[PDF] Top 20 A Unified Neural Coherence Model
Has 10000 "A Unified Neural Coherence Model" found on our website. Below are the top 20 most common "A Unified Neural Coherence Model".
A Unified Neural Coherence Model
... a neural ver- sion of the entity grid model where they first trans- form the grammatical roles in a grid into their dis- tributed ...to model entity transi- tions in the distributed ...the ... See full document
11
Caloric vestibular stimulation reveals discrete neural mechanisms for coherence rivalry and eye rivalry: a meta-rivalry model
... the coherence of the stimuli, the faster the rivalry ...that coherence rivalry is ...place coherence rivalry high in the visual pathway and half-field rivalry at the low level, an interpretation ... See full document
15
Neural Net Models of Open domain Discourse Coherence
... variable model VLV-GM is able to generate chunk of texts that are most indistinguishable from coherent texts from ...to model long-term sentence-level ... See full document
12
Modeling Coherence for Discourse Neural Machine Translation
... our model on the IWSLT speech translation task with TED talks (Cettolo, Girardi, and Federico 2012) as training corpus, which includes multiple entire ...our model im- proves the sentence translation ... See full document
8
Coherence Modeling of Asynchronous Conversations: A Neural Entity Grid Approach
... similar model settings as in (Nguyen and Joty, 2017) 2 – ReLU as activation functions (h), RM- Sprop (Tieleman and Hinton, 2012) as the learn- ing algorithm, Glorot-uniform (Glorot and Ben- gio, 2010) for ... See full document
11
Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input
... that neural approaches to AES achieve state-of-the-art results (Alikaniotis et ...of neural models, a number of visu- alization techniques have been proposed to iden- tify textual (superficial) features ... See full document
9
A Unified Model for Word Sense Representation and Disambiguation
... space model, where the contexts of each word are first clustered into groups, and then each cluster generates a distinct prototype vector for a word by averaging over all context vectors with- in the ... See full document
11
Coreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments
... We used simple oracles to look at discourse-level phenomena in MT. We compared context-aware NMT models and show that these approaches pro- vide large gains in BLEU for coreference and coherence given clear oracle ... See full document
12
A Model of Coherence Based on Distributed Sentence Representation
... Coherence is what makes a multi-sentence text meaningful, both logically and syn- tactically. To solve the challenge of or- dering a set of sentences into coherent or- der, existing approaches focus mostly on ... See full document
10
Neural correlates of coherence-break detection during reading of narratives
... linear model in ...the coherence judgment and the comprehension question were answered correctly and if reading times for all sentences were shorter than 10 ...the coherence judgment and the ... See full document
18
A Cross Domain Transferable Neural Coherence Model
... text coherence, so this is an imperfect proxy ...average coherence between ar- ticles marked for rewrite and articles that are ...our model trained for the Wiki-D protocol, and av- erage its output ... See full document
10
A Neural Local Coherence Model for Text Quality Assessment
... evaluating coherence models is essay scoring (Beigman Klebanov and Flor, 2013; Somasundaran et ...local coherence fea- tures, as defined by a measure of Centering The- ory’s Rough-Shift transitions (Grosz et ... See full document
12
Chinese NER with Height-Limited Constituent Parsing
... the unified model of the semi-CRF and the tree- CRF, where 1-order semi-CRF is ...fied model of the semi-CRF and the tree-CRF is constructed, based on neural features generated from word ... See full document
8
A Unified Neural Network Model for Geolocating Twitter Users
... formance. However, some prediction errors arise when location fields are incorrect. We found two main cases that result in incorrect location fields: (1) Users who move to a new place (i.e., house) but do not update ... See full document
12
A Neural Local Coherence Model
... Convolutional filters learn to compose local transition features of a grid into higher-level rep- resentations automatically. Since it operates over the distributed representation of grid entries, com- pared to ... See full document
11
A Unified Local and Global Model for Discourse Coherence
... documents have some advantages for coherence re- search: they are short (11.5 sentences on average) and quite formulaic, which makes it easy to find lex- ical and structural patterns. On the other hand, they do ... See full document
8
Design of Low Noise Amplifier of IRNSS using ANN
... This paper proposes a solution to the problem thatstill makes use of the common MLP and RBF models, but within a modified ANN architecture. The idea is to find the design parameters in sequence, each one constraining the ... See full document
10
The temporal binding deficit hypothesis of autism
... central coherence,” an unusual bias toward piecemeal rather than configurational processing and a reduction in the normal tendency to process information in ...central coherence are still ...central ... See full document
17
Discourse Generation Using Utility Trained Coherence Models
... gorithm for the discourse ordering problem that comes with strong theoretical guarantees. For a wide range of practical problems (discourse order- ing of up to 15 units), the algorithm finds an op- timal solution in ... See full document
8
A Cognitive Model of Coherence Driven Story Comprehension
... Not surprisingly, the treebased evaluations methods gave higher error rate they do not examine the SRN response to nonexistent left contexts, which in turn are used in the optimal thresh[r] ... See full document
6
Related subjects