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TDNN: A Two-stage Deep Neural Network for Prompt-independent Automated Essay Scoring

Cancan Jin, Ben He, Kai Hui, Le Sun
2018 Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)  
In particular, in the first stage, using the rated essays for nontarget prompts as the training data, a shallow model is learned to select essays with an extreme quality for the target prompt, serving  ...  Evaluation of the proposed TDNN on the standard ASAP dataset demonstrates a promising improvement for the prompt-independent AES task.  ...  Acknowledgments This work is supported in part by the National Natural Science Foundation of China (61472391), and the Project of Beijing Advanced Innovation Center for Language Resources (451122512).  ... 
doi:10.18653/v1/p18-1100 dblp:conf/acl/SunHHJ18 fatcat:jfm7ssqakrcpdjnlcl7lvupmuu

Research and Design of Automatic Scoring Algorithm for English Composition Based on Machine Learning

Yu Zhao, Baiyuan Ding
2021 Scientific Programming  
on English writing teaching, and proves the correctness of the design idea and algorithm of this paper through a lot of experiments.  ...  With the development of artificial intelligence and big data, the concept of "Internet plus education" has gradually become popular, including automatic scoring system based on machine learning.  ...  Acknowledgments e study is the phased achievement of "the curriculum ideological and political demonstration class construction project" of Department of Education of Liaoning Province, China (Grant no  ... 
doi:10.1155/2021/3429463 fatcat:ux6o6rvrsrhspnrcjcgbwycefa

Deep Learning Architecture for Automatic Essay Scoring [article]

Tsegaye Misikir Tashu, Chandresh Kumar Maurya, Tomas Horvath
2022 arXiv   pre-print
Automatic evaluation of essay (AES) and also called automatic essay scoring has become a severe problem due to the rise of online learning and evaluation platforms such as Coursera, Udemy, Khan academy  ...  The experiment was carried out on eight data sets available on Kaggle for the task of AES.  ...  The so-called shallow semantic tree kernel method allows parts of semantic trees to be synchronized.  ... 
arXiv:2206.08232v1 fatcat:3buaoy4zwnejldhvzifpekuvna

Automated Assessment of Non-Native Learner Essays: Investigating the Role of Linguistic Features

Sowmya Vajjala
2017 International Journal of Artificial Intelligence in Education  
This article addresses that by exploring the role of various linguistic features in automatic essay scoring using two publicly available datasets of non-native English essays written in test taking scenarios  ...  Predictive models are then developed using these features on both datasets and the most predictive features are compared.  ...  Acknowledgements I would like to thank all the anonymous reviewers and the editors of the issue for their useful comments, which greatly helped improve this paper from its first version.  ... 
doi:10.1007/s40593-017-0142-3 fatcat:t6cwua5in5gl7fcvygw55gdf3i

Monday mornings are my fave : ) #not Exploring the Automatic Recognition of Irony in English tweets

Cynthia Van Hee, Els Lefever, Véronique Hoste
2016 International Conference on Computational Linguistics  
We also explore the feasibility of automatic irony recognition by exploiting a varied set of features including lexical, syntactic, sentiment and semantic (Word2Vec) information.  ...  In this study, we describe the construction of an English Twitter corpus and its annotation for irony based on a newly developed fine-grained annotation scheme.  ...  Acknowledgements The work presented in this paper was carried out in the framework of the AMiCA (IWT SBO-project 120007) project, funded by the government agency for Innovation by Science and Technology  ... 
dblp:conf/coling/HeeLH16 fatcat:r2wjc6fgovfqrbeakyzaexuqe4

ReaderBench, an Environment for Analyzing Text Complexity and Reading Strategies [chapter]

Mihai Dascalu, Philippe Dessus, Ştefan Trausan-Matu, Maryse Bianco, Aurélie Nardy
2013 Lecture Notes in Computer Science  
ReaderBench is a multi-purpose, multi-lingual and flexible environment that enables the assessment of a wide range of learners' productions and their manipulation by the teacher.  ...  ReaderBench allows the assessment of three main textual features: cohesion-based assessment, reading strategies identification and textual complexity evaluation, which have been subject to empirical validations  ...  As particular implementation aspects for increasing the effectiveness of SVMs, all factors were linearly scaled and a Grid Search optimization method of C and γ for the Gaussian kernel was enforced.  ... 
doi:10.1007/978-3-642-39112-5_39 fatcat:6ppzerxwyvh27kiowro26ise7m

Negation and Speculation in NLP: A Survey, Corpora, Methods, and Applications

Ahmed Mahany, Heba Khaled, Nouh Sabri Elmitwally, Naif Aljohani, Said Ghoniemy
2022 Applied Sciences  
The use of cross-lingual models and translation of the well-known languages are acceptable alternatives.  ...  Adding more syntactic features may alleviate the limitations of the existing techniques, such as cue ambiguity and detecting the discontinuous scopes.  ...  ] English PoS, Lemma, Syntactic SVM-CRF-TiMBL [75] English BoW, PoS, Syntactic SVM [44] English PoS CRF [85] English Syntactic SVM [86] English Syntactic SVM Tree Kernel Syntactic SVM Tree Kernel [76]  ... 
doi:10.3390/app12105209 fatcat:jzm5hjhcqbbr5ck6cosat7n5zq

