Search Results for author: Ananya Ganesh

Found 6 papers, 1 papers with code

Training and Domain Adaptation for Supervised Text Segmentation

no code implementations EACL (BEA) 2021 Goran Glavaš, Ananya Ganesh, Swapna Somasundaran

In this work, we focus on the domain transfer performance of supervised neural text segmentation in the educational domain.

Domain Adaptation Text Segmentation

Don't Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data

no code implementations ACL 2021 Rajat Bhatnagar, Ananya Ganesh, Katharina Kann

Based on the insight that humans pay specific attention to movements, we use graphics interchange formats (GIFs) as a pivot to collect parallel sentences from monolingual annotators.

Machine Translation Translation

Energy and Policy Considerations for Deep Learning in NLP

3 code implementations ACL 2019 Emma Strubell, Ananya Ganesh, Andrew McCallum

Recent progress in hardware and methodology for training neural networks has ushered in a new generation of large networks trained on abundant data.

Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings

no code implementations WS 2018 Haw-Shiuan Chang, Amol Agrawal, Ananya Ganesh, Anirudha Desai, Vinayak Mathur, Alfred Hough, Andrew McCallum

Word sense induction (WSI), which addresses polysemy by unsupervised discovery of multiple word senses, resolves ambiguities for downstream NLP tasks and also makes word representations more interpretable.

Word Sense Induction

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