DE eng

Search in the Catalogues and Directories

Page: 1 2
Hits 1 – 20 of 21

1
On cross-lingual retrieval with multilingual text encoders
Litschko, Robert; Vulić, Ivan; Ponzetto, Simone Paolo. - : Springer Science + Business Media, 2022
BASE
Show details
2
On Cross-Lingual Retrieval with Multilingual Text Encoders ...
BASE
Show details
3
Evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval ...
BASE
Show details
4
Evaluating multilingual text encoders for unsupervised cross-lingual retrieval
BASE
Show details
5
AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings ...
BASE
Show details
6
SemEval-2020 Task 2: Predicting Multilingual and Cross-Lingual (Graded) Lexical Entailment ...
BASE
Show details
7
AraWEAT: Multidimensional analysis of biases in Arabic word embeddings
Lauscher, Anne; Takieddin, Rafik; Ponzetto, Simone Paolo. - : Association for Computational Linguistics, 2020
BASE
Show details
8
SemEval-2020 Task 2: Predicting multilingual and cross-lingual (graded) lexical entailment
Glavaš, Goran; Vulić, Ivan; Korhonen, Anna. - : Association for Computational Linguistics, 2020
BASE
Show details
9
SEAGLE: A platform for comparative evaluation of semantic encoders for information retrieval
Schmidt, Fabian David; Dietsche, Markus; Ponzetto, Simone Paolo. - : Association for Computational Linguistics, 2019
BASE
Show details
10
Multilingual and cross-lingual graded lexical entailment
Glavaš, Goran; Vulić, Ivan; Ponzetto, Simone Paolo. - : Association for Computational Linguistics, 2019
BASE
Show details
11
Unsupervised Cross-Lingual Information Retrieval using Monolingual Data Only ...
BASE
Show details
12
A Resource-Light Method for Cross-Lingual Semantic Textual Similarity ...
Abstract: Recognizing semantically similar sentences or paragraphs across languages is beneficial for many tasks, ranging from cross-lingual information retrieval and plagiarism detection to machine translation. Recently proposed methods for predicting cross-lingual semantic similarity of short texts, however, make use of tools and resources (e.g., machine translation systems, syntactic parsers or named entity recognition) that for many languages (or language pairs) do not exist. In contrast, we propose an unsupervised and a very resource-light approach for measuring semantic similarity between texts in different languages. To operate in the bilingual (or multilingual) space, we project continuous word vectors (i.e., word embeddings) from one language to the vector space of the other language via the linear translation model. We then align words according to the similarity of their vectors in the bilingual embedding space and investigate different unsupervised measures of semantic similarity exploiting bilingual ... : Accepted for publication in Knowledge-Based Systems journal ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/1801.06436
https://dx.doi.org/10.48550/arxiv.1801.06436
BASE
Hide details
13
An argument-annotated corpus of scientific publications
Ponzetto, Simone Paolo; Lauscher, Anne; Glavaš, Goran. - : Association for Computational Linguistics, 2018
BASE
Show details
14
Investigating the role of argumentation in the rhetorical analysis of scientific publications with neural multi-task learning models
Ponzetto, Simone Paolo; Eckert, Kai; Lauscher, Anne. - : Association for Computational Linguistics, 2018
BASE
Show details
15
Unsupervised cross-lingual scaling of political texts
Nanni, Federico; Ponzetto, Simone Paolo; Glavaš, Goran. - : Association for Computational Linguistics, 2017
BASE
Show details
16
Cross-lingual classification of topics in political texts
Ponzetto, Simone Paolo; Nanni, Federico; Glavaš, Goran. - : Association for Computational Linguistics (ACL), 2017
BASE
Show details
17
Improving neural knowledge base completion with cross-lingual projections
Klein, Patrick; Glavaš, Goran; Ponzetto, Simone Paolo. - : Association for Computational Linguistics, 2017
BASE
Show details
18
If sentences could see: Investigating visual information for semantic textual similarity
Glavaš, Goran; Vulić, Ivan; Ponzetto, Simone Paolo. - : Association for Computational Linguistics, 2017
BASE
Show details
19
Dual tensor model for detecting asymmetric lexico-semantic relations
Glavaš, Goran; Ponzetto, Simone Paolo. - : Association for Computational Linguistics, 2017
BASE
Show details
20
Unsupervised text segmentation using semantic relatedness graphs
Glavaš, Goran; Nanni, Federico; Ponzetto, Simone Paolo. - : Association for Computational Linguistics, 2016
BASE
Show details

Page: 1 2

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
21
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern