Дискриминативная перенумерация

This paper describes the application of discrim- inative reranking techniques to the problem of machine translation. For each sentence in the source language, we obtain from a baseline sta- tistical …...

We present a semantic role labeling sys- tem submitted to the closed track of the CoNLL-2005 shared task. The system, in- troduced in (Toutanova et al., 2005), im- plements a …...

Discriminative reranking is one method for constructing high-performance statis- tical parsers (Collins, 2000). A discrim- inative reranker requires a source of can- didate parses for each sentence. This pa- per …...

In this paper, we present an algorithm for learning a generative model of natural lan- guage sentences together with their for- mal meaning representations with hierarchi- cal structures. The model …...

This paper shows that discriminative reranking with an averaged perceptron model yields substantial improvements in realization quality with CCG. The paper confirms the utility of including language model log probabilities …...

This paper addresses the problem of produc- ing a diverse set of plausible translations. We present a simple procedure that can be used with any statistical machine translation (MT) system. …...

We adapt discriminative reranking to im- prove the performance of grounded lan- guage acquisition, specifically the task of learning to follow navigation instructions from observation. Unlike conventional reranking used in …...

The current approaches to Semantic Role Labeling (SRL) usually perform role clas- sification for each predicate separately and the interaction among individual predi- cate’s role labeling is ignored if there …...

We present an approach to structured prediction from bandit feedback, called Bandit Structured Prediction, where only the value of a task loss function at a single predicted point, instead of …...

Model combination techniques have con- sistently shown state-of-the-art perfor- mance across multiple tasks, including syntactic parsing. However, they dramat- ically increase runtime and can be diffi- cult to employ in …...