Papers
17,973 papers found
Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package
Ajay Patel, Alexander Sands, Chris Callison-Burch et al.
MAJE Submission to the WMT2018 Shared Task on Parallel Corpus Filtering
Marina Fomicheva, Jesús González-Rubio
Making “fetch” happen: The influence of social and linguistic context on nonstandard word growth and decline
Ian Stewart, Jacob Eisenstein
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction
Dipendra Misra, Andrew Bennett, Valts Blukis et al.
Mapping Language to Code in Programmatic Context
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung et al.
Mapping natural language commands to web elements
Panupong Pasupat, Tian-Shun Jiang, Evan Liu et al.
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs
Dimitri Kartsaklis, Mohammad Taher Pilehvar, Nigel Collier
Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets
Nathan Greenberg, Trapit Bansal, Patrick Verga et al.
Marrying Universal Dependencies and Universal Morphology
Arya D. McCarthy, Miikka Silfverberg, Ryan Cotterell et al.
Massively Parallel Cross-Lingual Learning in Low-Resource Target Language Translation
Zhong Zhou, Matthias Sperber, Alexander Waibel
MCapsNet: Capsule Network for Text with Multi-Task Learning
Liqiang Xiao, Honglun Zhang, Wenqing Chen et al.
Measuring Issue Ownership using Word Embeddings
Amaru Cuba Gyllensten, Magnus Sahlgren
Measuring sentence parallelism using Mahalanobis distances: The NRC unsupervised submissions to the WMT18 Parallel Corpus Filtering shared task
Patrick Littell, Samuel Larkin, Darlene Stewart et al.
MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller
Seohyun Back, Seunghak Yu, Sathish Reddy Indurthi et al.
Memory, Show the Way: Memory Based Few Shot Word Representation Learning
Jingyuan Sun, Shaonan Wang, Chengqing Zong
Meta-Learning for Low-Resource Neural Machine Translation
Jiatao Gu, Yong Wang, Yun Chen et al.
Meteor++: Incorporating Copy Knowledge into Machine Translation Evaluation
Yinuo Guo, Chong Ruan, Junfeng Hu
MindLab Neural Network Approach at BioASQ 6B
Andrés Rosso-Mateus, Fabio A. González, Manuel Montes-y-Gómez
Mind the Gap: Data Enrichment in Dependency Parsing of Elliptical Constructions
Kira Droganova, Filip Ginter, Jenna Kanerva et al.
Modeling Empathy and Distress in Reaction to News Stories
Sven Buechel, Anneke Buffone, Barry Slaff et al.
Modeling Input Uncertainty in Neural Network Dependency Parsing
Rob van der Goot, Gertjan van Noord
Modeling Localness for Self-Attention Networks
Baosong Yang, Zhaopeng Tu, Derek F. Wong et al.
Modeling Online Discourse with Coupled Distributed Topics
Nikita Srivatsan, Zachary Wojtowicz, Taylor Berg-Kirkpatrick