[PDF] Top 20 A Model of Coherence Based on Distributed Sentence Representation

... Recurrent and Recursive Neural Networks In the context of NLP, recurrent neural networks view a sentence as a sequence of tokens and in- corporate information from the past (i.e., preced- ing tokens) (Schuster and ... See full document

... Table 1 presents some characteristics of lan- guage model training under several conditions which demonstrate some of the tradeoffs in dis- tributing the model in slightly different ways. From the Billion ... See full document

... As mentioned earlier, a number of studies pose im- age captioning as a caption transfer problem by relying on the assumption that visually similar im- ages generally contain very similar captions. The pioneering work in ... See full document

... This idea is motivated from the fact that cer- tain sentence types such as questions and definitions have distinguishable and unique syntactic structure. For example, consider the opening sentences of two ... See full document

... representations. Based on this model, we further expand the input representa- tion with exemplary domain knowledge, col- lected by attending over a memory network of domain training ...our model ... See full document

... extraction model uses long short-term memory (LSTM) (Hochreiter and Schmidhuber, 1997), an RNN architecture well-suited for se- quential ...extraction model has two com- ponents, as shown on the right of ... See full document

... of sentence position – both relative to neighboring sentences and glob- ally – appear in text coherence modelling, with two important tasks being order discrimination (is a sequence of sentences in the ... See full document

... topic model-based word representations, on sentence-based extractive summariza- ...of sentence se- lection as a binary classification problem, and we test a variety of machine learning ... See full document

... Structure Model. The Triplet Structure Model can help students to model early mathematical problems by creating a three- sentence representation bridging the contextual problem and its ... See full document

... of sentence embedding represen- tation, also called bottom-up approach, represents sentences by a weighted sum of the embedding vectors of their individual ...approaches based on RNNs and LSTMs in many ... See full document

... formalized model which is based on the notion of working memory and activation value, and demonstrate how our model successfulluy accounts for the data in ...our model, pointing out that they ... See full document

... The embedding size for word, part-of-speech tag, and the dependency relation is 128. We employed the vanilla RNN with a hidden size of 512 for both the policy network and neural language model. The mini-batch size ... See full document

... a model that allows for prediction of blood-NH 3 ...quantitative model, loss of this “first-pass metabolism” due to portal collateral circulation can account for the hyperammonemia observed in chronic liver ... See full document

... this model. The model has a number of free parameters, relating to the equations used for the competition, the method by which links between fragments are formed, as well as the question of precisely what ... See full document

... of coherence relations that are easy to code, and to illustrate the inadequacy of trees as a data structure for representing discourse coherence ...of coherence structures that use trees are not ... See full document

... Cross-lingual information extraction is the task of distilling facts from foreign lan- guage (e.g. Chinese text) into represen- tations in another language that is pre- ferred by the user (e.g. English tuples). ... See full document

... know that they both are also in the scope of h. This is a contradiction! Condition D26c is vacuously true because E has no open hole and l has no dominance children. 2 This theorem shows that, practically speaking, UR is ... See full document

... is based on a system wide accepted value called THRESHOLD TIME such that, any entry in pull history time stamped, at current time- THRESHOLD TIME or earlier is considered stale and ... See full document

... Mr Yule shows that the frequency distribution of sentence length (i.e. number of words between successive full stops) is of the skew type and by comparing in tw[r] ... See full document

... For our experiments, we used a corpus of customer reviews containing reviews of books, DVDs, elec- tronics, music and videogames, split by polar- ity (henceforth referred to as the consumer re- views dataset). The ... See full document