DE eng

Search in the Catalogues and Directories

Hits 1 – 16 of 16

1
What do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification ...
Bassignana, Elisa; Plank, Barbara. - : arXiv, 2022
BASE
Show details
2
How Universal is Genre in Universal Dependencies? ...
BASE
Show details
3
On the Effectiveness of Dataset Embeddings in Mono-lingual,Multi-lingual and Zero-shot Conditions ...
BASE
Show details
4
Genre as Weak Supervision for Cross-lingual Dependency Parsing ...
BASE
Show details
5
DaN+: Danish Nested Named Entities and Lexical Normalization ...
BASE
Show details
6
From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding ...
BASE
Show details
7
Psycholinguistics meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering ...
BASE
Show details
8
Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat ...
BASE
Show details
9
Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging ...
Plank, Barbara; Agić, Željko. - : arXiv, 2018
BASE
Show details
10
The Best of Both Worlds: Lexical Resources To Improve Low-Resource Part-of-Speech Tagging ...
Abstract: In natural language processing, the deep learning revolution has shifted the focus from conventional hand-crafted symbolic representations to dense inputs, which are adequate representations learned automatically from corpora. However, particularly when working with low-resource languages, small amounts of symbolic lexical resources such as user-generated lexicons are often available even when gold-standard corpora are not. Such additional linguistic information is though often neglected, and recent neural approaches to cross-lingual tagging typically rely only on word and subword embeddings. While these representations are effective, our recent work has shown clear benefits of combining the best of both worlds: integrating conventional lexical information improves neural cross-lingual part-of-speech (PoS) tagging. However, little is known on how complementary such additional information is, and to what extent improvements depend on the coverage and quality of these external resources. This paper seeks to ... : Under review for Natural Language Engineering ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.1811.08757
https://arxiv.org/abs/1811.08757
BASE
Hide details
11
Bleaching Text: Abstract Features for Cross-lingual Gender Prediction ...
BASE
Show details
12
ALL-IN-1: Short Text Classification with One Model for All Languages ...
Plank, Barbara. - : arXiv, 2017
BASE
Show details
13
Parsing Universal Dependencies without training ...
BASE
Show details
14
Semantic Tagging with Deep Residual Networks ...
BASE
Show details
15
Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss ...
BASE
Show details
16
Keystroke dynamics as signal for shallow syntactic parsing ...
Plank, Barbara. - : arXiv, 2016
BASE
Show details

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
16
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern