Search Results for author: Amit Moryossef

Found 11 papers, 2 papers with code

cofga: A Dataset for Fine Grained Classification of Objects from Aerial Imagery

no code implementations26 May 2021 Eran Dahan, Tzvi Diskin, Amit Amram, Amit Moryossef, Omer Koren

Detection and classification of objects in overhead images are two important and challenging problems in computer vision.

14 Classification

Data Augmentation for Sign Language Gloss Translation

no code implementations MTSummit 2021 Amit Moryossef, Kayo Yin, Graham Neubig, Yoav Goldberg

Sign language translation (SLT) is often decomposed into video-to-gloss recognition and gloss-to-text translation, where a gloss is a sequence of transcribed spoken-language words in the order in which they are signed.

Data Augmentation Low-Resource Neural Machine Translation +2

Including Signed Languages in Natural Language Processing

no code implementations ACL 2021 Kayo Yin, Amit Moryossef, Julie Hochgesang, Yoav Goldberg, Malihe Alikhani

Signed languages are the primary means of communication for many deaf and hard of hearing individuals.

Real-Time Sign Language Detection using Human Pose Estimation

no code implementations11 Aug 2020 Amit Moryossef, Ioannis Tsochantaridis, Roee Aharoni, Sarah Ebling, Srini Narayanan

We propose a lightweight real-time sign language detection model, as we identify the need for such a case in videoconferencing.

Optical Flow Estimation Pose Estimation

At Your Fingertips: Automatic Piano Fingering Detection

no code implementations25 Sep 2019 Amit Moryossef, Yanai Elazar, Yoav Goldberg

Automatic Piano Fingering is a hard task which computers can learn using data.

Improving Quality and Efficiency in Plan-based Neural Data-to-Text Generation

1 code implementation WS 2019 Amit Moryossef, Ido Dagan, Yoav Goldberg

We follow the step-by-step approach to neural data-to-text generation we proposed in Moryossef et al (2019), in which the generation process is divided into a text-planning stage followed by a plan-realization stage.

Data-to-Text Generation Referring Expression +1

Filling Gender \& Number Gaps in Neural Machine Translation with Black-box Context Injection

no code implementations WS 2019 Amit Moryossef, Roee Aharoni, Yoav Goldberg

When translating from a language that does not morphologically mark information such as gender and number into a language that does, translation systems must {``}guess{''} this missing information, often leading to incorrect translations in the given context.

Machine Translation Translation

Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation

1 code implementation NAACL 2019 Amit Moryossef, Yoav Goldberg, Ido Dagan

We propose to split the generation process into a symbolic text-planning stage that is faithful to the input, followed by a neural generation stage that focuses only on realization.

Data-to-Text Generation Graph-to-Sequence

Filling Gender & Number Gaps in Neural Machine Translation with Black-box Context Injection

no code implementations8 Mar 2019 Amit Moryossef, Roee Aharoni, Yoav Goldberg

When translating from a language that does not morphologically mark information such as gender and number into a language that does, translation systems must "guess" this missing information, often leading to incorrect translations in the given context.

Machine Translation Translation

ABI Neural Ensemble Model for Gender Prediction Adapt Bar-Ilan Submission for the CLIN29 Shared Task on Gender Prediction

no code implementations23 Feb 2019 Eva Vanmassenhove, Amit Moryossef, Alberto Poncelas, Andy Way, Dimitar Shterionov

In contradiction with the results described in previous comparable shared tasks, our neural models performed better than our best traditional approaches with our best feature set-up.

Gender Prediction

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