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1
Sentence comprehension as a cognitive process : a computational approach
Vasishth, Shravan [Verfasser]; Engelmann, Felix [Verfasser]. - Cambridge : Cambridge University Press, 2021
Leibniz-Zentrum Allgemeine Sprachwissenschaft
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2
The corpora they are a-changing: a case study in Italian newspapers
In: Basile, Pierpaolo orcid:0000-0002-0545-1105 , Caputo, Annalina orcid:0000-0002-7144-8545 , Caselli, Tommaso orcid:0000-0003-2936-0256 , Cassotti, Pierluigi and Varvara, Rossella orcid:0000-0001-9957-2807 (2021) The corpora they are a-changing: a case study in Italian newspapers. In: 2nd International Workshop on Computational Approaches to Historical Language Change 2021, Online. (2021)
BASE
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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)
BASE
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4
English machine reading comprehension: new approaches to answering multiple-choice questions
Dzendzik, Daria. - : Dublin City University. School of Computing, 2021. : Dublin City University. ADAPT, 2021
In: Dzendzik, Daria (2021) English machine reading comprehension: new approaches to answering multiple-choice questions. PhD thesis, Dublin City University. (2021)
BASE
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5
Chinese character decomposition for neural MT with multi-word expressions
In: Han, Lifeng orcid:0000-0002-3221-2185 , Jones, Gareth J.F. orcid:0000-0003-2923-8365 , Smeaton, Alan F. orcid:0000-0003-1028-8389 and Bolzoni, Paolo (2021) Chinese character decomposition for neural MT with multi-word expressions. In: 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021), 31 May- 2 June 2021, Reykjavik, Iceland (Online). (In Press) (2021)
BASE
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6
cushLEPOR uses LABSE distilled knowledge to improve correlation with human translation evaluations
In: Erofeev, Gleb, Sorokina, Irina, Han, Lifeng orcid:0000-0002-3221-2185 and Gladkoff, Serge (2021) cushLEPOR uses LABSE distilled knowledge to improve correlation with human translation evaluations. In: Machine Translation Summit 2021, 16-20 Aug 2021, USA (online). (In Press) (2021)
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7
Monte Carlo modelling of confidence intervals in translation quality evaluation (TQE) and post-editing dstance (PED) measurement
In: Alekseeva, Alexandra orcid:0000-0002-7990-4592 , Gladkoff, Serge, Sorokina, Irina and Han, Lifeng orcid:0000-0002-3221-2185 (2021) Monte Carlo modelling of confidence intervals in translation quality evaluation (TQE) and post-editing dstance (PED) measurement. In: Metrics 2021: Workshop on Informetric and Scientometric Research (SIG-MET), 23-24 Oct 2021, Online. (2021)
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8
Meta-evaluation of machine translation evaluation methods
In: Han, Lifeng orcid:0000-0002-3221-2185 (2021) Meta-evaluation of machine translation evaluation methods. In: Workshop on Informetric and Scientometric Research (SIG-MET), 23-24 Oct 2021, Online. (2021)
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9
Proactive information retrieval
Sen, Procheta. - : Dublin City University. School of Computing, 2021. : Dublin City University. ADAPT, 2021
In: Sen, Procheta (2021) Proactive information retrieval. PhD thesis, Dublin City University. (2021)
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10
Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics ; Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics: Dagstuhl Seminar 21351
In: Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03507948 ; Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics, Aug 2021, pp.89--138, 2021, 2192-5283. ⟨10.4230/DagRep.11.7.89⟩ ; https://gitlab.com/unlid/dagstuhl-seminar/-/wikis/home (2021)
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11
Type-logical investigations: proof-theoretic, computational and linguistic aspects of modern type-logical grammars
Moot, Richard. - : HAL CCSD, 2021
In: https://hal-lirmm.ccsd.cnrs.fr/tel-03452731 ; Computation and Language [cs.CL]. Université Montpellier, 2021 (2021)
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12
Weak supervision for learning discourse structure in multi-party dialogues ; Supervision distante pour l'apprentissage de structures discursives dans les conversations multi-locuteurs
Badene, Sonia. - : HAL CCSD, 2021
In: https://tel.archives-ouvertes.fr/tel-03622653 ; Artificial Intelligence [cs.AI]. Université Paul Sabatier - Toulouse III, 2021. English. ⟨NNT : 2021TOU30138⟩ (2021)
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13
Arc-Eager Construction Provides Learning Advantage Beyond Stack Management
Barnett, Phillip A. - : eScholarship, University of California, 2021
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14
Machine Learning Meets Natural Language Processing - The Story so Far
In: IFIP Advances in Information and Communication Technology ; 17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI) ; https://hal.inria.fr/hal-03287671 ; 17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.673-686, ⟨10.1007/978-3-030-79150-6_53⟩ (2021)
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15
Fachinformationsdienst Linguistik zwischen Innovation und Tradition [Online resource]
In: Workshop "Neue Formate in der Wissenschaftskommunikation - Herausforderung für die Informationsversorgung?" (2021), 1-39
Linguistik-Repository
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16
Dialogue Modeling in a Dynamic Framework ; Modélisation dynamique des dialogues
Boritchev, Maria. - : HAL CCSD, 2021
In: https://hal.archives-ouvertes.fr/tel-03541628 ; Computation and Language [cs.CL]. Université de Lorraine; École doctorale IAEM Lorraine - Informatique, Automatique, Électronique - Électrotechnique, Mathématiques de Lorraine, 2021. English. ⟨NNT : 2021LORR0199⟩ (2021)
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17
Are we summarizing the right way? : a survey of dialogue summarization data sets ...
Tuggener, Don; Mieskes, Margot; Deriu, Jan Milan. - : Association for Computational Linguistics, 2021
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18
SDPRA 2021 Shared Task Data ...
Reddy, Saichethan. - : Mendeley, 2021
Abstract: Any particular research article goes through discrete filtering steps to get published in a reputed journal or conference. The first step in the peer review process is the editor’s initial screening(s). The editor’s job, who is also an expert in the particular field, decides whether an article should be rejected without further review or forwarded to expert reviewers for meticulous evaluation. Acceptance of paper depends heavily on the reviewers. It’s becoming more common for people to share their reviews on social media, especially when reviewers reject their work on spurious grounds. This shared task focuses on identifying topics or category of scientific articles, which in turn can help us in efficiently storing large number of articles, retrieving related papers, and in building personal recommendation systems. For this task we collected a total of 35000 abstracts scientific article(computer science) from different corpora. Given an abstract of a paper, the objective of the shared task is to classify it ...
Keyword: Computational Linguistics; Peer Review
URL: https://data.mendeley.com/datasets/njb74czv49
https://dx.doi.org/10.17632/njb74czv49
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19
SDPRA 2021 Shared Task Data ...
Reddy, Saichethan. - : Mendeley, 2021
BASE
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20
Computer-Assisted Language Comparison ...
List, Johann-Mattis. - : Humanities Commons, 2021
BASE
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