Post-processing

method ID: postprocessing

Related Papers

An EBMT system based on word alignment

Authors: nan

Publication: TIPSTER (2004)

DOI: nan

This system is an experiment of examples based approach. It is based on a corpus containing 220 thousand sentence pairs with word alignment. The system contains four parts: matching and …...

19939

Redundancy-based Correction of Automatically Extracted Facts

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Publication: TIPSTER (2005)

DOI: nan

The accuracy of event extraction is lim- ited by a number of complicating factors, with errors compounded at all sages in- side the Information Extraction pipeline. In this paper, we …...

12826

Semantic Role Labeling System Using Maximum Entropy Classifier

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A maximum entropy classifier is used in our semantic role labeling system, which takes syntactic constituents as the labeling units. The maximum entropy classifier is trained to identify and classify …...

42373

Variations prosodiques en synthèse par sélection d’unités: l’exemple des phrases interrogatives (Prosodic variations in unit-based speech synthesis: the example of interrogative sentences) [in French]

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Prosodic variations in unit-based speech synthesis: the example of interrogative sentences This paper proposes an automatic method to increase the number of possible prosodic variations in non-uniform unit-based speech synthesis. …...

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The IIT Bombay Hindi-English Translation System at WMT 2014

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28193

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Publication: TIPSTER (2016)

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Semantic dependency parsing aims at ex- tracting arcs and semantic role labels for all words in a sentence. In this paper, we propose a semantic dependency parser which is based …...

22398

Bulgarian-English and English-Bulgarian Machine Translation: System Design and Evaluation

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AbstractThe paper presents a deep factored machine translation (MT) system between English and Bulgarian languages in both directions. The MT system is hybrid. It consists of three main steps: (1) …...

20397

Summary Refinement through Denoising

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Publication: TIPSTER (2019)

DOI: nan

AbstractWe propose a simple method for post-processing the outputs of a text summarization system in order to refine its overall quality. Our approach is to train text-to-text rewriting models to …...

19718

GGP: Glossary Guided Post-processing for Word Embedding Learning

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AbstractWord embedding learning is the task to map each word into a low-dimensional and continuous vector based on a large corpus. To enhance corpus based word embedding models, researchers utilize …...

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A Novel Machine Learning Based Approach for Post-OCR Error Detection

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AbstractPost processing is the most conventional approach for correcting errors that are caused by Optical Character Recognition(OCR) systems. Two steps are usually taken to correct OCR errors: detection and corrections. …...

20177

Effect of Post-processing on Contextualized Word Representations

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AbstractPost-processing of static embedding has been shown to improve their performance on both lexical and sequence-level tasks. However, post-processing for contextualized embeddings is an under-studied problem. In this work, we …...

4945

The ARC-NKUA Submission for the English-Ukrainian General Machine Translation Shared Task at WMT22

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Publication: TIPSTER (2022)

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27559