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Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students?
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In: Transactions of the Association for Computational Linguistics, Vol 10, Pp 359-375 (2022) (2022)
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WikiAsp: A Dataset for Multi-domain Aspect-based Summarization
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 211-225 (2021) (2021)
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Lexically Aware Semi-Supervised Learning for OCR Post-Correction
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1285-1302 (2021) (2021)
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How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 962-977 (2021) (2021)
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Reducing Confusion in Active Learning for Part-Of-Speech Tagging
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1-16 (2021) (2021)
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MasakhaNER: Named Entity Recognition for African Languages
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1116-1131 (2021) (2021)
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Abstract:
AbstractWe take a step towards addressing the under- representation of the African continent in NLP research by bringing together different stakeholders to create the first large, publicly available, high-quality dataset for named entity recognition (NER) in ten African languages. We detail the characteristics of these languages to help researchers and practitioners better understand the challenges they pose for NER tasks. We analyze our datasets and conduct an extensive empirical evaluation of state- of-the-art methods across both supervised and transfer learning settings. Finally, we release the data, code, and models to inspire future research on African NLP.1
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Keyword:
Computational linguistics. Natural language processing; P98-98.5
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URL: https://doi.org/10.1162/tacl_a_00416 https://doaj.org/article/07e7ec6a468e4df198aa92181a9205b3
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Collection of a simultaneous translation corpus for comparative analysis
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In: http://www.lrec-conf.org/proceedings/lrec2014/pdf/162_Paper.pdf (2014)
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A monotonic statistical machine translation approach to speaking style transformation
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In: http://www.phontron.com/paper/neubig12csl.pdf (2012)
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An Event-Related Brain Potential Study on the Impact of Speech Recognition Errors
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In: http://www.phontron.com/paper/sakti14apsipa.pdf
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The NAIST English Speech Recognition System for IWSLT 2015
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In: http://www.phontron.com/paper/heck15iwslt.pdf
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The NAIST English Speech Recognition System for IWSLT 2015
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In: http://workshop2015.iwslt.org/downloads/IWSLT_2015_EP_8.pdf
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Rule-based Syntactic Preprocessing for Syntax-based Machine Translation
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In: http://www.aclweb.org/anthology/W/W14/W14-4004.pdf
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Unsupervised Learning of Lexical Information for Language Processing Systems
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In: http://www.phontron.com/paper/neubig-thesis.pdf
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Data-Driven Generation of Text Balloons based on Linguistic and Acoustic Features of a Comics-Anime Corpus
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In: http://www.phontron.com/paper/matsumiya14interspeech.pdf
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INTERSPEECH 2010 Learning a Language Model from Continuous Speech
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In: http://www.ar.media.kyoto-u.ac.jp/EN/bib/intl/NEU-INTERSP10.pdf
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Neural Reranking Improves Subjective Quality of Machine Translation: NAIST at WAT2015
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In: http://www.phontron.com/paper/neubig15wat.pdf
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Neural Reranking Improves Subjective Quality of Machine Translation: NAIST at WAT2015
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In: http://wing.comp.nus.edu.sg/%7Eantho/W/W15/W15-5003.pdf
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Substring-based Machine Translation
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In: http://www.phontron.com/paper/neubig13mtj.pdf
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TOWARDS LANGUAGE PRESERVATION: PRELIMINARY COLLECTION AND VOWEL ANALYSIS OF INDONESIAN ETHNIC SPEECH DATA
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In: http://www.phontron.com/paper/sani12ococosda.pdf
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TOWARDS LANGUAGE PRESERVATION: PRELIMINARY COLLECTION AND VOWEL ANALYSIS OF INDONESIAN ETHNIC SPEECH DATA
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In: http://spalab.naist.jp/~tomoki/Tomoki/Conferences/OCOCOSDA2012_LangPreserv.pdf
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