[PDF] Top 20 NAIST at the NLI 2013 Shared Task
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NAIST at the NLI 2013 Shared Task
... In this paper, we described our systems for the NLI Shared Task 2013. We tried feature selection using native language frequency for the closed track and Capping and the Sampling data to ... See full document
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A deep learning based native language classification by using a latent semantic analysis for the NLI Shared Task 2017
... systems. NLI can also be used in a computer-assisted language learning system using the L1-specific target-language ...on NLI has been reported (Malmasi, 2016; Malmasi and Dras, 2015) and the developed ap- ... See full document
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Stacked Sentence Document Classifier Approach for Improving Native Language Identification
... In order to test the performances of the pro- posed two-stacked sentence-document classifier, we conducted several experiments exploiting dif- ferent configurations of our system. Table 1 reports the configurations ... See full document
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Using Other Learner Corpora in the 2013 NLI Shared Task
... training task. We explored a few methods to get data to fill this gap. First, we downloaded two collections of English language Indian news arti- cles, one from a Hindi newspaper, the Hindus- tan Times, and one ... See full document
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A study of N gram and Embedding Representations for Native Language Identification
... of NLI advance in both the directions of feature engineering and ...al., 2013; Gebre et al., 2013) for this ...name: NLI-ISU), done as a part of the NLI Shared Task 2017 ... See full document
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The Power of Character N grams in Native Language Identification
... NLI is typically framed as a multi-class classifi- cation problem, wherein a classifier is trained on more than two native languages simultaneously. As with many text-classification tasks, Support Vector Machines ... See full document
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Feature Engineering in the NLI Shared Task 2013: Charles University Submission Report
... features where m changes as we perform var- ious feature combinations and filtering steps. We prefer to work with binary features. We do not include two extra features, proficiency level and prompt, provided with the ... See full document
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Proceedings of the Eighth Workshop on Innovative Use of NLP for Building Educational Applications
... April 2013, a New York Times article by John Markoff discussed automated essay scoring use by EdX, one of the two competing Massive Online Educational Course (MOOC) ...new Shared Task co-located with ... See full document
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NLI Shared Task 2013: MQ Submission
... Tetreault et al. (2012) established that the classi- fication accuracy of their system varied across pro- ficiency levels, with high proficiency texts being the hardest to classify. This is most likely due to the fact ... See full document
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VTEX System Description for the NLI 2013 Shared Task
... the task of identifying the first spoken language (L1) of a person based on the person’s written text in another ...(NLP) task, it is properly catego- rized as text classification, and standard ap- proaches ... See full document
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NAIST at 2013 CoNLL Grammatical Error Correction Shared Task
... This paper describes the Nara Institute of Science and Technology (NAIST) er- ror correction system in the CoNLL 2013 Shared Task. We constructed three sys- tems: a system based on the Treelet ... See full document
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Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering
... Another common model used by participating sys- tems was the Multi-Task Deep Neural Network MT-DNN (Liu et al., 2019) which builds up on BERT to perform multi-task learning and is evalu- ated on the GLUE ... See full document
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The University of Illinois System in the CoNLL 2013 Shared Task
... The CoNLL-2013 shared task focuses on correcting grammatical errors in essays written by non-native learners of English. In this paper, we describe the University of Illinois system that participated ... See full document
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NICT NAIST System for WMT17 Multimodal Translation Task
... translation task, including text-only ap- proaches and a multimodal method that first searches for some possible target language de- scriptions of the image and then integrates these target descriptions into the ... See full document
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DCU Symantec at the WMT 2013 Quality Estimation Shared Task
... We describe the two systems submit- ted by the DCU-Symantec team to Task 1.1. of the WMT 2013 Shared Task on Quality Estimation for Machine Transla- tion. Task 1.1 involve estimating ... See full document
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KUNLP Grammatical Error Correction System For CoNLL 2013 Shared Task
... We will try to train the correction model by us- ing large amount of error free corpus in order to overcome the problem of low recall. To parse large corpus is very time consuming task. So, in this experiment, we ... See full document
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Effective Morphological Feature Selection with MaltOptimizer at the SPMRL 2013 Shared Task
... Wr´oblewska. 2013. Overview of the spmrl 2013 shared task: A cross-framework evaluation of parsing morphologi- cally rich ...Languages: Shared Task, Seattle, ... See full document
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The CoNLL 2013 Shared Task on Grammatical Error Correction
... CoNLL-2013 shared task, and Table 6 summarizes these ...the shared task and in grammatical error correction research in general is to build a classifier for each error ... See full document
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The Genia Event Extraction Shared Task, 2013 Edition Overview
... coreference task and Entity Relation were orga- nized as sub-tasks, to explicitly address the prob- lem, but this time, coreference and part-of anno- tations are integrated in the GE task, to encour- age an ... See full document
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LIMSI’s participation to the 2013 shared task on Native Language Identification
... This paper describes LIMSI’s participation to the first shared task on Native Language Iden- tification. Our submission uses a Maximum Entropy classifier, using as features character and chunk n-grams, ... See full document
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