Message from the general chair

Benjamin C. Lee
2015 2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)  
We explore ways of using the resulting grounding to boost the performance of a state-of-the-art co-reference resolution system.  ...  Our end system outperforms the state-of-the-art baseline by 2 B 3 F1 points on non-transcript portion of the ACE 2004 dataset.  ...  The current implementation of the interface shows constituency and dependency trees as well as shallow syntactic and semantic annotations, and word alignments.  ... 
doi:10.1109/ispass.2015.7095776 dblp:conf/ispass/Lee15 fatcat:ehbed6nl6barfgs6pzwcvwxria

Assessing creative problem-solving with automated text grading

Hao-Chuan Wang, Chun-Yen Chang, Tsai-Yen Li
2008 Computers & Education  
The reliable performance in automatic concept identification and numeric grading demonstrates the potential of using automated grading to support the use of open-ended questions in science assessments  ...  The work aims to improve the assessment of creative problem-solving in science education by employing language technologies and computational-statistical machine learning methods to grade students' natural  ...  Rosé, Yuen-Hsien Tseng, and Chao-Lin Liu for their advices on techniques of language processing and machine learning.  ... 
doi:10.1016/j.compedu.2008.01.006 fatcat:bvo43pmetrgbhfvciwar4pcnjy

When readability meets computational linguistics: a new paradigm in readability

Thomas François
2015 Revue Française de Linguistique Appliquée  
from the conjunction of two AI-connected domains: NLP and machine learning.  ...  We then describe in more detail some of the important studies within this new paradigm, before discussing three main issues of the field that need to be resolved in order to make significant advances and  ...  We would like to thank Serge Bibauw and Jean-Léon Bouraoui for their valuable comments during the writing process.  ... 
doi:10.3917/rfla.202.0079 fatcat:gcbtexuc2bcv5moleer5jwysjm

Design and Evaluation of Metaphor Processing Systems

Ekaterina Shutova
2015 Computational Linguistics  
For many years, computational work on metaphor evolved around the use of hand-coded knowledge and rules to model metaphorical associations, making the systems hard to scale.  ...  However, computational work on metaphor is considerably more fragmented than similar research efforts in other areas of NLP and semantics.  ...  We use kernels over the lemma, POS tag, and supersense tree representations, the combination which performed best on the dev set in terms of accuracy.  ... 
doi:10.1162/coli_a_00233 fatcat:xndjednwznb6ldr54xh6r4u6wu

Parsing Argumentation Structures in Persuasive Essays

Christian Stab, Iryna Gurevych
2017 Computational Linguistics  
We identify argument components using sequence labeling at the token level and apply a new joint model for detecting argumentation structures.  ...  The proposed model globally optimizes argument component types and argumentative relations using Integer Linear Programming.  ...  I/82806 and by the German Federal Ministry of Education and Research (BMBF) as a part of the Software Campus project AWS under grant no. 01-S12054.  ... 
doi:10.1162/coli_a_00295 fatcat:5xb36doqrjfcth7t7jo4ofpe6m

Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and Text

F. Mairesse, M. A. Walker, M. R. Mehl, R. K. Moore
2007 The Journal of Artificial Intelligence Research  
While other work reports classification results, we experiment with classification, regression and ranking models. For each model, we analyse the effect of different feature sets on accuracy.  ...  However, to date, there is little work on the automatic recognition of personality traits.  ...  Acknowledgments We would like to thank James Pennebaker for giving us access to the essays data.  ... 
doi:10.1613/jair.2349 fatcat:7bsf4eyk4veuzl2poyoe2gm7oq

A Comprehensive Survey on Word Representation Models: From Classical to State-Of-The-Art Word Representation Language Models [article]

Usman Naseem, Imran Razzak, Shah Khalid Khan, Mukesh Prasad
2020 arXiv   pre-print
These models can transform large volumes of text into effective vector representations capturing the same semantic information.  ...  In the end, this survey briefly discusses the commonly used ML and DL based classifiers, evaluation metrics and the applications of these word embeddings in different NLP tasks.  ...  Both of these, recursive neural and paragraph representation models have assessed on IMDb dataset used by Pang et al.  ... 
arXiv:2010.15036v1 fatcat:ykwirbx7afhyxm7dxkzrfpaslm

We usually don't like going to the dentist. Using common sense to detect irony on Twitter

Cynthia Van Hee, Els Lefever, Véronique Hoste
2018 Computational Linguistics  
., "flight delays," "sitting the whole day at the doctor's office"), we defined the implicit sentiment held towards such situations automatically by using both a lexico-semantic knowledge base and a data-driven  ...  Although common sense and connotative knowledge come naturally to most people, computers still struggle to perform well on tasks for which such extratextual information is required.  ...  For this purpose, four models were built on the basis of lexical, syntactic, sentiment, and semantic features. Table 5 displays the scores of the individual feature groups on the held-out test set.  ... 
doi:10.1162/coli_a_00337 fatcat:qza6yucc55ccbkfmccsmub7t2i
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