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Personalized Machine Translation: Preserving Original Author Traits
The language that we produce reflects our personality, and various personal and demographic characteristics can be detected in natural language texts. We focus on one particular personal trait of theExpand
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Integrating Pattern-Based and Distributional Similarity Methods for Lexical Entailment Acquisition
This paper addresses the problem of acquiring lexical semantic relationships, applied to the lexical entailment relation. Our main contribution is a novel conceptual integration between the twoExpand
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Source-Language Entailment Modeling for Translating Unknown Terms
This paper addresses the task of handling unknown terms in SMT. We propose using source-language monolingual models and resources to paraphrase the source text prior to translation. We furtherExpand
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Evaluating the Inferential Utility of Lexical-Semantic Resources
Lexical-semantic resources are used extensively for applied semantic inference, yet a clear quantitative picture of their current utility and limitations is largely missing. We propose system- andExpand
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XRCE Personal Language Analytics Engine for Multilingual Author Profiling: Notebook for PAN at CLEF 2015
This technical notebook describes the methodology used - and results achieved - for the PAN 2015 Author Profiling Challenge by the team from Xe- rox Research Centre Europe (XRCE). This year,Expand
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Motivating Personality-aware Machine Translation
Language use is known to be influenced by personality traits as well as by sociodemographic characteristics such as age or mother tongue. As a result, it is possible to automatically identify theseExpand
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Joint Learning of Correlated Sequence Labeling Tasks Using Bidirectional Recurrent Neural Networks
The stream of words produced by Automatic Speech Recognition (ASR) systems is typically devoid of punctuations and formatting. Most natural language processing applications expect segmented andExpand
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Efficient Semantic Deduction and Approximate Matching over Compact Parse Forests
Semantic inference is often modeled as application of entailment rules, which specify generation of entailed sentences from a source sentence. Efficient generation and representation of entailedExpand
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Assessing the Role of Discourse References in Entailment Inference
Discourse references, notably coreference and bridging, play an important role in many text understanding applications, but their impact on textual entailment is yet to be systematically understood.Expand
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Addressing Discourse and Document Structure in the RTE Search Task
This paper describes Bar-Ilan University’s submissions to RTE-5. This year we focused on the Search pilot, enhancing our entailment system to address two main issues introduced by this new setting:Expand
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