Search Results for author: Mikhail Fain

Found 4 papers, 0 papers with code

Evaluation of Field-Aware Neural Ranking Models for Recipe Search

no code implementations12 May 2021 Kentaro Takiguchi, Mikhail Fain, Niall Twomey, Luis M Vaquero

Although this requires the specification of bespoke task-dependent models, encouraging empirical results are beginning to emerge.

Document Embedding feature selection +1

Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora

no code implementations11 May 2021 Mikhail Fain, Niall Twomey, Danushka Bollegala

Cross-lingual text representations have gained popularity lately and act as the backbone of many tasks such as unsupervised machine translation and cross-lingual information retrieval, to name a few.

Cross-Lingual Information Retrieval Retrieval +2

Towards Multi-Language Recipe Personalisation and Recommendation

no code implementations27 Jul 2020 Niall Twomey, Mikhail Fain, Andrey Ponikar, Nadine Sarraf

Our results are presented in a language-oriented (as opposed to model-oriented) fashion to emphasise the language-based goals of this work.

Information Retrieval Retrieval

Dividing and Conquering Cross-Modal Recipe Retrieval: from Nearest Neighbours Baselines to SoTA

no code implementations28 Nov 2019 Mikhail Fain, Niall Twomey, Andrey Ponikar, Ryan Fox, Danushka Bollegala

We also use our method for comparing image and text encoders trained using different modern approaches, thus addressing the issues hindering the development of novel methods for cross-modal recipe retrieval.

Cross-Modal Retrieval Retrieval

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