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1
BOLT Egyptian Arabic PropBank and Sense -- Discussion Forum, SMS/Chat, and Conversational Telephone Speech
Palmer, Martha; Hwang, Jena D.; Mansouri, Aous. - : Linguistic Data Consortium, 2021. : https://www.ldc.upenn.edu, 2021
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2
MS-Mentions: Consistently Annotating Entity Mentions in Materials Science Procedural Text ...
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3
BOLT Egyptian Arabic PropBank and Sense -- Discussion Forum, SMS/Chat, and Conversational Telephone Speech ...
Palmer, Martha; Hwang, Jena; Mansouri, Aous. - : Linguistic Data Consortium, 2021
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4
Improved Latent Tree Induction with Distant Supervision via Span Constraints ...
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5
Improved Latent Tree Induction with Distant Supervision via Span Constraints ...
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6
Abstract Meaning Representation (AMR) Annotation Release 3.0
Knight, Kevin; Badarau, Bianca; Baranescu, Laura. - : Linguistic Data Consortium, 2020. : https://www.ldc.upenn.edu, 2020
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7
BOLT English PropBank and Sense -- Discussion Forum, SMS/Chat, and Conversational Telephone Speech
Palmer, Martha; Hwang, Jena D.; Bonial, Claire. - : Linguistic Data Consortium, 2020. : https://www.ldc.upenn.edu, 2020
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8
Cross-lingual annotation: a road map for low- and no-resource languages ...
Abstract: This paper presents a “road map” for the annotation of semantic categories in typologically diverse languages, with potentially few linguistic resources, and often no existing computational resources. Past semantic annotation efforts have focused largely on high-resource languages, or relatively low-resource languages with a large number of native speakers. However, there are certain typological traits, namely the synthesis of multiple concepts into a single word, that are more common in languages with a smaller speech community. For example, what is expressed as a sentence in a more analytic language like English, may be expressed as a single word in a more synthetic language like Arapaho. This paper proposes solutions for annotating analytic and synthetic languages in a comparable way based on existing typological research, and introduces a road map for the annotation of languages with a dearth of resources. ...
Keyword: Information and Knowledge Engineering; Intelligent System; Natural Language Processing; Neural Network
URL: https://dx.doi.org/10.48448/jcfp-mn06
https://underline.io/lecture/6566-cross-lingual-annotation-a-road-map-for-low--and-no-resource-languages
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9
Abstract Meaning Representation (AMR) Annotation Release 3.0 ...
Knight, Kevin; Badarau, Bianca; Baranescu, Laura. - : Linguistic Data Consortium, 2020
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10
BOLT English PropBank and Sense -- Discussion Forum, SMS/Chat, and Conversational Telephone Speech ...
Palmer, Martha; Hwang, Jena; Bonial, Claire. - : Linguistic Data Consortium, 2020
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11
Double Trouble: The Problem of Construal in Semantic Annotation of Adpositions
In: Proceedings of the Society for Computation in Linguistics (2018)
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12
English Web Treebank Propbank
O'Gorman, Tim; Conger, Katherine; Palmer, Martha. - : Linguistic Data Consortium, 2017. : https://www.ldc.upenn.edu, 2017
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13
Abstract Meaning Representation (AMR) Annotation Release 2.0
Knight, Kevin; Badarau, Bianca; Baranescu, Laura. - : Linguistic Data Consortium, 2017. : https://www.ldc.upenn.edu, 2017
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14
Adposition and Case Supersenses v2.5: Guidelines for English ...
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15
Abstract Meaning Representation (AMR) Annotation Release 2.0 ...
Knight, Kevin; Badarau, Bianca; Baranescu, Laura. - : Linguistic Data Consortium, 2017
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16
English Web Treebank Propbank ...
O'Gorman, Tim; Conger, Katherine; Palmer, Martha. - : Linguistic Data Consortium, 2017
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17
Coping with Construals in Broad-Coverage Semantic Annotation of Adpositions ...
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18
Richer Event Description
O'Gorman, Tim; Palmer, Martha. - : Linguistic Data Consortium, 2016. : https://www.ldc.upenn.edu, 2016
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19
Richer Event Description ...
O'Gorman, Tim; Palmer, Martha. - : Linguistic Data Consortium, 2016
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