Papers
6,952 papers found
Predicting Malware Attributes from Cybersecurity Texts
Arpita Roy, Youngja Park, Shimei Pan
Predicting Suicide Risk from Online Postings in Reddit The UGent-IDLab submission to the CLPysch 2019 Shared Task A
Semere Kiros Bitew, Giannis Bekoulis, Johannes Deleu et al.
Predicting the Type and Target of Offensive Posts in Social Media
Marcos Zampieri, Shervin Malmasi, Preslav Nakov et al.
“President Vows to Cut <Taxes> Hair”: Dataset and Analysis of Creative Text Editing for Humorous Headlines
Nabil Hossain, John Krumm, Michael Gamon
Pre-trained language model representations for language generation
Sergey Edunov, Alexei Baevski, Michael Auli
Pre-training on high-resource speech recognition improves low-resource speech-to-text translation
Sameer Bansal, Herman Kamper, Karen Livescu et al.
Priming vs. Inhibition of Optional Infinitival “to”
Robin Melnick, Thomas Wasow
Probing Biomedical Embeddings from Language Models
Qiao Jin, Bhuwan Dhingra, William Cohen et al.
Probing the Need for Visual Context in Multimodal Machine Translation
Ozan Caglayan, Pranava Madhyastha, Lucia Specia et al.
Publicly Available Clinical BERT Embeddings
Emily Alsentzer, John Murphy, William Boag et al.
Pun Generation with Surprise
He He, Nanyun Peng, Percy Liang
Quantifiers in a Multimodal World: Hallucinating Vision with Language and Sound
Alberto Testoni, Sandro Pezzelle, Raffaella Bernardi
Quantifying the morphosyntactic content of Brown Clusters
Manuel R. Ciosici, Leon Derczynski, Ira Assent
Question Answering as an Automatic Evaluation Metric for News Article Summarization
Matan Eyal, Tal Baumel, Michael Elhadad
Question Answering by Reasoning Across Documents with Graph Convolutional Networks
Nicola De Cao, Wilker Aziz, Ivan Titov
Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs
Debjit Paul, Anette Frank
Ranking-Based Autoencoder for Extreme Multi-label Classification
Bingyu Wang, Li Chen, Wei Sun et al.
Recommendations for Datasets for Source Code Summarization
Alexander LeClair, Collin McMillan
Recovering dropped pronouns in Chinese conversations via modeling their referents
Jingxuan Yang, Jianzhuo Tong, Si Li et al.
Recurrent models and lower bounds for projective syntactic decoding
Natalie Schluter
Recursive Routing Networks: Learning to Compose Modules for Language Understanding
Ignacio Cases, Clemens Rosenbaum, Matthew Riemer et al.
Recursive Subtree Composition in LSTM-Based Dependency Parsing
Miryam de Lhoneux, Miguel Ballesteros, Joakim Nivre
Referring to Objects in Videos Using Spatio-Temporal Identifying Descriptions
Peratham Wiriyathammabhum, Abhinav Shrivastava, Vlad Morariu et al.
Reinforcement Learning based Curriculum Optimization for Neural Machine Translation
Gaurav Kumar, George Foster, Colin Cherry et al.
Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus
Hongyu Gong, Suma Bhat, Lingfei Wu et al.