DE eng

Search in the Catalogues and Directories

Hits 1 – 16 of 16

1
Investigating the cross-lingual translatability of VerbNet-style classification [<Journal>]
Majewska, Olga [Verfasser]; Vulić, Ivan [Sonstige]; McCarthy, Diana [Sonstige].
DNB Subject Category Language
Show details
2
A Survey Of Cross-lingual Word Embedding Models ...
BASE
Show details
3
Automatic Selection of Context Configurations for Improved Class-Specific Word Representations ...
Vulić, Ivan; Schwartz, Roy; Rappoport, Ari. - : Apollo - University of Cambridge Repository, 2017
BASE
Show details
4
Cross-lingual syntactically informed distributed word representations ...
Vulic, Ivan. - : Apollo - University of Cambridge Repository, 2017
BASE
Show details
5
Specialising Word Vectors for Lexical Entailment ...
Vulić, Ivan; Mrkšić, Nikola. - : arXiv, 2017
BASE
Show details
6
Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints ...
BASE
Show details
7
Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules ...
BASE
Show details
8
Decoding Sentiment from Distributed Representations of Sentences ...
BASE
Show details
9
Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation ...
Abstract: Existing approaches to automatic VerbNet-style verb classification are heavily dependent on feature engineering and therefore limited to languages with mature NLP pipelines. In this work, we propose a novel cross-lingual transfer method for inducing VerbNets for multiple languages. To the best of our knowledge, this is the first study which demonstrates how the architectures for learning word embeddings can be applied to this challenging syntactic-semantic task. Our method uses cross-lingual translation pairs to tie each of the six target languages into a bilingual vector space with English, jointly specialising the representations to encode the relational information from English VerbNet. A standard clustering algorithm is then run on top of the VerbNet-specialised representations, using vector dimensions as features for learning verb classes. Our results show that the proposed cross-lingual transfer approach sets new state-of-the-art verb classification performance across all six target languages explored ... : EMNLP 2017 (long paper) ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/1707.06945
https://dx.doi.org/10.48550/arxiv.1707.06945
BASE
Hide details
10
Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints ...
Mrkšić, Nikola; Vulić, Ivan; Ó Séaghdha, Diarmuid. - : Apollo - University of Cambridge Repository, 2017
BASE
Show details
11
Morph-fitting: Fine-tuning word vector spaces with simple language-specific rules ...
Vulic, Ivan; Mrkšic, N; Reichart, R. - : Apollo - University of Cambridge Repository, 2017
BASE
Show details
12
Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints
Mrkšić, Nikola; Vulić, Ivan; Ó Séaghdha, Diarmuid. - : Association for Computational Linguistics, 2017. : https://www.transacl.org/ojs/index.php/tacl/article/view/1171, 2017. : Transactions of the Association for Computational Linguistics (TACL), 2017
BASE
Show details
13
Morph-fitting: Fine-tuning word vector spaces with simple language-specific rules
Vulic, Ivan; Mrkšic, N; Reichart, R. - : Association for Computational Linguistics, 2017. : ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers), 2017
BASE
Show details
14
Cross-lingual syntactically informed distributed word representations
Vulic, Ivan. - : Association for Computational Linguistics, 2017. : 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of Conference, 2017
BASE
Show details
15
Automatic Selection of Context Configurations for Improved Class-Specific Word Representations
Rappoport, Ari; Reichart, Roi; Korhonen, Anna-Leena. - : Association for Computational Linguistics, 2017. : https://arxiv.org/pdf/1608.05528.pdf, 2017. : Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017
BASE
Show details
16
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

Catalogues
0
0
0
0
1
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
15
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern