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The PASCAL Recognising Textual Entailment Challenge
This paper presents the Third PASCAL Recognising Textual Entailment Challenge (RTE-3), providing an overview of the dataset creating methodology and the submitted systems. In creating this year'sExpand
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Improving Distributional Similarity with Lessons Learned from Word Embeddings
Recent trends suggest that neural-network-inspired word embedding models outperform traditional count-based distributional models on word similarity and analogy detection tasks. We reveal that muchExpand
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Improving Hypernymy Detection with an Integrated Path-based and Distributional Method
Detecting hypernymy relations is a key task in NLP, which is addressed in the literature using two complementary approaches. Distributional methods, whose supervised variants are the current bestExpand
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The Sixth PASCAL Recognizing Textual Entailment Challenge
This paper presents the Fifth Recognizing Textual Entailment Challenge (RTE5). Following the positive experience of the last campaign, RTE-5 has been proposed for the second time as a track at theExpand
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context2vec: Learning Generic Context Embedding with Bidirectional LSTM
Context representations are central to various NLP tasks, such as word sense disambiguation, named entity recognition, coreference resolution, and many more. In this work we present a neural modelExpand
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Directional distributional similarity for lexical inference
Distributional word similarity is most commonly perceived as a symmetric relation. Yet, directional relations are abundant in lexical semantics and in many Natural Language Processing (NLP) settingsExpand
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Similarity-Based Models of Word Cooccurrence Probabilities
In many applications of natural language processing (NLP) it is necessary to determine the likelihood of a given word combination. For example, a speech recognizer may need to determine which of theExpand
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Do Supervised Distributional Methods Really Learn Lexical Inference Relations?
Distributional representations of words have been recently used in supervised settings for recognizing lexical inference relations between word pairs, such as hypernymy and entailment. We investigateExpand
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The Second PASCAL Recognising Textual Entailment Challenge
This paper describes the Second PASCAL Recognising Textual Entailment Challenge (RTE-2). 1 We describe the RTE2 dataset and overview the submissions for the challenge. One of the main goals for thisExpand
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