4 citations · 6 across the 4 of their papers we have counts for
6 papers
BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples
Mohaddeseh Bastan, Mihai Surdeanu, Niranjan Balasubramanian
Natural language inference (NLI) is critical for complex decision-making in biomedical domain. One key question, for example, is whether a given biomedical mechanism is supported b…
SuMe: A Dataset Towards Summarizing Biomedical Mechanisms
Mohaddeseh Bastan, Nishant Shankar, Mihai Surdeanu +1
Can language models read biomedical texts and explain the biomedical mechanisms discussed? In this work we introduce a biomedical mechanism summarization task. Biomedical studies o…
A Preordered RNN Layer Boosts Neural Machine Translation in Low Resource Settings
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. However, these models are su…
Author's Sentiment Prediction
Mohaddeseh Bastan, Mahnaz Koupaee, Youngseo Son +2
We introduce PerSenT, a dataset of crowd-sourced annotations of the sentiment expressed by the authors towards the main entities in news articles. The dataset also includes paragra…
Modeling Label Semantics for Predicting Emotional Reactions
Radhika Gaonkar, Heeyoung Kwon, Mohaddeseh Bastan +2
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…
Neural Machine Translation on Scarce-Resource Condition: A case-study on Persian-English
Mohaddeseh Bastan, Shahram Khadivi, Mohammad Mehdi Homayounpour
Neural Machine Translation (NMT) is a new approach for Machine Translation (MT), and due to its success, it has absorbed the attention of many researchers in the field. In this pap…