Competitively evolving decision trees against fixed training cases for natural language processing
Advances in genetic programming
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Information Retrieval
On the MSE robustness of batching estimators
Proceedings of the 33nd conference on Winter simulation
Unsupervised question answering data acquisition from local corpora
Proceedings of the thirteenth ACM international conference on Information and knowledge management
A noisy-channel approach to question answering
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Using eigenvectors of the bigram graph to infer morpheme identity
MPL '02 Proceedings of the ACL-02 workshop on Morphological and phonological learning - Volume 6
Exploiting paraphrases in a Question Answering system
PARAPHRASE '03 Proceedings of the second international workshop on Paraphrasing - Volume 16
Integrating linguistic knowledge in passage retrieval for question answering
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Using syntactic distributional patterns for data-driven answer extraction from the web
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Language independent answer prediction from the web
FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
Experiments on cross–linguality and question–type driven strategy selection for open–domain QA
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Improving passage retrieval in question answering using NLP
EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
Bootstrapping multiple-choice tests with THE-MENTOR
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
Is it worth submitting this run?: assess your RTE system with a good sparring partner
TIWTE '11 Proceedings of the TextInfer 2011 Workshop on Textual Entailment
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We present an evolutionary approach for the computation of exact answers to natural languages (NL) questions. Answers are extracted directly from the N--best snippets, which have been identified by a standard Web search engine using NL questions. The core idea of our evolutionary approach to Web question answering is to search for those substrings in the snippets whose contexts are most similar to contexts of already known answers. This context model together with the words mentioned in the NL question are used to evaluate the fitness of answer candidates, which are actually randomly selected substrings from randomly selected sentences of the snippets. New answer candidates are then created by applying specialized operators for crossover and mutation, which either stretch and shrink the substring of an answer candidate or transpose the span to new sentences. Since we have no predefined notion of patterns, our context alignment methods are very dynamic and strictly data-driven. We assessed our system with seven different datasets of question/answer pairs. The results show that this approach is promising, especially when it deals with specific questions.