Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language
Authors | Luheng He Michael Anthony Lewis Luke S. Zettlemoyer |
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Publication date | 2015 |
ISBN | 978-194164332-7 |
Links |
Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language - scientific work about Wikipedia quality published in 2015, written by Luheng He, Michael Anthony Lewis and Luke S. Zettlemoyer.
Overview
This paper introduces the task of questionanswer driven semantic role labeling (QA-SRL), where question-answer pairs are used to represent predicate-argument structure. For example, the verb "introduce" in the previous sentence would be labeled with the questions "What is introduced?", and "What introduces something?", each paired with the phrase from the sentence that gives the correct answer. Posing the problem this way allows the questions themselves to define the set of possible roles, without the need for predefined frame or thematic role ontologies. It also allows for scalable data collection by annotators with very little training and no linguistic expertise. Authors gather data in two domains, newswire text and Wikipedia articles, and introduce simple classifierbased models for predicting which questions to ask and what their answers should be. Their results show that non-expert annotators can produce high quality QA-SRL data, and also establish baseline performance levels for future work on this task.
Embed
Wikipedia Quality
He, Luheng; Lewis, Michael Anthony; Zettlemoyer, Luke S.. (2015). "[[Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language]]". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 8956, 2015, pp. 391-402. ISBN: 978-194164332-7.
English Wikipedia
{{cite journal |last1=He |first1=Luheng |last2=Lewis |first2=Michael Anthony |last3=Zettlemoyer |first3=Luke S. |title=Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language |date=2015 |isbn=978-194164332-7 |url=https://wikipediaquality.com/wiki/Question-Answer_Driven_Semantic_Role_Labeling:_Using_Natural_Language_to_Annotate_Natural_Language |journal=Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 8956, 2015, pp. 391-402}}
HTML
He, Luheng; Lewis, Michael Anthony; Zettlemoyer, Luke S.. (2015). "<a href="https://wikipediaquality.com/wiki/Question-Answer_Driven_Semantic_Role_Labeling:_Using_Natural_Language_to_Annotate_Natural_Language">Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language</a>". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 8956, 2015, pp. 391-402. ISBN: 978-194164332-7.