Sentence examples for the text processing from inspiring English sources
The Text Processing module is used to extract textual units from document collections and process them into a format suitable for use by the Information Extraction module.
The task dimension is about the kind of problems, we solve through the text processing.
And the text processing can be used in several ways, to enhance voice mail as Google Voice and Ribbit do, and most importantly as a filtering mechanism to determine dynamically who sees what in the message stream.
In future work, it would be useful to differentiate between these cases the former are artifacts of the text processing strategy, while the incidence of the latter is a genuine index of the difficulty of the task.
The main advantage of CRFs is that they estimate the conditional probability distribution over labeled sequences and allow the information on the confidence of the decision to be used by other components in the text processing pipeline.[34], [35] We employed a linear chain CRF model trained on the annotated corpora converted to a standard named entity recognition data format.
Figure 2 presents the text processing steps in our system.
In this way, we have proposed an ensemble system to find the best way to combine the state-of-the-art text processing approaches, as text normalization and semantic indexing techniques, with traditional classification methods to automatically detect opinion in short text messages.
In particular, the auditory-recency-effect explanation, which predicts that both effects should disappear when longer texts are presented, was tested against the text-processing explanation, which predicts that both effects should even reverse if text-processing strategies can be applied.
QG designed and constructed the text-processing application and improved it when necessary.
AMC and KA built the automated text processing system and ran the machine learning experiments.
The proposed text processing approach is based on lexicographic and semantic dictionaries along with state-of-the-art techniques for semantic analysis and context detection.
