Using Bilingual Parallel Corpora for Cross-Lingual Textual Entailment

By Yashar Mehdad, Matteo Negri, Marcello Federico. 2011

60 citations recorded by the source corpus.

Subfields: Natural Language Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Natural Language Processing

1. Samuel R. Bowman
2. Graham Neubig
3. Mohit Bansal
4. Luke S. Zettlemoyer
5. Alexis Conneau
6. Sebastian Ruder
7. Kyle Richardson
8. Furu Wei

Citations in the corpus

• XNLI: Evaluating Cross-lingual Sentence Representations (2018, background): “There have also been efforts to build multilingual RTE datasets, either through translating English data (Mehdad et al., 2011), or annotating sentences from a parallel corpora (Negri et al.”
• Baselines and Test Data for Cross-Lingual Inference (2017, background): “Prior to SNLI, there has been work in cross-lingual textual entailment using parallel corpora (Mehdad et al., 2011) and lexical resources (Castillo, 2011), or crowdsourcing for multilingual training data by Negri et al. (2011).”
• OCNLI: Original Chinese Natural Language Inference (2020, background): “Efforts to build comparable datasets for other languages have largely focused on (automatically) translating existing English NLI datasets (Mehdad et al., 2011; Conneau et al., 2018).”