2006 ThePascalRecognisingTextEntChlg
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- (Dagan et al., 2006) ⇒ Ido Dagan, Oren Glickman, and Bernardo Magnini. (2006). “The PASCAL Recognising Textual Entailment Challenge.” In: : Lecture Notes in Computer Science, 3944. Springer. doi:10.1007/11736790_9
Subject Headings: Textual Entailment Task.
Notes
- It appears to be based on their paper at the First PASCAL Machine Learning Challenges Workshop (MLCW 2005).
Cited By
2008
- (Snow et al., 2008) ⇒ Rion Snow, Brendan O'Connor, Daniel Jurafsky, and Andrew Y. Ng. (2008). “Cheap and Fast - But is it Good?: Evaluating non-expert annotations for natural language tasks.” In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2008).
Quotes
Abstract
This paper describes the PASCAL Network of Excellence first Recognising Textual Entailment (RTE-1) Challenge benchmark1. The RTE task is defined as recognizing, given two text fragments, whether the meaning of one text can be inferred (entailed) from the other. This application-independent task is suggested as capturing major inferences about the variability of semantic expression which are commonly needed across multiple applications. The Challenge has raised noticeable attention in the research community, attracting 17 submissions from diverse groups, suggesting the generic relevance of the task.
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| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2006 ThePascalRecognisingTextEntChlg | Ido Dagan Oren Glickman Bernardo Magnini | The PASCAL Recognising Textual Entailment Challenge | http://oren.glickman.com/publications/LNAI 39440177.pdf | 10.1007/11736790_9 |