extract all trisyllabic light verb construction candidates from a Tibetan corpus. In this step, light verbs are used as retrieval marks. Secondly, we filter candidates using a statistics-based model, rule-based model, and integrated model separately. Experimental results show that the integrated model performs much better than the other strategies, which proves that linguistic features contribute a lot to the automatic recognition of Tibetan trisyllabic light verb constructions by computers.
|
|
Keyword:
light verbs; NLP; Tibetan
|
|
URL: http://www.escholarship.org/uc/item/2226c4k2
|
|
BASE
|
|
Hide details
|
|
15 |
A Chinese to Tibetan Machine Translation System with Multiple Translating Strategies
|
|
|
|
In: Liu, Huidan; Zhao, Weina; Yu, Xin; & Wu, Jian. (2016). A Chinese to Tibetan Machine Translation System with Multiple Translating Strategies. Himalayan Linguistics, 15(1). doi:10.5070/H915130103. Retrieved from: http://www.escholarship.org/uc/item/6kz2v0g3 (2016)
|
|
BASE
|
|
Show details
|
|
16 |
Trust Based Consensus Model for Social Network in an Incomplete Linguistic Information Context
|
|
|
|
BASE
|
|
Show details
|
|
18 |
Visual consensus feedback mechanism for group decision making with complementary linguistic preference relations
|
|
|
|
BASE
|
|
Show details
|
|
19 |
Consistency based estimation of fuzzy linguistic preferences. The case of reciprocal intuitionistic fuzzy preference relations
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Automatic Identification of Research Articles from Crawled Documents
|
|
|
|
In: Seventh International Conference on Web Search and Data Mining, February 24-28, 2014, New York City, New York. (2014)
|
|
BASE
|
|
Show details
|
|
|
|