no code implementations • 7 Jan 2017 • Mohaddeseh Bastan, Shahram Khadivi, Mohammad Mehdi Homayounpour
This new loss function yields a total of 1. 87 point improvements in terms of BLEU score in the translation quality.
1 code implementation • ACL 2020 • Radhika Gaonkar, Heeyoung Kwon, Mohaddeseh Bastan, Niranjan Balasubramanian, Nathanael Chambers
Predicting how events induce emotions in the characters of a story is typically seen as a standard multi-label classification task, which usually treats labels as anonymous classes to predict.
Ranked #1 on Emotion Classification on ROCStories
1 code implementation • COLING 2020 • Mohaddeseh Bastan, Mahnaz Koupaee, Youngseo Son, Richard Sicoli, Niranjan Balasubramanian
We introduce PerSenT, a dataset of crowd-sourced annotations of the sentiment expressed by the authors towards the main entities in news articles.
no code implementations • loresmt (COLING) 2022 • Mohaddeseh Bastan, Shahram Khadivi
Neural Machine Translation (NMT) models are strong enough to convey semantic and syntactic information from the source language to the target language.
2 code implementations • ACL ARR November 2021 • Mohaddeseh Bastan, Nishant Shankar, Mihai Surdeanu, Niranjan Balasubramanian
We leverage this structure and create a summarization task, where the input is a collection of sentences and the main entities in an abstract, and the output includes the relationship and a sentence that summarizes the mechanism.
1 code implementation • 26 Oct 2022 • Mohaddeseh Bastan, Mihai Surdeanu, Niranjan Balasubramanian
We introduce a novel semi-supervised procedure that bootstraps an NLI dataset from existing biomedical dataset that pairs mechanisms with experimental evidence in abstracts.
Ranked #1 on Natural Language Inference on BioNLI