Search Results for author:
Found 24 papers, 1 papers with code
``I'd rather just go to bed'': Understanding Indirect Answers
We revisit a pragmatic inference problem in dialog: Understanding indirect responses to questions.
TESA: A Task in Entity Semantic Aggregation for Abstractive Summarization
Human-written texts contain frequent generalizations and semantic aggregation of content.
"I'd rather just go to bed": Understanding Indirect Answers
We revisit a pragmatic inference problem in dialog: understanding indirect responses to questions.
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses
Sentence position is a strong feature for news summarization, since the lead often (but not always) summarizes the key points of the article.
What comes next? Extractive summarization by next-sentence prediction
Existing approaches to automatic summarization assume that a length limit for the summary is given, and view content selection as an optimization problem to maximize informativeness and minimize redundancy within this budget.
Getting to ``Hearer-old'': Charting Referring Expressions Across Time
As entities move from hearer-new (first introduction to the NYT audience) to hearer-old (common knowledge) status, we show empirically that the referring expressions along this trajectory depend on the type of the entity, and exhibit linguistic properties related to becoming common knowledge (e. g., shorter length, less use of appositives, more definiteness).
Deep Learning to Detect Redundant Method Comments
To address this problem, we introduce the notion of comment entailment from code, high entailment indicating that a comment's natural language semantics can be inferred directly from the code.
Deep Dungeons and Dragons: Learning Character-Action Interactions from Role-Playing Game Transcripts
An essential aspect to understanding narratives is to grasp the interaction between characters in a story and the actions they take.
LSDSem 2017 Shared Task: The Story Cloze Test
The LSDSem{'}17 shared task is the Story Cloze Test, a new evaluation for story understanding and script learning.
Which Step Do I Take First? Troubleshooting with Bayesian Models
Online discussion forums and community question-answering websites provide one of the primary avenues for online users to share information.
What Makes Writing Great? First Experiments on Article Quality Prediction in the Science Journalism Domain
We show that the distinction between great and typical articles can be detected fairly accurately, and that the entire spectrum of our features contribute to the distinction.
A corpus of general and specific sentences from news
We present a corpus of sentences from news articles that are annotated as general or specific.
