[PDF] Top 20 The Lower The Simpler: Simplifying Hierarchical Recurrent Models
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The Lower The Simpler: Simplifying Hierarchical Recurrent Models
... 2.1 Hierarchical Recurrent Encoder-Decoder Hierarchical Recurrent Encoder-Decoder (HRED) is a conversational model for building end-to-end dialogue ...HRED models this hierarchy with a ... See full document
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SHORT-TIMESCALE VARIATION OF PHYTOPLANKTON ABUNDANCE AND DIVERSITY AT REDANG ISLAND
... The lower phytoplankton abundance and oligotrophic nature at Redang Island resulted in a simpler phytoplankton community (with 10 genera) compared to Klang (28 genera) and Port Dickson (28 ... See full document
6
Simpler Is Better: Re-evaluation of Default Word Alignment Models in Statistical MT
... significantly lower (p-value ...IBM2 models were trained in the same way as the HMM-based model: starting with the IBM model ...IBM2 models are compared to the HMM-based model in table ... See full document
8
Recurrent models and lower bounds for projective syntactic decoding
... The context. The current state-of-the-art for graph-based syntactic dependency parsing is a seemingly basic neural model by Dozat and Man- ning (2017). The parser’s performance is an improvement on the first, even ... See full document
10
Bringing Certainty and Order Out of the Wilderness of Law
... other simplifying and reorganizing ...of simplifying and clarifying the law; b) the tools used to perform the function; c) the effects produced in the legal ... See full document
13
A conceptual model for physical and chemical soil profile evolution
... The proposed model is intended as one of reduced complexity, allowing readier linkage to landscape evolution models and, inevitably, greatly simplifying the geochemical relationships, wh[r] ... See full document
37
Learning Hierarchical Structures On The Fly with a Recurrent Recursive Model for Sequences
... a recurrent-recursive neural network architecture that learns to encode the sequence on-the-fly, ...sequential models to learn from hierarchical ... See full document
5
Convolutional Neural Network Language Models
... needs models to capture local as well as long-range dependency infor- ...language models, demonstrating their po- tential for language representation even in se- quential ...for recurrent ... See full document
10
Hiearchie: Visualization for Hierarchical Topic Models
... Existing visualizations support analysis and ex- ploration of topic models. Topical Guide (Gardner et al., 2010), TopicViz (Eisenstein et al., 2012), and the topic visualization of (Chaney and Blei, 2012) provide ... See full document
8
Weakly Supervised Attention Networks for Fine Grained Opinion Mining and Public Health
... MIL-* models out- perform the Rev-* models in F1 score (with the exception of MIL-avg, which has lower F1 score than Rev-RNN): the MIL framework is appropri- ate for this task, especially when the ... See full document
10
Moment Properties And Quadratic Estimating Functions For Integer-Valued Time Series Models
... series models extended to include autoregressive moving average models, the first of which were introduced by Brockwell and Davis (1991) and Emad and Nadjib ... See full document
19
Predefined Sparseness in Recurrent Sequence Models
... From the language modeling experiments in Sec- tion 3.2, we hypothesized that an RNN layer be- comes more expressive, when the dense layer is replaced by a larger layer with predefined sparse- ness and the same number of ... See full document
10
On the Memory Properties of Recurrent Neural Models
... A valid criticism of RNNs is that they mainly have two ways to encode and represent information: firstly in their activations which are recomputed in full and can change radically from step to step, and secondly in their ... See full document
10
Incremental Processing and the Hierarchical Lexicon
... Lexical preferencing implements preferences in the parsing process as a natural consequence of the hierarchical structure of the lexicon: informa- tion lower on in the hierarchical lexic[r] ... See full document
20
Bronchoalveolar lavage in infants with recurrent lower respiratory symptoms
... We found a positive association between the percent- age of BAL fraction 1 CD8+ lymphocytes and thickness of reticular basement membrane and the number of lymphocytes in the endobronchial biopsy. In addition, a positive ... See full document
7
Hierarchical Non Emitting Markov Models
... Consequently, the non-emitting Markov model is strictly more powerful than any Markov model, including the context model Rissanen, 1983; Rissanen, 1986, the backoff model Cleary and Witt[r] ... See full document
5
Recurrent Continuous Translation Models
... translation models called Recur- rent Continuous Translation Models that are purely based on continuous representations for words, phrases and sentences and do not rely on alignments or phrasal translation ... See full document
10
Simplifying ARM concurrency : multicopy atomic axiomatic and operational models for ARMv8
... memory models were expressed as prose definitions that were hard to interpret ...precise models for ARM and for IBM POWER, initially based on the vendor texts, but later, as the deficiencies of those became ... See full document
29
Continuous Learning in a Hierarchical Multiscale Neural Network
... form of memory or causal model of the world to accurately predict a future event given past events. One of the main issues limiting the performance of language models (LMs) is the problem of cap- turing long-term ... See full document
7
The Importance of Being Recurrent for Modeling Hierarchical Structure
... that recurrent neural networks (RNNs) can implicitly capture and exploit hierarchical information when trained to solve common natural language processing tasks (Blevins et ...model hierarchical ... See full document
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