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Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
Semantic word spaces have been very useful but cannot express the meaning of longer phrases in a principled way. Further progress towards understanding compositionality in tasks such as sentimentExpand
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A large annotated corpus for learning natural language inference
Understanding entailment and contradiction is fundamental to understanding natural language, and inference about entailment and contradiction is a valuable testing ground for the development ofExpand
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Learning Word Vectors for Sentiment Analysis
Unsupervised vector-based approaches to semantics can model rich lexical meanings, but they largely fail to capture sentiment information that is central to many word meanings and important for aExpand
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The logic of conventional implicatures
1. Introduction 2. A Preliminary Case for Conventional Implicatures 3. A Logic for Conventional Implicatures 4. Supplements 5. Expressive Content 6. The Supplement Relation: A Syntactic Analysis 7. AExpand
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The expressive dimension
Abstract Expressives like damn and bastard have, when uttered, an immediate and powerful impact on the context. They are performative, often destructively so. They are revealing of the perspectiveExpand
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A Fast Unified Model for Parsing and Sentence Understanding
Tree-structured neural networks exploit valuable syntactic parse information as they interpret the meanings of sentences. However, they suer from two key technical problems that make them slow andExpand
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A computational approach to politeness with application to social factors
We propose a computational framework for identifying linguistic aspects of politeness. Our starting point is a new corpus of requests annotated for politeness, which we use to evaluate aspects ofExpand
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No country for old members: user lifecycle and linguistic change in online communities
Vibrant online communities are in constant flux. As members join and depart, the interactional norms evolve, stimulating further changes to the membership and its social dynamics. Linguistic changeExpand
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The Life and Death of Discourse Entities: Identifying Singleton Mentions
A discourse typically involves numerous entities, but few are mentioned more than once. Distinguishing discourse entities that die out after just one mention (singletons) from those that lead longerExpand
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Recursive Neural Networks Can Learn Logical Semantics
Tree-structured recursive neural networks (TreeRNNs) for sentence meaning have been successful for many applications, but it remains an open question whether the fixed-length representations thatExpand
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