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Deep Learning for Answer Sentence Selection
Answer sentence selection is the task of identifying sentences that contain the answer to a given question. This is an important problem in its own right as well as in the larger context of openExpand
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Characterizing Humour: An Exploration of Features in Humorous Texts
This paper investigates the problem of automatic humour recognition, and provides and in-depth analysis of two of the most frequently observed features of humorous text: human-centeredness andExpand
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Combining Symbolic and Distributional Models of Meaning
The are two main approaches to the representation of meaning in Computational Linguistics: a symbolic approach and a distributional approach. This paper considers the fundamental question of howExpand
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Automatic Short Answer Marking
A connector as disclosed for connecting fluid passages through a flexible sheet material. The connector is appropriate for use in connecting the coolant lines of a personal cooling garment through aExpand
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Tweets about hospital quality: a mixed methods study
Background Twitter is increasingly being used by patients to comment on their experience of healthcare. This may provide information for understanding the quality of healthcare providers andExpand
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Time and Modality in a Natural Language Interface to a Planning System
Abstract This paper describes a natural language interface to nonlinear planning systems. We focus on the treatments of temporal and modal information in logical form (LF, a semantic representationExpand
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A Classifier-Based Approach to Preposition and Determiner Error Correction in L2 English
In this paper, we present an approach to the automatic identification and correction of preposition and determiner errors in non-native (L2) English writing. We show that models of use for theseExpand
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A Unified Sentence Space for Categorical Distributional-Compositional Semantics: Theory and Experiments
This short paper summarizes a faithful implementation of the categorical framework of Coecke et al. (2010), the aim of which is to provide compositionality in distributional models of lexicalExpand
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Unsupervised Classification of Dialogue Acts using a Dirichlet Process Mixture Model
In recent years Dialogue Acts have become a popular means of modelling the communicative intentions of human and machine utterances in many modern dialogue systems. Many of these systems rely heavilyExpand
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Reasoning about Meaning in Natural Language with Compact Closed Categories and Frobenius Algebras
Compact closed categories have found applications in modeling quantum information protocols by Abramsky-Coecke. They also provide semantics for Lambek's pregroup algebras, applied to formalizing theExpand
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