Open AccessProceedings Article
Automatic Cloze-Questions Generation
Annamaneni Narendra,Manish Agarwal,Rakshit Shah +2 more
- pp 511-515
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TLDR
This work presents an automatic Cloze Question Generation (CQG) system that generates a list of important cloze questions given an English article and is divided into three modules: sentence selection, keyword selection and distractor selection.Abstract:
Cloze questions are questions containing sentences with one or more blanks and multiple choices listed to pick an answer from. In this work, we present an automatic Cloze Question Generation (CQG) system that generates a list of important cloze questions given an English article. Our system is divided into three modules: sentence selection, keyword selection and distractor selection. We also present evaluation guidelines to evaluate CQG systems. Using these guidelines three evaluators report an average score of 3.18 (out of 4) on Cricket World Cup 2011 data.read more
Citations
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Knowledge Questions from Knowledge Graphs
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Automatic Generation of English Vocabulary Tests
TL;DR: A novel method for automatically generating English vocabulary tests using TOEFL vocabulary questions as a model, which suggests that the machine-generated questions succeeded in capturing some characteristics of the human- generated questions, and half of them can be used for English test.
References
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Proceedings ArticleDOI
Feature-rich part-of-speech tagging with a cyclic dependency network
TL;DR: A new part-of-speech tagger is presented that demonstrates the following ideas: explicit use of both preceding and following tag contexts via a dependency network representation, broad use of lexical features, and effective use of priors in conditional loglinear models.
Proceedings ArticleDOI
Accurate Unlexicalized Parsing
Dan Klein,Christopher D. Manning +1 more
TL;DR: It is demonstrated that an unlexicalized PCFG can parse much more accurately than previously shown, by making use of simple, linguistically motivated state splits, which break down false independence assumptions latent in a vanilla treebank grammar.
Proceedings ArticleDOI
Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling
TL;DR: By using simulated annealing in place of Viterbi decoding in sequence models such as HMMs, CMMs, and CRFs, it is possible to incorporate non-local structure while preserving tractable inference.
Proceedings ArticleDOI
The automated acquisition of topic signatures for text summarization
Chin-Yew Lin,Eduard Hovy +1 more
TL;DR: A method for automatically training topic signatures-sets of related words, with associated weights, organized around head topics, is described and illustrated with signatures the authors created with 6,194 TREC collection texts over 4 selected topics.
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Stanford’s Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task
TL;DR: The coreference resolution system submitted by Stanford at the CoNLL-2011 shared task was ranked first in both tracks, with a score of 57.8 in the closed track and 58.3 in the open track.