Search Results for author: Shigehiko Schamoni

Found 12 papers, 2 papers with code

Ensembling Neural Networks for Improved Prediction and Privacy in Early Diagnosis of Sepsis

1 code implementation1 Sep 2022 Shigehiko Schamoni, Michael Hagmann, Stefan Riezler

Ensembling neural networks is a long-standing technique for improving the generalization error of neural networks by combining networks with orthogonal properties via a committee decision.

On-the-Fly Aligned Data Augmentation for Sequence-to-Sequence ASR

1 code implementation3 Apr 2021 Tsz Kin Lam, Mayumi Ohta, Shigehiko Schamoni, Stefan Riezler

Our method, called Aligned Data Augmentation (ADA) for ASR, replaces transcribed tokens and the speech representations in an aligned manner to generate previously unseen training pairs.

Automatic Speech Recognition Data Augmentation +1

Embedding Meta-Textual Information for Improved Learning to Rank

no code implementations COLING 2020 Toshitaka Kuwa, Shigehiko Schamoni, Stefan Riezler

Neural approaches to learning term embeddings have led to improved computation of similarity and ranking in information retrieval (IR).

Information Retrieval Learning-To-Rank +1

Cascaded Models With Cyclic Feedback For Direct Speech Translation

no code implementations21 Oct 2020 Tsz Kin Lam, Shigehiko Schamoni, Stefan Riezler

Direct speech translation describes a scenario where only speech inputs and corresponding translations are available.

Automatic Speech Recognition Machine Translation +2

Interactive-Predictive Neural Machine Translation through Reinforcement and Imitation

no code implementations WS 2019 Tsz Kin Lam, Shigehiko Schamoni, Stefan Riezler

We propose an interactive-predictive neural machine translation framework for easier model personalization using reinforcement and imitation learning.

Imitation Learning Machine Translation +1

Cross-Lingual Learning-to-Rank with Shared Representations

no code implementations NAACL 2018 Shota Sasaki, Shuo Sun, Shigehiko Schamoni, Kevin Duh, Kentaro Inui

Cross-lingual information retrieval (CLIR) is a document retrieval task where the documents are written in a language different from that of the user{'}s query.

Cross-Lingual Information Retrieval Learning-To-Rank +1

Multimodal Pivots for Image Caption Translation

no code implementations ACL 2016 Julian Hitschler, Shigehiko Schamoni, Stefan Riezler

We present an approach to improve statistical machine translation of image descriptions by multimodal pivots defined in visual space.

Image Retrieval Machine Translation +1

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