[PDF] Top 20 Distilling Knowledge for Search based Structured Prediction

... into structured prediction and solved as a search ...the search space and learn from the encountered states in the ...typical search-based structured prediction ... See full document

... our knowledge, SQA is the first semantic parsing dataset that addresses sequential question ...state–action search problem, our method learns modular neu- ral network models through reward-guided ... See full document

... Since the features extracted for an action depend on previous ones, we need to define a prediction or- der for the actions. In trigger recognition, we pro- cess the tokens from left to right since modifiers ... See full document

... one of the three sequentializations. In the three cases, the LSTM predictor cannot on its own en- sure the grammaticality of the predicted sequence, so that some sequences do not lead to well-formed LFs. However, in the ... See full document

... a structured neural transition-based parser by adopting beam search and early ...performing structured predic- tion using a neural ...their structured neural parser uses a greedy ... See full document

... of structured prediction assumes exact inference, which is often in- tractable in many practical ...beam search but there is not much theory behind it. Based on the structured ... See full document

... a structured prediction problem in which the output for a given instance is a (possibly disconnected) directed acyclic graph (not necessarily a tree) in which vertices correspond to triggers or protein ... See full document

... current Neural Networks), on the other hand, have been shown to be extremely good at identifying pat- terns from noisy text data, but they still predict each word label in isolation and not as a part of a se- quence. In ... See full document

... prior knowledge for either model training or region detection, which are expensive and time-consuming for human ...understanding based on kernel methods for structured ... See full document

... space search framework, the role of the cost function C is to eval- uate the complete outputs that are uncovered by the search ...the search procedure as a type of heuristic guidance and also used ... See full document

... novel search-based neural event detection model that detects overlapping and nested events with beam search by formulating it as a structured prediction task for DAG ...by ... See full document

... features based on whether it forms an undirected cycle with previously predicted Themes, whether the trigger has been assigned a pro- tein as a Theme and the candidate Theme is an event trigger (and the reverse) ... See full document

... could still find an exact solution to the hinge-loss relaxation of Average Precision (AP) for the struc- tural SVM approach. It is found for the partic- ular case of a combined feature mapping of in- puts and ... See full document

... Representation Learning based Approaches employ neural networks to automatically extract features for event detection, including: DMCNN (Chen et al., 2015) which uses CNN as sentence feature extractor and ... See full document

... Clustering can be considered the most important unsupervised learning problem .It is the process of organizing objects into groups whose members are similar in some way A cluster is therefore a collection of objects ... See full document

... in structured prediction is by Collins (2001), who developed risk bounds for language parsers using various classical tools, such as the Vapnik-Chervonenkis dimension and margin ...various structured ... See full document

... The table also reports accuracy numbers when we allow the process to run up to 1 second — which is basically an exhaustive search but not practically useful. These numbers shed some light on why an unlimited ... See full document

... Until quite recently, existing approaches to this type of second-order extraction task have relied heavily on domain knowledge and feature engi- neering (Rambow et al., 2016b; Niculae et al., 2016; Dalton et al., ... See full document

... keyword search in order to fetch the correct and proximal result on Semi-Structured ...semi structured documents such as web pages and XML documents is still difficult because it has no the proper ... See full document

... Learning Based Programming (LBP) (Roth, 2005) is such a principled ...we structured our frame- work around Learning Based Java (LBJ), an instance of ... See full document