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1
LORELEI Wolof Representative Language Pack
Tracey, Jennifer; Strassel, Stephanie; Graff, David. - : Linguistic Data Consortium, 2022. : https://www.ldc.upenn.edu, 2022
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2
LORELEI Wolof Representative Language Pack ...
Tracey, Jennifer; Strassel, Stephanie; Graff, David. - : Linguistic Data Consortium, 2022
BASE
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3
LORELEI Akan Representative Language Pack
Tracey, Jennifer; Strassel, Stephanie; Graff, David. - : Linguistic Data Consortium, 2021. : https://www.ldc.upenn.edu, 2021
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4
LORELEI Akan Representative Language Pack ...
Tracey, Jennifer; Strassel, Stephanie; Graff, David. - : Linguistic Data Consortium, 2021
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5
LORELEI Vietnamese Representative Language Pack
Tracey, Jennifer; Strassel, Stephanie; Graff, David. - : Linguistic Data Consortium, 2020. : https://www.ldc.upenn.edu, 2020
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6
Machine Reading Phase 1 IC Training Data
Simpson, Heather; Strassel, Stephanie; Wright, Jonathan. - : Linguistic Data Consortium, 2020. : https://www.ldc.upenn.edu, 2020
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7
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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8
LORELEI Vietnamese Representative Language Pack ...
Tracey, Jennifer; Strassel, Stephanie; Graff, David. - : Linguistic Data Consortium, 2020
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9
Machine Reading Phase 1 IC Training Data ...
Simpson, Heather; Strassel, Stephanie; Wright, Jonathan; Griffitt, Kira. - : Linguistic Data Consortium, 2020
Abstract:

Introduction

Machine Reading Phase 1 IC Training Data was developed by the Linguistic Data Consortium and contains 248 English source documents and 116 standoff annotation files used in the DARPA (Defense Advanced Research Projects Agency) Machine Reading program. The Machine Reading (MR) program aimed to develop automated reading systems to bridge the gap between knowledge contained in natural language texts and knowledge accessible to formal reasoning systems. The reading systems designed by program participants were required to extract and reason about facts from text in multiple domains. The data in this release constitutes the training data for the IC (Core Domain) task. The IC Use Cases tested the core domain by extracting information about about Entities (people, organizations, geopolitical entities or "GPEs") and their involvement in four types of Relations: Attack Relations (e.g. bombings), Biographical Relations (e.g. being a citizen of a country), Affiliation Relations (e.g. ...
URL: https://dx.doi.org/10.35111/tj3x-ce20
https://catalog.ldc.upenn.edu/LDC2020T04
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10
Abstract Meaning Representation (AMR) Annotation Release 3.0 ...
Knight, Kevin; Badarau, Bianca; Baranescu, Laura. - : Linguistic Data Consortium, 2020
BASE
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11
Machine Reading Phase 1 NFL Scoring Training Data
Simpson, Heather; Strassel, Stephanie; Wright, Jonathan. - : Linguistic Data Consortium, 2019. : https://www.ldc.upenn.edu, 2019
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12
Machine Reading Phase 1 NFL Scoring Training Data ...
Simpson, Heather; Strassel, Stephanie; Wright, Jonathan. - : Linguistic Data Consortium, 2019
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13
BOLT Information Retrieval Comprehensive Training and Evaluation
Griffitt, Kira; Strassel, Stephanie. - : Linguistic Data Consortium, 2018. : https://www.ldc.upenn.edu, 2018
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14
BOLT Information Retrieval Comprehensive Training and Evaluation ...
Griffitt, Kira; Strassel, Stephanie. - : Linguistic Data Consortium, 2018
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15
Abstract Meaning Representation (AMR) Annotation Release 2.0
Knight, Kevin; Badarau, Bianca; Baranescu, Laura. - : Linguistic Data Consortium, 2017. : https://www.ldc.upenn.edu, 2017
BASE
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16
Abstract Meaning Representation (AMR) Annotation Release 2.0 ...
Knight, Kevin; Badarau, Bianca; Baranescu, Laura. - : Linguistic Data Consortium, 2017
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17
Abstract Meaning Representation (AMR) Annotation Release 1.0
Knight, Kevin; Baranescu, Laura; Bonial, Claire. - : Linguistic Data Consortium, 2014. : https://www.ldc.upenn.edu, 2014
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18
Abstract Meaning Representation (AMR) Annotation Release 1.0 ...
Palmer, Martha; Marcu, Daniel; Griffitt, Kira. - : Linguistic Data Consortium, 2014
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