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Tapping into the Power of Automatic Question Generation

Ibrahim EldesokyFattoh, Amal Elsayed Aboutabl, Mohamed Hassan Haggag
2014 International Journal of Computer Applications  
Question Generation (QG) is an important element of learning environments, information seeking systems, help systems, and other applications.  ...  This research tries to have a wide look on existing automatic question generation systems, and some trials of overcoming its difficulties from different points of views.  ...  Tregex, a tree query language used in order to implement the rules for transforming source sentences into questions, and Tsurgeon, a tree manipulation language built on top of Tregex.  ... 
doi:10.5120/18035-7636 fatcat:b7xp4telhfg23g4wizz374rzz4

Universal Semantic Parsing [article]

Siva Reddy, Oscar Täckström, Slav Petrov, Mark Steedman, Mirella Lapata
2017 arXiv   pre-print
Our code and data can be downloaded at https://github.com/sivareddyg/udeplambda.  ...  Results show that UDepLambda outperforms strong baselines across languages and datasets. For English, it achieves a 4.9 F1 point improvement over the state-of-the-art on GraphQuestions.  ...  We thank Reviewer 2 for useful feedback. The authors would also like to thank the Universal Dependencies community for the treebanks and documentation.  ... 
arXiv:1702.03196v4 fatcat:auk3prkzevhfrhfm5qlnjiez6m

Fluent Response Generation for Conversational Question Answering [article]

Ashutosh Baheti, Alan Ritter, Kevin Small
2020 arXiv   pre-print
From a technical perspective, we use data augmentation to generate training data for an end-to-end system.  ...  The code and data are available at https://github.com/abaheti95/QADialogSystem.  ...  Acknowledgments We would like to thank the reviewers for providing valuble feedback on an earlier draft of this paper.  ... 
arXiv:2005.10464v2 fatcat:lamuldyfqfgctizfk6txgzzf7a

Treebank Parsing and Knowledge of Language [chapter]

Sandiway Fong, Igor Malioutov, Beracah Yankama, Robert C. Berwick
2012 Cognitive Aspects of Computational Language Acquisition  
Tregex and tsurgeon: Tools for querying and manipulating tree 1091 data structures.  ...  and Tsurgeon toolkit [31].  ... 
doi:10.1007/978-3-642-31863-4_6 dblp:series/tanlp/FongMYB13 fatcat:htp3zcp4kbfabapzqfuuck2b7m

Creating Conversational Characters Using Question Generation Tools

Xuchen Yao, Emma Tosch, Grace Chen, Elnaz Nouri, Ron Artstein, Anton Leuski, Kenji Sagae, David Traum
2012 Dialogue and Discourse  
This article describes a new question generation tool for extracting question-answer databases from text articles, and reports three experiments which investigate how suitable this technique is for giving  ...  Experiment 1 demonstrates the feasibility of our method by creating characters for 14 distinct topics and evaluating them using hand-authored questions.  ...  Acknowledgments We wish to thank Michael Heilman, author of Question Transducer, for giving us access to his code and allowing us to use it in our experiments.  ... 
doi:10.5087/dad.2012.206 fatcat:skpiu5fhrncupdh3joyj2ufxtq

EFFECTIVE PROCESSING OF QUESTION GENERATION FROM TEXT

Senthil Kumar
2016 International Journal of Pharmacy & Technology   unpublished
After that we present a system for question generation that using the existing natural language tools and application for helps in question generation.  ...  System uses the manually written rules for transformation and processing some steps. Some experiments done on question generation and that result gives good question that are valuable.  ...  Sentence generate question using Tregex, a language that work on query and Tsurgeon for tree manipulation.  ... 
fatcat:vdxa64ax75fjtg3irvyv2qjbmq

Retrospective Semi-automated Software Feature Extraction from Natural Language User Manuals

Thomas Quirchmayr
2018
Tsurgeon (Levy and Andrew 2006), which is a tree-transformation utility built on top of Tregex, allows to manipulate the identified parse trees as desired.  ...  Tsurgeon (Levy and Andrew 2006) , which is a tree-transformation utility built on top of Tregex, allows to manipulate the identified parse trees as desired.  ...  (ROOT (S (NP (JJ other) (NNS options)) (VP (VBP exclude) (NP (NP (NNP DSTreagents)) (, ,) (SBAR (WHNP (WDT which)) (S (VP (VBP are) (VP (VBN used) (PP (IN for) (NP (NP (NNP DSTcontrols)) (CC and) (NP (  ... 
doi:10.11588/heidok.00025322 fatcat:axyyuby4kfalbm3i4n7otcmpxi

Fluent Response Generation for Conversational Question Answering

Ashutosh Baheti, Alan Ritter, Kevin Small
2020 Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics   unpublished
From a technical perspective, we use data augmentation to generate training data for an end-to-end system.  ...  Human evaluation on SQuAD 2.0 data (Rajpurkar et al., 2018) demonstrate that the proposed model outperforms baseline CoQA and QuAC models in generating conversational responses.  ...  Acknowledgments We would like to thank the reviewers for providing valuble feedback on an earlier draft of this paper.  ... 
doi:10.18653/v1/2020.acl-main.19 fatcat:uru6jl6rnvf5ddsuxoxsr7d7ya

Reassessing inflectional regularity in Modern Greek conjugation [chapter]

Stavros Bompolas, Franco Alberto Cardillo, Marcello Ferro, Claudia Marzi, Vito Pirrelli
Proceedings of the Third Italian Conference on Computational Linguistics CLiC-it 2016  
Acknowledgments We would like to thank the Appetitoso team for making available the system and for providing us with the data for this work.  ...  This analysis is useful to identify features for the development of an automatic tool for sentiment-related classification tasks in this domain. The gold standard is available to the community.  ...  cannot be easily adapted to general needs, or are devoted to tree manipulation, for example the tool 'Tregex' (Levy and Andrew, 2006) .  ... 
doi:10.4000/books.aaccademia.1721 fatcat:6mvr6rntdnhrlgxyqoqrvasc6u