| Where should I comment my code? - a dataset and model for predicting locations that need comments. | 0 | 0.34 | 2020 |
| Deep Dungeons and Dragons: Learning Character-Action Interactions from Role-Playing Game Transcripts. | 0 | 0.34 | 2018 |
| Getting to "Hearer-old": Charting Referring Expressions Across Time. | 0 | 0.34 | 2018 |
| Deep Learning to Detect Redundant Method Comments. | 3 | 0.40 | 2018 |
| Beyond playing to win: Diversifying heuristics for GVGAI | 2 | 0.36 | 2017 |
| Exploring Substitutability through Discourse Adverbials and Multiple Judgments. | 0 | 0.34 | 2017 |
| Filling in the Blanks in Understanding Discourse Adverbials: Consistency, Conflict, and Context-Dependence in a Crowdsourced Elicitation Task. | 0 | 0.34 | 2016 |
| Filling in the Blanks in Understanding Discourse Adverbials: Consistency, Conflict, and Context-Dependence in a Crowdsourced Elicitation Task. | 0 | 0.34 | 2016 |
| Which Step Do I Take First? Troubleshooting with Bayesian Models. | 0 | 0.34 | 2015 |
| Recovering discourse relations: Varying influence of discourse adverbials | 2 | 0.41 | 2015 |
| Conversation Trees: A Grammar Model for Topic Structure in Forums | 7 | 0.46 | 2015 |
| Structured and Unstructured Cache Models for SMT Domain Adaptation. | 3 | 0.36 | 2014 |
| Verbose, Laconic or Just Right: A Simple Computational Model of Content Appropriateness under Length Constraints. | 3 | 0.39 | 2014 |
| A corpus of science journalism for analyzing writing quality | 2 | 0.39 | 2013 |
| Automatically assessing machine summary content without a gold standard | 35 | 1.30 | 2013 |
| What Makes Writing Great? First Experiments on Article Quality Prediction in the Science Journalism Domain. | 26 | 1.06 | 2013 |
| A corpus of general and specific sentences from news. | 3 | 0.45 | 2012 |
| Automatic metrics for genre-specific text quality | 3 | 0.41 | 2012 |
| A coherence model based on syntactic patterns | 25 | 0.78 | 2012 |
| A Coherence Model Based on Syntactic Patterns | 0 | 0.34 | 2012 |
| Text specificity and impact on quality of news summaries | 1 | 0.35 | 2011 |
| Automatic identification of general and specific sentences by leveraging discourse annotations. | 12 | 1.02 | 2011 |
| Using entity features to classify implicit discourse relations | 23 | 0.98 | 2010 |
| Discourse indicators for content selection in summarization | 16 | 0.69 | 2010 |
| Automatic evaluation of linguistic quality in multi-document summarization | 45 | 1.70 | 2010 |
| Structural features for predicting the linguistic quality of text: applications to machine translation, automatic summarization and human-authored text | 8 | 0.61 | 2010 |
| Creating local coherence: an empirical assessment | 7 | 0.47 | 2010 |
| Predicting Summary Quality using Limited Human Input. | 4 | 0.42 | 2009 |
| Automatic sense prediction for implicit discourse relations in text | 130 | 5.11 | 2009 |
| Performance confidence estimation for automatic summarization | 12 | 0.75 | 2009 |
| Automatically evaluating content selection in summarization without human models | 47 | 1.70 | 2009 |
| Can You Summarize This? Identifying Correlates of Input Difficulty for Multi-Document Summarization | 8 | 0.65 | 2008 |
| Automatic Summary Evaluation without Human Models | 16 | 0.86 | 2008 |
