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1
Shallow discourse parsing for German
Stede, Manfred (Akademischer Betreuer); Bourgonje, Peter; Kosseim, Leila (Akademischer Betreuer). - Potsdam, 2021
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UB Frankfurt Linguistik
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2
Unifying dimensions in coherence relations: how various annotation frameworks are related
In: Corpus linguistics and linguistic theory. - Berlin ; New York : Mouton de Gruyter 17 (2021) 1, 1-71
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3
DELA Corpus - A Document-Level Corpus Annotated with Context-Related Issues
In: Castilho, Sheila orcid:0000-0002-8416-6555 , Cavalheiro Camargo, João Lucas orcid:0000-0003-3746-1225 , Menezes, Miguel and Way, Andy orcid:0000-0001-5736-5930 (2021) DELA Corpus - A Document-Level Corpus Annotated with Context-Related Issues. In: Sixth Conference on Machine Translation (WMT21), 10-11 Nov 2021, Punta Cana, Dominican Republic (Online). ISBN 978-1-954085-94-7 (2021)
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4
Large-scale study of speech acts' development using automatic labelling
In: Proceedings of the 43rd Annual Meeting of the Cognitive Science Society ; https://hal.archives-ouvertes.fr/hal-03234620 ; Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, Jul 2021, Vienna, Austria (2021)
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5
Multitask Transformer Model-based Fintech Customer Service Chatbot NLU System with DECO-LGG SSP-based Data ; DECO-LGG 반자동 증강 학습데이터 활용 멀티태스크 트랜스포머 모델 기반 핀테크 CS 챗봇 NLU 시스템
In: Annual Conference on Human and Language Technology ; https://hal.archives-ouvertes.fr/hal-03603903 ; Annual Conference on Human and Language Technology, Oct 2021, Séoul, South Korea. pp.461-466 ; http://www.koreascience.or.kr/journal/OOGHAK.page (2021)
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6
Automatic Language Identification in Code-Switched Hindi-English Social Media Text
In: Journal of Open Humanities Data; Vol 7 (2021); 7 ; 2059-481X (2021)
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7
Semi-automatic Annotation Proposal for Increasing a Fake News Dataset in Spanish
Bonet-Jover, Alba. - : CEUR, 2021
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8
The natural language processing workshop : confidently design and build your own NLP projects with this easy-to-understand guide
Godbole, Aniruddha M.; Bashir Shah, Muzaffar; Chopra, Rohan. - Birmingham, UK : Packt, 2020
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UB Frankfurt Linguistik
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9
Le traitement automatique des langues en question : des machines qui comprennent le français ?
Cori, Marcel. - [Paris] : Cassini, 2020
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UB Frankfurt Linguistik
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10
POS-Tagging für Transkripte gesprochener Sprache : Entwicklung einer automatisierten Wortarten-Annotation am Beispiel des Forschungs- und Lehrkorpus Gesprochenes Deutsch (FOLK)
Westpfahl, Swantje. - Tübingen : Narr Francke Attempto, 2020
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UB Frankfurt Linguistik
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11
SMAD: A tool for automatically annotating the smile intensity along a video record
In: HRC2020, 10th Humour Research Conference ; https://hal.archives-ouvertes.fr/hal-02529371 ; HRC2020, 10th Humour Research Conference, Mar 2020, Commerce, Texas, United States (2020)
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12
Eines computacionals per a la creació i explotació de corpus orals en català
In: Zeitschrift für Katalanistik. - Freiburg : Romanisches Seminar der Universität 33 (2020), 131-154
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13
Christian Fandrych (Hrsg.): Gesprochene Wissenschaftssprache. Tübingen: Stauffenburg Verlag, 2017
In: Informationen Deutsch als Fremdsprache. - Berlin : De Gruyter 47 (2020) 2-3, 205-208
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14
Hindi Visual Genome 1.1
Parida, Shantipriya; Bojar, Ondřej. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2020
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15
Large-Scale Colloquial Persian 0.5
Abdi Khojasteh, Hadi; Ansari, Ebrahim; Bohlouli, Mahdi. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2020. : Institute for Advanced Studies in Basic Sciences (IASBS), 2020
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16
Isabel Moskowich (ed.): 'The conditioned and the unconditioned'. Amsterdam: John Benjamins Publishing Company, 2016
In: English language and linguistics. - Cambridge : Cambridge Univ. Press 23 (2019) 1, 221-226
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17
Automatic annotation of error types for grammatical error correction ...
Bryant, Christopher Jack. - : Apollo - University of Cambridge Repository, 2019
Abstract: Grammatical Error Correction (GEC) is the task of automatically detecting and correcting grammatical errors in text. Although previous work has focused on developing systems that target specific error types, the current state of the art uses machine translation to correct all error types simultaneously. A significant disadvantage of this approach is that machine translation does not produce annotated output and so error type information is lost. This means we can only evaluate a system in terms of overall performance and cannot carry out a more detailed analysis of different aspects of system performance. In this thesis, I develop a system to automatically annotate parallel original and corrected sentence pairs with explicit edits and error types. In particular, I first extend the Damerau- Levenshtein alignment algorithm to make use of linguistic information when aligning parallel sentences, and supplement this alignment with a set of merging rules to handle multi-token edits. The output from this algorithm ...
Keyword: Automatic Annotation; Grammatical Error Correction; Natural Language Processing
URL: https://dx.doi.org/10.17863/cam.40832
https://www.repository.cam.ac.uk/handle/1810/293719
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18
PE2 rr corpus: manual error annotation of automatically pre-annotated MT post-edits
Popovic, Maja; Arcan, Mihael. - : European Language Resources Association, 2019
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19
Automatic annotation of error types for grammatical error correction
Bryant, Christopher Jack. - : University of Cambridge, 2019. : Computer Science and Technology, 2019. : Churchill, 2019
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20
Annotation des proéminences pour la segmentation de corpus oraux : l’expérience du projet SegCor
In: CMLF 2018 - 6e Congrès Mondial de Linguistique Française ; https://halshs.archives-ouvertes.fr/halshs-01839314 ; CMLF 2018 - 6e Congrès Mondial de Linguistique Française, Franck Neveu; Bernard Harmegnies; Linda Hriba; Sophie Prévost, Jul 2018, Mons, Belgique (2018)
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