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1
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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2
A bathtub by any other name: the reduction of German compounds in predictive contexts
In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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3
Recognition of Minimal Pairs in (un)predictive Sentence Contexts in two Types of Noise
In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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4
Pragmatics of Metaphor Revisited: Formalizing the Role of Typicality and Alternative Utterances in Metaphor Understanding
In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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5
DiscAlign for Penn and RST Discourse Treebanks
Demberg, Vera; Asr, Fatemeh Torabi; Scholman, Merel C.J.. - : Linguistic Data Consortium, 2021. : https://www.ldc.upenn.edu, 2021
Abstract: *Introduction* DiscAlign for Penn and RST Discourse Treebanks was developed by Saarland University. It consists of alignment information for the discourse annotations contained in Penn Discourse Treebank Version 2.0 (LDC2008T05) (PDTB 2.0) and RST Discourse Treebank (LDC2002T07) (RST-DT). PDTB 2.0 and RST-DT annotations overlap for 385 newspaper articles in sections 6, 11, 13, 19 and 23 of the Wall Street Journal corpus contained in Treebank-2 (LDC95T7). DiscAlign for Penn and RST Discourse Treebanks contains approximately 6,700 alignments between PDTB 2.0 and RST-DT relations. DiscAlign for Penn and RST Treebanks is available at no cost to all licensees of PDTB 2.0 and RST-DT and appears in their download queues associated with these corpora as DiscAlign_Penn_RST_DTB_LDC2021T16.zip. *Data* The alignment table is presented as a single UTF-8 encoded CSV file with each row representing a PDTB discourse relation that has been mapped with an RST relation from the RST-DT corpus. Table columns provide some basic information about the source relation extracted from PDTB, the target relation extracted from RST-DT, and the quality of the alignment between the two. See the included documentation for more details on the columns and the mapping procedure. *Samples* Please view this sample (TXT). *Updates* None at this time.
URL: https://catalog.ldc.upenn.edu/LDC2021T16
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6
Time-Aware Ancient Chinese Text Translation and Inference ...
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7
DiscAlign for Penn and RST Discourse Treebanks ...
Demberg, Vera; Asr, Fatemeh; Scholman, Merel. - : Linguistic Data Consortium, 2021
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8
Exploring the Potential of Lexical Paraphrases for Mitigating Noise-Induced Comprehension Errors ...
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9
Mishearing as a Side Effect of Rational Language Comprehension in Noise
In: Front Psychol (2021)
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10
Semantic Predictability Facilitates Comprehension of Degraded Speech in a Graded Manner
In: Front Psychol (2021)
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11
The online processing of causal and concessive discourse connectives
Delogu, Francesca; Drenhaus, Heiner; Köhne-Fuetterer, Judith. - : Saarländische Universitäts- und Landesbibliothek, 2021
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12
Referring expressions and cognitive load ...
Vogels, Jorrig; Howcroft, David; Tourtouri, Elli. - : Open Science Framework, 2020
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13
Addressing the data bottleneck in implicit discourse relation classification
Shi, Wei. - : Saarländische Universitäts- und Landesbibliothek, 2020
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14
Coherence relations in discourse and cognition : comparing approaches, annotations and interpretations
Scholman, Merel Cléo Johanna [Verfasser]; Demberg, Vera [Akademischer Betreuer]. - Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2019
DNB Subject Category Language
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15
How speakers adapt object descriptions to listeners under load
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16
Coherence relations in discourse and cognition : comparing approaches, annotations and interpretations
Scholman, Merel Cléo Johanna. - : Saarländische Universitäts- und Landesbibliothek, 2019
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17
Using Universal Dependencies in cross-linguistic complexity research ...
Berdicevskis, Aleksandrs; Çöltekin, Çağrı; Ehret, Katharina. - : Universität des Saarlandes, 2018
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18
Unifying dimensions in discourse relations. How various annotation frameworks are related. ...
Sanders, Ted; Demberg, Vera; Hoek, Jet. - : De Gruyter, 2018
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19
Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification ...
Shi, Wei; Yung, Frances; Demberg, Vera. - : arXiv, 2018
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20
G-TUNA: a corpus of referring expressions in German, including duration information
Howcroft, David; Demberg, Vera; Vogels, Jorrig. - : Association for Computational Linguistics (ACL), 2017
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