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Interactive query expansion for professional search applications ...
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2
ur-iw-hnt at GermEval 2021: An Ensembling Strategy with Multiple BERT Models ...
Tran, Hoai Nam; Kruschwitz, Udo. - : arXiv, 2021
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3
University of Regensburg @ SwissText 2021 SEPP-NLG: Adding Sentence Structure to Unpunctuated Text
Donabauer, Gregor; Kruschwitz, Udo. - : RWTH Aachen, 2021
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4
Phrase Detectives Corpus Version 2
Chamberlain, Jon; Paun, Silviu; Yu, Juntao. - : Linguistic Data Consortium, 2019. : https://www.ldc.upenn.edu, 2019
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5
Phrase Detectives Corpus Version 2 ...
Chamberlain, Jon; Paun, Silviu; Yu, Juntao. - : Linguistic Data Consortium, 2019
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6
Crowdsourcing and Aggregating Nested Markable Annotations ...
Madge, Chris; Yu, Juntao; Chamberlain, Jon. - : Universität Regensburg, 2019
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7
Crowdsourcing and Aggregating Nested Markable Annotations
Madge, Chris; Yu, Juntao; Chamberlain, Jon. - : Association for Computational Linguistics, 2019
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8
A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation
Paun, Silviu; Uma, Alexandra; Poesio, Massimo. - : Association for Computational Linguistics, 2019
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9
Crowdsourcing and Aggregating Nested Markable Annotations
Poesio, Massimo; Yu, Juntao; Chamberlain, Jon. - : Association for Computational Linguistics, 2019
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10
A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation
Poesio, Massimo; Chamberlain, Jon; Paun, Silviu. - : Association for Computational Linguistics, 2019
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11
Exploring Language Style in Chatbots to Increase Perceived Product Value and User Engagement
Elsholz, Ela; Chamberlain, Jon; Kruschwitz, Udo. - : ACM (Association for Computing Machinery), 2019
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12
Comparing Bayesian Models of Annotation
Paun, Silviu; Carpenter, Bob; Hovy, Dirk. - : Association for Computational Linguistics, 2018
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13
A Probabilistic Annotation Model for Crowdsourcing Coreference
Kruschwitz, Udo; Chamberlain, Jon; Yu, Juntao. - : Association for Computational Linguistics, 2018
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14
Comparing Bayesian Models of Annotation
Paun, S.; Carpenter, B.; Chamberlain, J. D.; Hovy, D.; Kruschwitz, Udo; Poesio, Massimo. - : Association for Computational Linguistics, 2018
Abstract: Crowdsourcing has revolutionised the way tasks can be completed but the process is frequently inefficient, costing practitioners time and money. This research investigates whether crowdsourcing can be optimised with a validation process, as measured by four criteria: quality; cost; noise; and speed. A validation model is described, simulated and tested on real data from an online crowdsourcing game to collect data about human language. Results show that by adding an agreement validation (or a like/upvote) step fewer annotations are required, noise and collection time are reduced and quality may be improved.
Keyword: 020 Bibliotheks- und Informationswissenschaft; ddc:020
URL: https://epub.uni-regensburg.de/40304/1/tacl_a_00040.pdf
https://epub.uni-regensburg.de/40304/
https://doi.org/10.1162/tacl_a_00040
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15
Phrase Detectives Corpus
Chamberlain, Jon; Poesio, Massimo; Kruschwitz, Udo. - : Linguistic Data Consortium, 2017. : https://www.ldc.upenn.edu, 2017
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16
Phrase Detectives Corpus ...
Chamberlain, Jon; Poesio, Massimo; Kruschwitz, Udo. - : Linguistic Data Consortium, 2017
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17
The SENSEI Project: Making Sense of Human Conversations
Riccardi, Giuseppe; Bechet, Frederic; Danieli, Morena. - : Springer International Publishing, 2016
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18
MultiLing 2015: Multilingual Summarization of Single and Multi-Documents, On-line Fora, and Call-center Conversations
In: Sigdial ; https://hal-amu.archives-ouvertes.fr/hal-01194230 ; Sigdial, 2015, Unknown, Unknown Region (2015)
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19
Creating language resources for under-resourced languages:methodologies, and experiments with Arabic
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20
Creating language resources for under-resourced languages: methodologies, and experiments with Arabic
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