DE eng

Search in the Catalogues and Directories

Page: 1 2 3
Hits 1 – 20 of 42

1
HIPE-2022 Shared Task Named Entity Datasets ...
BASE
Show details
2
HIPE-2022 Shared Task Named Entity Datasets ...
BASE
Show details
3
HIPE-2022 Shared Task Named Entity Datasets ...
BASE
Show details
4
HIPE-2022 Shared Task Named Entity Datasets ...
BASE
Show details
5
A Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers
In: SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval ; https://hal.archives-ouvertes.fr/hal-03418387 ; SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Jul 2021, Virtual Event, Canada. pp.2328-2334, ⟨10.1145/3404835.3463255⟩ (2021)
BASE
Show details
6
Gado2: multilingual newspapers from the Netherlands Indies ...
Kemper, Simon Carlos. - : Zenodo, 2021
BASE
Show details
7
Gado2: multilingual newspapers from the Netherlands Indies ...
Kemper, Simon Carlos. - : Zenodo, 2021
BASE
Show details
8
Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers ...
BASE
Show details
9
Annotation Guidelines for Named Entity Recognition, Entity Linking and Stance Detection ...
BASE
Show details
10
Gado2: multilingual newspapers from the Netherlands Indies ...
Kemper, Simon Carlos. - : Zenodo, 2021
BASE
Show details
11
Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers ...
BASE
Show details
12
Annotation Guidelines for Named Entity Recognition, Entity Linking and Stance Detection ...
BASE
Show details
13
Gado2: multilingual newspapers from the Netherlands Indies ...
Kemper, Simon Carlos. - : Zenodo, 2021
BASE
Show details
14
MEDDOPROF guidelines ...
BASE
Show details
15
MEDDOPROF guidelines ...
BASE
Show details
16
MEDDOPROF guidelines ...
BASE
Show details
17
Robust Named Entity Recognition and Linking on Historical Multilingual Documents
In: Conference and Labs of the Evaluation Forum (CLEF 2020) ; https://hal.archives-ouvertes.fr/hal-03026969 ; Conference and Labs of the Evaluation Forum (CLEF 2020), Sep 2020, Thessaloniki, Greece. pp.1-17, ⟨10.5281/zenodo.4068074⟩ ; http://ceur-ws.org/Vol-2696/paper_171.pdf (2020)
BASE
Show details
18
Robust Named Entity Recognition and Linking on Historical Multilingual Documents ...
BASE
Show details
19
Robust Named Entity Recognition and Linking on Historical Multilingual Documents ...
BASE
Show details
20
Linking Named Entities across Languages using Multilingual Word Embeddings ...
Abstract: Digital libraries are online collections of digital objects that can include text, images, audio, or videos in several languages. It has long been observed that named entities (NEs) are key to the access to digital library portals as they are contained in most user queries. However, NEs can have different spellings for each language which reduces the performance of user queries to retrieve documents across languages. Cross-lingual named entity linking (XEL) connects NEs from documents in a source language to external knowledge bases in another (target) language. The XEL task is especially challenging due to the diversity of NEs across languages and contexts. This paper describes a XEL system applied and evaluated with several languages pairs including English and various low-resourced languages of different linguistic families such as Croatian, Finnish, Estonian and Slovenian. We tested this approach to analyze documents and NEs in low-resourced languages and link them to the English version of Wikipedia. We ...
Keyword: Cross-Lingual Named Entity Linking; Digital Library; Indexing; Multilingual Word Embeddings
URL: https://dx.doi.org/10.5281/zenodo.3759436
https://zenodo.org/record/3759436
BASE
Hide details

Page: 1 2 3

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
42
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern