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Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces
TLDR
This work generalizes functional gradient trajectory optimization by formulating it as minimization of a cost functional in an RKHS, which lets it represent trajectories as linear combinations of kernel functions, without any need for waypoints. Expand
Sparse Text Generation
TLDR
This paper uses the recently introduced entmax transformation to train and sample from a natively sparse language model, avoiding this mismatch between training and testing conditions and proposing three new metrics for comparing sparse or truncated distributions: $\epsilon$-perplexity, sparsemax score, and Jensen-Shannon divergence. Expand
Jointly Extracting and Compressing Documents with Summary State Representations
TLDR
A new neural model for text summarization that first extracts sentences from a document and then compresses them, improving over current extractive and abstractive methods is presented. Expand
Joint Learning of Named Entity Recognition and Entity Linking
TLDR
This paper performs joint learning of NER and EL to leverage their relatedness and obtain a more robust and generalisable system, and introduces a model inspired by the Stack-LSTM approach. Expand
Automated Fact Checking in the News Room
TLDR
An automated fact checking platform which given a claim, it retrieves relevant textual evidence from a document collection, predicts whether each piece of evidence supports or refutes the claim, and returns a final verdict. Expand
Recurrent Predictive State Policy Networks
TLDR
Recurrent Predictive State Policy (RPSP) networks are introduced, a recurrent architecture that brings insights from predictive state representations to reinforcement learning in partially observable environments, and are empirically shown to perform well compared with memory-preserving networks such as GRUs, as well as finite memory models. Expand
Unsupervised Learning for Nonlinear PieceWise Smooth Hybrid Systems
TLDR
This paper introduces a novel system identification and tracking method for PieceWise Smooth (PWS) nonlinear stochastic hybrid systems, and combines a PWS non-linear model with a particle filter to effectively track multi-modal transitions. Expand
Three dimensional magnetic flux concentrators with improved efficiency for magnetoresistive sensors
Three dimensional (3D) magnetic flux concentrators (FC) based on 7000-A-thick Co86Zr5Nb9 films were optimized for increased sensitivity in hybrid flux guide-magnetoresistive sensor structures. TheExpand
Hierarchical Nested Named Entity Recognition
TLDR
A transition-based parser is built that explicitly models an arbitrary number of hierarchical and nested mentions, and a set of modifier classes are proposed which introduces certain concepts that change the meaning of an entity. Expand
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