Search Results for author:
Found 7 papers, 4 papers with code
WikiHow: A Large Scale Text Summarization Dataset
Sequence-to-sequence models have recently gained the state of the art performance in summarization.
Ranked #3 on
Text Summarization
on WikiHow
Analyzing and Interpreting Convolutional Neural Networks in NLP
Convolutional neural networks have been successfully applied to various NLP tasks.
Modeling Preconditions in Text with a Crowd-sourced Dataset
This paper introduces PeKo, a crowd-sourced annotation of preconditions between event pairs in newswire, an order of magnitude larger than prior text annotations.
Author's Sentiment Prediction
We introduce PerSenT, a dataset of crowd-sourced annotations of the sentiment expressed by the authors towards the main entities in news articles.
Don't Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models
Event language models represent plausible sequences of events.
PASTA: A Dataset for Modeling Participant States in Narratives
This dataset contains inferable participant states; a counterfactual perturbation to each state; and the changes to the story that would be necessary if the counterfactual were true.
Modeling Complex Event Scenarios via Simple Entity-focused Questions
Event scenarios are often complex and involve multiple event sequences connected through different entity participants.
