DE eng

Search in the Catalogues and Directories

Page: 1 2 3 4 5...21
Hits 1 – 20 of 405

1
LivingNER corpus: Named entity recognition, normalization & classification of species, pathogens and food ...
BASE
Show details
2
LivingNER corpus: Named entity recognition, normalization & classification of species, pathogens and food ...
BASE
Show details
3
DisTEMIST corpus: detection and normalization of disease mentions in spanish clinical cases ...
BASE
Show details
4
DisTEMIST corpus: detection and normalization of disease mentions in spanish clinical cases ...
BASE
Show details
5
Some Contributions to Interactive Machine Translation and to the Applications of Machine Translation for Historical Documents
Domingo Ballester, Miguel. - : Universitat Politècnica de València, 2022
BASE
Show details
6
Extraction and normalization of simple and structured entities in medical documents ; Extraction et normalisation d'entités simples et structurées dans les documents médicaux
Wajsbürt, Perceval. - : HAL CCSD, 2021
In: https://hal.archives-ouvertes.fr/tel-03624928 ; Document and Text Processing. Sorbonne Université, 2021. English (2021)
BASE
Show details
7
Language Processing in Digital Editions of Russian 18 th Century Texts ; Лингвистическая обработка цифровых изданий русских текстов XVIII века
In: Corpora 2021 International Conference ; https://halshs.archives-ouvertes.fr/halshs-03285725 ; Corpora 2021 International Conference, Saint-Petersburg State University, Jul 2021, Saint-Petersbourg, Russia ; https://events.spbu.ru/events/corpora-2021 (2021)
BASE
Show details
8
Novel Deep Convolutional Neural Network-Based Contextual Recognition of Arabic Handwritten Scripts
BASE
Show details
9
The Problem of Spelling Norms Compliance with the Positional Alternation of "у" and "в" in Modern Scientific Articles of Technical Profile ...
Kunch, Zoriana. - : Zenodo, 2021
BASE
Show details
10
The Problem of Spelling Norms Compliance with the Positional Alternation of "у" and "в" in Modern Scientific Articles of Technical Profile ...
Kunch, Zoriana. - : Zenodo, 2021
BASE
Show details
11
Old Tibetan Corpus and Normalization Grammar ...
BASE
Show details
12
Old Tibetan Corpus and Normalization Grammar ...
BASE
Show details
13
Anàlisi de l'emissió de sèries d'animació japoneses als mitjans de comunicació catalans
BASE
Show details
14
Beyond the Conversation: The Pervasive Danger of Slurs
Moreno Zurita, Alba; Pérez Navarro, Eduardo. - : Publishing House of the Slovak Academy of Sciences, 2021
BASE
Show details
15
Palabras tejidas: método y uso de un tesauro multilingüe de la seda ; Woven words: methodology and use of a silk multilingual thesaurus
BASE
Show details
16
Clinical Term Normalization Using Learned Edit Patterns and Subconcept Matching: System Development and Evaluation
In: Computer Science Faculty Articles (2021)
BASE
Show details
17
Novel Deep Convolutional Neural Network-Based Contextual Recognition of Arabic Handwritten Scripts
BASE
Show details
18
Journaling about progress and errors
In: Proceedings of the Linguistic Society of America; Vol 6, No 2 (2021): PLSA Special Issue – Scholarly Teaching in the Age of COVID and Beyond; 5100 ; 2473-8689 (2021)
BASE
Show details
19
Normalisation of 16th and 17th century texts in French and geographical named entity recognition
In: 4th ACM SIGSPATIAL International Workshop on Geospatial Humanities ; ACM SIGSPATIAL GeoHumanities'20 ; https://hal-upec-upem.archives-ouvertes.fr/hal-02955867 ; ACM SIGSPATIAL GeoHumanities'20, ACM, Nov 2020, Seattle (virtual), United States. pp.28-34, ⟨10.1145/3423337.3429437⟩ ; https://ludovicmoncla.github.io/sigspatial-geohumanities-2020/ (2020)
Abstract: International audience ; Both statistical and rule-based methods for named entity recognition are quite sensitive to the type of language used in the analysed texts. Former studies have shown for example that it was harder to detect named entities in SMS or microblog messages where words are abridged or changed to lowercase. In this article, we focus on old French texts to evaluate the impact of manual and automatic normalization before applying five geographical named entity recognition tools, as well as an improved version of one of them, in order to help building maps displaying the locations mentioned in ancient texts. Our results show that manual normalisation leads to better results for all methods and that automatic normalisation performs differently depending on the tool used to extract geographical named entities, but with a significant improvement on most methods.
Keyword: [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]; CasEN; CoreNLP; digital humanities; geographical named entity recognition; natural language processing; Perdido; SEM; Spacy; text normalization; Unitex
URL: https://hal-upec-upem.archives-ouvertes.fr/hal-02955867/file/KogkitsidouGambette-2020-postprint.pdf
https://doi.org/10.1145/3423337.3429437
https://hal-upec-upem.archives-ouvertes.fr/hal-02955867/document
https://hal-upec-upem.archives-ouvertes.fr/hal-02955867
BASE
Hide details
20
The Delta F method of vocal tract length normalization for vowels
In: LABORATORY PHONOLOGY, vol 11, iss 1 (2020)
BASE
Show details

Page: 1 2 3 4 5...21

Catalogues
20
1
51
0
1
0
0
Bibliographies
175
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
2
0
0
0
Open access documents
225
1
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern