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otherentity ID: dataquality

Related Papers

Communication in large distributed AI Systems for Natural Language Processing

Authors: nan

Publication: TIPSTER (1996)

DOI: nan

We. are going to describe the design and implementatior, of a connnuniea- lion system l.or large AI projects, ca- pable of supporting various software components in a heterogeneous hard- ware …...

7060

Boosting Applied to Tagging and PP Attachment

Authors: nan

Publication: TIPSTER (1999)

DOI: nan

Boosting is a machine learning algorithm that is not well known in computational linguistics. We ap- ply it to part-of-speech tagging and prepositional phrase attachment. Performance is very encourag- ing. …...

43468

SUMAT: Data Collection and Parallel Corpus Compilation for Machine Translation of Subtitles

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

AbstractSubtitling and audiovisual translation have been recognized as areas that could greatly benefit from the introduction of Statistical Machine Translation (SMT) followed by post-editing, in order to increase efficiency of …...

13973

Dramatically Reducing Training Data Size Through Vocabulary Saturation

Authors: nan

Publication: TIPSTER (2013)

DOI: nan

Our field has seen significant improve- ments in the quality of machine translation systems over the past several years. The single biggest factor in this improvement has been the accumulation …...

27882

Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractWe consider the problem of learning general-purpose, paraphrastic sentence embeddings in the setting of Wieting et al. (2016b). We use neural machine translation to generate sentential paraphrases via back-translation of …...

33094

Intrinsic Evaluation of Summarization Datasets

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractHigh quality data forms the bedrock for building meaningful statistical models in NLP. Consequently, data quality must be evaluated either during dataset construction or *post hoc*. Almost all popular summarization …...

29802

How well do you know your summarization datasets?

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

State-of-the-art summarization systems are trained and evaluated on massive datasets scraped from the web. Despite their preva- lence, we know very little about the underly- ing characteristics (data noise, summarization …...

33881

Machine translation of anonymized documents with human-in-the-loop

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractIn this paper, we introduce a workflow that utilizes human-in-the-loop for post-editing anonymized texts, with the aim of reconciling the competing needs of data privacy and data quality. By combining …...

2965