Search Results for author:
Found 9 papers, 3 papers with code
LSDSem 2017: Exploring Data Generation Methods for the Story Cloze Test
The Story Cloze test is a recent effort in providing a common test scenario for text understanding systems.
Integrating Deep Linguistic Features in Factuality Prediction over Unified Datasets
Previous models for the assessment of commitment towards a predicate in a sentence (also known as factuality prediction) were trained and tested against a specific annotated dataset, subsequently limiting the generality of their results.
BinLin: A Simple Method of Dependency Tree Linearization
Surface Realization Shared Task 2018 is a workshop on generating sentences from lemmatized sets of dependency triples.
E2E NLG Challenge: Neural Models vs. Templates
E2E NLG Challenge is a shared task on generating restaurant descriptions from sets of key-value pairs.
Ranked #11 on
Data-to-Text Generation
on E2E NLG Challenge
Revisiting the Binary Linearization Technique for Surface Realization
End-to-end neural approaches have achieved state-of-the-art performance in many natural language processing (NLP) tasks.
Empirical Evaluation of Supervision Signals for Style Transfer Models
In this work we empirically compare the dominant optimization paradigms which provide supervision signals during training: backtranslation, adversarial training and reinforcement learning.
Evaluation Discrepancy Discovery: A Sentence Compression Case-study
Reliable evaluation protocols are of utmost importance for reproducible NLP research.
