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Recognizing Textual Entailment: Models and Applications
* List of Figures* List of Tables* Preface* Acknowledgments* Textual Entailment* Architectures and Approaches* Alignment, Classification, and Learning* Case Studies* Knowledge Acquisition for TextualExpand
"Ask Not What Textual Entailment Can Do for You..."
We challenge the NLP community to participate in a large-scale, distributed effort to design and build resources for developing and evaluate solutions to new and existing NLP tasks in the context of Recognizing Textual Entailment. Expand
Synthesis Lectures on Human Language Technologies
This book gives a comprehensive view of state-of-the-art techniques that are used to build spoken dialogue systems that support robust and efficient human–machine interaction using spoken language. Expand
The Illinois-Columbia System in the CoNLL-2014 Shared Task
The CoNLL-2014 shared task is an extension of last year's shared task and focuses on correcting grammatical errors in essays written by non-native learners of English. Expand
An NLP Curator (or: How I Learned to Stop Worrying and Love NLP Pipelines)
This paper describes Curator, an NLP management framework designed to address some common problems and inefficiencies associated with building NLP process pipelines; and Edison, a NLP data structure library in Java that provides streamlined interactions with Curator. Expand
An Inference Model for Semantic Entailment in Natural Language
This paper presents a principled approach to this problem that builds on inducing representations of text snippets into a hierarchical knowledge representation along with a sound optimization-based inferential mechanism that makes use of it to decide semantic entailment. Expand
The UI System in the HOO 2012 Shared Task on Error Correction
We describe the University of Illinois (UI) system that participated in the Helping Our Own (HOO) 2012 shared task, which focuses on correcting preposition and determiner errors made by non-native English speakers. Expand
Illinois-Coref: The UI System in the CoNLL-2012 Shared Task
We present the improvements of Illinois-Coref system from last year. Expand
Recognizing Textual Entailment
We define the problem of Recognizing Textual Entailment (RTE) and outline its applications to other tasks in Natural Language Processing. Expand
University of Illinois System in HOO Text Correction Shared Task
In this paper, we describe the University of Illinois system that participated in Helping Our Own (HOO), a shared task in text correction. Expand