Papers
17,973 papers found
Evaluating the Ability of LSTMs to Learn Context-Free Grammars
Luzi Sennhauser, Robert Berwick
Evaluating Theory of Mind in Question Answering
Aida Nematzadeh, Kaylee Burns, Erin Grant et al.
Evaluating the Utility of Hand-crafted Features in Sequence Labelling
Minghao Wu, Fei Liu, Trevor Cohn
Evaluation of a Prototype System that Automatically Assigns Subject Headings to Nursing Narratives Using Recurrent Neural Network
Hans Moen, Kai Hakala, Laura-Maria Peltonen et al.
Evaluation of a Sequence Tagging Tool for Biomedical Texts
Julien Tourille, Matthieu Doutreligne, Olivier Ferret et al.
Event Detection with Neural Networks: A Rigorous Empirical Evaluation
Walker Orr, Prasad Tadepalli, Xiaoli Fern
Evidence Type Classification in Randomized Controlled Trials
Tobias Mayer, Elena Cabrio, Serena Villata
Evidence Types, Credibility Factors, and Patterns or Soft Rules for Weighing Conflicting Evidence: Argument Mining in the Context of Legal Rules Governing Evidence Assessment
Vern R. Walker, Dina Foerster, Julia Monica Ponce et al.
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?
Fréderic Godin, Kris Demuynck, Joni Dambre et al.
Explaining non-linear Classifier Decisions within Kernel-based Deep Architectures
Danilo Croce, Daniele Rossini, Roberto Basili
Expletives in Universal Dependency Treebanks
Gosse Bouma, Jan Hajic, Dag Haug et al.
Explicitly modeling case improves neural dependency parsing
Clara Vania, Adam Lopez
Exploiting Attention to Reveal Shortcomings in Memory Models
Kaylee Burns, Aida Nematzadeh, Erin Grant et al.
Exploiting Contextual Information via Dynamic Memory Network for Event Detection
Shaobo Liu, Rui Cheng, Xiaoming Yu et al.
Exploiting Deep Representations for Neural Machine Translation
Zi-Yi Dou, Zhaopeng Tu, Xing Wang et al.
Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model
Kun Xu, Lingfei Wu, Zhiguo Wang et al.
Exploring and Learning Suicidal Ideation Connotations on Social Media with Deep Learning
Ramit Sawhney, Prachi Manchanda, Puneet Mathur et al.
Exploring gap filling as a cheaper alternative to reading comprehension questionnaires when evaluating machine translation for gisting
Mikel L. Forcada, Carolina Scarton, Lucia Specia et al.
Exploring Named Entity Recognition As an Auxiliary Task for Slot Filling in Conversational Language Understanding
Samuel Louvan, Bernardo Magnini
Exploring Optimism and Pessimism in Twitter Using Deep Learning
Cornelia Caragea, Liviu P. Dinu, Bogdan Dumitru
Exploring Recombination for Efficient Decoding of Neural Machine Translation
Zhisong Zhang, Rui Wang, Masao Utiyama et al.
Extending Neural Generative Conversational Model using External Knowledge Sources
Prasanna Parthasarathi, Joelle Pineau
Extracting Entities and Relations with Joint Minimum Risk Training
Changzhi Sun, Yuanbin Wu, Man Lan et al.
Extracting In-domain Training Corpora for Neural Machine Translation Using Data Selection Methods
Catarina Cruz Silva, Chao-Hong Liu, Alberto Poncelas et al.