Index of papers in Proc. ACL 2014 that mention
  • generative model
P, Deepak and Visweswariah, Karthik
Our Approach
4.2 Generative model for Solution Posts
Our Approach
Our generative model models the reply part of a (p, r) pair (in which r is a solution) as being generated from the statistical models in {83, 73} as follows.
Our Approach
The generative model above is similar to the proposal in (Deepak et al., 2012), adapted suitably for our scenario.
Related Work
Translation models were also seen to be useful in segmenting incident reports into the problem and solution parts (Deepak et al., 2012); we will use an adaptation of the generative model presented therein, for our solution extraction formulation.
generative model is mentioned in 6 sentences in this paper.
Topics mentioned in this paper:
Duan, Manjuan and White, Michael
Background
The model takes as its starting point two probabilistic models of syntax that have been developed for CCG parsing, Hockenmaier & Steed-man’s (2002) generative model and Clark & Cur-ran’s (2007) normal-form model.
Introduction
With this simple reranking strategy and each of three different Treebank parsers, we find that it is possible to improve BLEU scores on Penn Treebank development data with White & Rajkumar’s (2011; 2012) baseline generative model , but not with their averaged perceptron model.
Simple Reranking
The first one is the baseline generative model (hereafter, generative model ) used in training the averaged perceptron model.
Simple Reranking
Simple ranking with the Berkeley parser of the generative model’s n-best realizations raised the BLEU score from 85.55 to 86.07, well below the averaged perceptron model’s BLEU score of 87.93.
generative model is mentioned in 4 sentences in this paper.
Topics mentioned in this paper:
Parikh, Ankur P. and Cohen, Shay B. and Xing, Eric P.
Abstract
Our generative model deterministically maps a POS sequence to a bracketing via an undirected
Abstract
The complete generative model that we follow is then:
Abstract
Our learning algorithm focuses on recovering the undirected tree based for the generative model that was described above.
generative model is mentioned in 4 sentences in this paper.
Topics mentioned in this paper: