Výsledky vyhledávání - "Tian, Zheng‐Wei"

Bandit algorithms to personalize educational chatbots

Autor: Sharad Goel, Johnny Tian-Zheng Wei, Joseph Jay Williams, Zhiyuan Jerry Lin, Hao Sheng, William Cai, Josh Grossman

Publikováno v: Machine Learning. 110:2389-2418

To emulate the interactivity of in-person math instruction, we developed MathBot, a rule-based chatbot that explains math concepts, provides practice questions, and offers tailored feedback. We evaluated MathBot through three Amazon Mechanical Turk s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d3e3bfd8093a07cb062a4402f8f849ea
https://doi.org/10.1007/s10994-021-05983-y

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The statistical advantage of automatic NLG metrics at the system level

Autor: Robin Jia, Johnny Tian-Zheng Wei

Publikováno v: ACL/IJCNLP (1)

Estimating the expected output quality of generation systems is central to NLG. This paper qualifies the notion that automatic metrics are not as good as humans in estimating system-level quality. Statistically, humans are unbiased, high variance est

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8619c534855bc541dc43253a678f1c6a

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Results of the WMT19 metrics shared task: segment-level and strong MT systems pose big challenges

Autor: Qingsong Ma, Ondrej Bojar, Johnny Tian-Zheng Wei, Yvette Graham

Publikováno v: Ma, Qingsong, Wei, Johnny Tian-Zheng, Bojar, Ondřej ORCID: 0000-0002-0606-0050 and Graham, Yvette (2019) Results of the WMT19 metrics shared task: segment-level and strong MT systems pose big challenges. In: Fourth Conference on Machine Translation, 1-2 Aug 2019, Florence, Italy.
WMT (2)

This paper presents the results of the WMT19 Metrics Shared Task. Participants were asked to score the outputs of the translations systems competing in the WMT19 News Translation Task with automatic metrics. 13 research groups submitted 24 metrics, 1

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e211039289fb818541ef7d6eb6e24ddd
http://doras.dcu.ie/24262/

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Twitter Universal Dependency Parsing for African-American and Mainstream American English

Autor: Johnny Tian-Zheng Wei, Brendan O'Connor, Su Lin Blodgett

Publikováno v: ACL (1)

Due to the presence of both Twitter-specific conventions and non-standard and dialectal language, Twitter presents a significant parsing challenge to current dependency parsing tools. We broaden English dependency parsing to handle social media Engli

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e7911fda1cd54e70ddf3de34e74eda4b
https://doi.org/10.18653/v1/p18-1131

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Evaluating Grammaticality in Seq2seq Models with a Broad Coverage HPSG Grammar: A Case Study on Machine Translation

Autor: Brendan O'Connor, Khiem Pham, Brian Dillon, Johnny Tian-Zheng Wei

Publikováno v: BlackboxNLP@EMNLP

Sequence to sequence (seq2seq) models are often employed in settings where the target output is natural language. However, the syntactic properties of the language generated from these models are not well understood. We explore whether such output be

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c0602e8aa7502ea26005a876f3ca7c7a
https://doi.org/10.18653/v1/w18-5432

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A Dataset and Classifier for Recognizing Social Media English

Autor: Brendan O'Connor, Johnny Tian-Zheng Wei, Su Lin Blodgett

Publikováno v: NUT@EMNLP

While language identification works well on standard texts, it performs much worse on social media language, in particular dialectal language—even for English. First, to support work on English language identification, we contribute a new dataset o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3c8289a1ee1fd562850b4c0ba1a790b5
https://doi.org/10.18653/v1/w17-4408

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