337 citations · 699 across the 35 of their papers we have counts for
5 papers · 1 filter
Data Programming using Continuous and Quality-Guided Labeling Functions
Oishik Chatterjee, Ganesh Ramakrishnan, Sunita Sarawagi
Scarcity of labeled data is a bottleneck for supervised learning models. A paradigm that has evolved for dealing with this problem is data programming. An existing data programming…
Parallel Iterative Edit Models for Local Sequence Transduction
Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal +2
We present a Parallel Iterative Edit (PIE) model for the problem of local sequence transduction arising in tasks like Grammatical error correction (GEC). Recent approaches are base…
Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings
Vihari Piratla, Sunita Sarawagi, Soumen Chakrabarti
Given a small corpus pertaining to a limited set of focused topics, our goal is to train embeddings that accurately capture the sense of words in the topic in spite…
Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units
Prathamesh Deshpande, Sunita Sarawagi
We present ARU, an Adaptive Recurrent Unit for streaming adaptation of deep globally trained time-series forecasting models. The ARU combines the advantages of learning complex dat…
Calibration of Encoder Decoder Models for Neural Machine Translation
Aviral Kumar, Sunita Sarawagi
We study the calibration of several state of the art neural machine translation(NMT) systems built on attention-based encoder-decoder models. For structured outputs like in NMT, ca…