Alejandro Figueroa

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Alejandro Figueroa is an author.

Publications

Only those publications related to wikis are shown here.
Title Keyword(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
Surface language models for discovering temporally anchored definitions on the web: Producing chronologies as answers to definition questions Definition questions
N-gram language models
Temporally anchored definitions
Web question answering
WEBIST 2010 - Proceedings of the 6th International Conference on Web Information Systems and Technology English 2010 This work presents a data-driven definition question answering (QA) system that outputs a set of temporally anchored definitions as answers. This system builds surface language models on top of a corpus automatically acquired from Wikipedia abstracts, and ranks answer candidates in agreement with these models afterwards. Additionally, this study deals at greater length with the impact of several surface features in the ranking of temporally anchored answers. 0 0
Are wikipedia resources useful for discovering answers to list questions within web snippets? Distinct answers
List questions
Question answering
Web mining
Lecture Notes in Business Information Processing English 2009 This paper presents LiSnQA, a list question answering system that extracts answers to list queries from the short descriptions of web-sites returned by search engines, called web snippets. LiSnQA mines Wikipedia resources in order to obtain valuable information that assists in the extraction of these answers. The interesting facet of LiSnQA is, that in contrast to current systems, it does not account for lists in Wikipedia, but for its redirections, categories, sandboxes, and first definition sentences. Results show that these resources strengthen the answering process. 0 0
Using dependency paths for answering definition questions on the web Definition questions
Lexical dependency paths
N-Gram language models
Web question answering
WEBIST 2009 - Proceedings of the 5th International Conference on Web Information Systems and Technologies English 2009 This work presents a new approach to automatically answer definition questions from the Web. This approach learns n-gram language models from lexicalised dependency paths taken from abstracts provided by Wikipedia and uses context information to identify candidate descriptive sentences containing target answers. Results using a prototype of the model showed the effectiveness of lexicalised dependency paths as salient indicators for the presence of definitions in natural language texts. 0 0
Mining Wikipedia Resources for Discovering Answers to List Questions in Web Snippets List Questions
Question answering
Web mining
Web Question Answering
Wikipedia
Data mining
Web Snippets
SKG English 2008 0 0
Mining Wikipedia for Discovering Multilingual Definitions on the Web Definition
Definitions
Question answering
Web question answering
Definition questions
Wikipedia
Data mining
Definition patterns
SKG English 2008 0 0