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1
Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students?
In: Transactions of the Association for Computational Linguistics, Vol 10, Pp 359-375 (2022) (2022)
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2
WikiAsp: A Dataset for Multi-domain Aspect-based Summarization
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 211-225 (2021) (2021)
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3
Lexically Aware Semi-Supervised Learning for OCR Post-Correction
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1285-1302 (2021) (2021)
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4
How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 962-977 (2021) (2021)
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5
Reducing Confusion in Active Learning for Part-Of-Speech Tagging
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1-16 (2021) (2021)
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6
MasakhaNER: Named Entity Recognition for African Languages
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1116-1131 (2021) (2021)
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
Keyword: Computational linguistics. Natural language processing; P98-98.5
URL: https://doi.org/10.1162/tacl_a_00416
https://doaj.org/article/07e7ec6a468e4df198aa92181a9205b3
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7
Collection of a simultaneous translation corpus for comparative analysis
In: http://www.lrec-conf.org/proceedings/lrec2014/pdf/162_Paper.pdf (2014)
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8
A monotonic statistical machine translation approach to speaking style transformation
In: http://www.phontron.com/paper/neubig12csl.pdf (2012)
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9
An Event-Related Brain Potential Study on the Impact of Speech Recognition Errors
In: http://www.phontron.com/paper/sakti14apsipa.pdf
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10
The NAIST English Speech Recognition System for IWSLT 2015
In: http://www.phontron.com/paper/heck15iwslt.pdf
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11
The NAIST English Speech Recognition System for IWSLT 2015
In: http://workshop2015.iwslt.org/downloads/IWSLT_2015_EP_8.pdf
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12
Rule-based Syntactic Preprocessing for Syntax-based Machine Translation
In: http://www.aclweb.org/anthology/W/W14/W14-4004.pdf
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13
Unsupervised Learning of Lexical Information for Language Processing Systems
In: http://www.phontron.com/paper/neubig-thesis.pdf
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14
Data-Driven Generation of Text Balloons based on Linguistic and Acoustic Features of a Comics-Anime Corpus
In: http://www.phontron.com/paper/matsumiya14interspeech.pdf
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15
INTERSPEECH 2010 Learning a Language Model from Continuous Speech
In: http://www.ar.media.kyoto-u.ac.jp/EN/bib/intl/NEU-INTERSP10.pdf
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16
Neural Reranking Improves Subjective Quality of Machine Translation: NAIST at WAT2015
In: http://www.phontron.com/paper/neubig15wat.pdf
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17
Neural Reranking Improves Subjective Quality of Machine Translation: NAIST at WAT2015
In: http://wing.comp.nus.edu.sg/%7Eantho/W/W15/W15-5003.pdf
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18
Substring-based Machine Translation
In: http://www.phontron.com/paper/neubig13mtj.pdf
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19
TOWARDS LANGUAGE PRESERVATION: PRELIMINARY COLLECTION AND VOWEL ANALYSIS OF INDONESIAN ETHNIC SPEECH DATA
In: http://www.phontron.com/paper/sani12ococosda.pdf
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20
TOWARDS LANGUAGE PRESERVATION: PRELIMINARY COLLECTION AND VOWEL ANALYSIS OF INDONESIAN ETHNIC SPEECH DATA
In: http://spalab.naist.jp/~tomoki/Tomoki/Conferences/OCOCOSDA2012_LangPreserv.pdf
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