Papers
Hooks in the Headline: Learning to Generate Headlines with Controlled Styles
Di Jin, Zhijing Jin, Joey Tianyi Zhou et al.
Fact-based Content Weighting for Evaluating Abstractive Summarisation
Xinnuo Xu, Ondřej Dušek, Jingyi Li et al.
FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization
Esin Durmus, He He, Mona Diab
Exploring Content Selection in Summarization of Novel Chapters
Faisal Ladhak, Bryan Li, Yaser Al-Onaizan et al.
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction
Raphael Schumann, Lili Mou, Yao Lu et al.
Discourse-Aware Neural Extractive Text Summarization
Jiacheng Xu, Zhe Gan, Yu Cheng et al.
Asking and Answering Questions to Evaluate the Factual Consistency of Summaries
Alex Wang, Kyunghyun Cho, Mike Lewis
A Transformer-based Approach for Source Code Summarization
Wasi Ahmad, Saikat Chakraborty, Baishakhi Ray et al.
Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics
Nitika Mathur, Timothy Baldwin, Trevor Cohn
S2ORC: The Semantic Scholar Open Research Corpus
Kyle Lo, Lucy Lu Wang, Mark Neumann et al.
More Diverse Dialogue Datasets via Diversity-Informed Data Collection
Katherine Stasaski, Grace Hui Yang, Marti A. Hearst
Facet-Aware Evaluation for Extractive Summarization
Yuning Mao, Liyuan Liu, Qi Zhu et al.
Dialogue-Based Relation Extraction
Dian Yu, Kai Sun, Claire Cardie et al.
Code and Named Entity Recognition in StackOverflow
Jeniya Tabassum, Mounica Maddela, Wei Xu et al.
Beyond Accuracy: Behavioral Testing of NLP Models with CheckList
Marco Tulio Ribeiro, Tongshuang Wu, Carlos Guestrin et al.
Adversarial NLI: A New Benchmark for Natural Language Understanding
Yixin Nie, Adina Williams, Emily Dinan et al.
A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks
Angela Lin, Sudha Rao, Asli Celikyilmaz et al.
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models
Dan Iter, Kelvin Guu, Larry Lansing et al.
Learning Constraints for Structured Prediction Using Rectifier Networks
Xingyuan Pan, Maitrey Mehta, Vivek Srikumar
Discrete Latent Variable Representations for Low-Resource Text Classification
Shuning Jin, Sam Wiseman, Karl Stratos et al.
Shaping Visual Representations with Language for Few-Shot Classification
Jesse Mu, Percy Liang, Noah Goodman
Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA
Hyounghun Kim, Zineng Tang, Mohit Bansal
Spying on Your Neighbors: Fine-grained Probing of Contextual Embeddings for Information about Surrounding Words
Josef Klafka, Allyson Ettinger
On the Spontaneous Emergence of Discrete and Compositional Signals
Nur Geffen Lan, Emmanuel Chemla, Shane Steinert-Threlkeld
Learning to Deceive with Attention-Based Explanations
Danish Pruthi, Mansi Gupta, Bhuwan Dhingra et al.