Papers
How Predictable is Your State? Leveraging Lexical and Contextual Information for Predicting Legislative Floor Action at the State Level
Vladimir Eidelman, Anastassia Kornilova, Daniel Argyle
RNN Simulations of Grammaticality Judgments on Long-distance Dependencies
Shammur Absar Chowdhury, Roberto Zamparelli
Two Local Models for Neural Constituent Parsing
Zhiyang Teng, Yue Zhang
Sprucing up the trees – Error detection in treebanks
Ines Rehbein, Josef Ruppenhofer
Distance-Free Modeling of Multi-Predicate Interactions in End-to-End Japanese Predicate-Argument Structure Analysis
Yuichiroh Matsubayashi, Kentaro Inui
Neural Transition-based String Transduction for Limited-Resource Setting in Morphology
Peter Makarov, Simon Clematide
Low-resource Cross-lingual Event Type Detection via Distant Supervision with Minimal Effort
Aldrian Obaja Muis, Naoki Otani, Nidhi Vyas et al.
Challenges of language technologies for the indigenous languages of the Americas
Manuel Mager, Ximena Gutierrez-Vasques, Gerardo Sierra et al.
Unsupervised Morphology Learning with Statistical Paradigms
Hongzhi Xu, Mitchell Marcus, Charles Yang et al.
Triad-based Neural Network for Coreference Resolution
Yuanliang Meng, Anna Rumshisky
They Exist! Introducing Plural Mentions to Coreference Resolution and Entity Linking
Ethan Zhou, Jinho D. Choi
Zero Pronoun Resolution with Attention-based Neural Network
Qingyu Yin, Yu Zhang, Weinan Zhang et al.
A New Approach to Animacy Detection
Labiba Jahan, Geeticka Chauhan, Mark Finlayson
Minimax Rates and Efficient Algorithms for Noisy Sorting
Cheng Mao, Jonathan Weed, Philippe Rigollet
Efficient coordinate-wise leading eigenvector computation
Jialei Wang, Weiran Wang, Dan Garber et al.
Variance-Aware Regret Bounds for Undiscounted Reinforcement Learning in MDPs
Mohammad Sadegh Talebi, Odalric-Ambrym Maillard
Sequential prediction with coded side information under logarithmic loss
Yanina Shkel, Maxim Raginsky, Sergio Verdú
The K-Nearest Neighbour UCB Algorithm for Multi-Armed Bandits with Covariates
Henry Reeve, Joe Mellor, Gavin Brown
Online Learning of Combinatorial Objects via Extended Formulation
Holakou Rahmanian, David P. Helmbold, S. V. N. Vishwanathan
Multi-task {K}ernel {L}earning Based on {P}robabilistic {L}ipschitzness
Anastasia Pentina, Shai Ben-David
On Similarity Prediction and Pairwise Clustering
Stephen Pasteris, Fabio Vitale, Claudio Gentile et al.
Clustering Algorithms for the Centralized and Local Models
Kobbi Nissim, Uri Stemmer
Markov Decision Processes with Continuous Side Information
Aditya Modi, Nan Jiang, Satinder Singh et al.
Learning under p-Tampering Attacks
Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody
An Adaptive Strategy for Active Learning with Smooth Decision Boundary
Andrea Locatelli, Alexandra Carpentier, Samory Kpotufe