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Deep Learning for NLP brings forth new and unprecedented challenges. While deep learning has been employed very successfully in image processing, the NLP community is still coming to terms with the ap...
“第五届基于自然标注大数据的自然语言处理国际学术研讨会”(The Fifth International Symposium on Natural Language Processing based on Naturally Annotated Big Data, NLP-NABD 2017)将与CCL 2017同时召开。NLP-NABD涵盖了前面列举的所有自然语言处理的研究内容,尤其关注在大数据...
The conference on Natural Language Processing and Chinese Computing (NLPCC) is the annual meeting of the CCF TCCI (Technical Committee of Chinese Information, China Computer Federation). NLPCC is a le...
Most language usage is interactive, involving rapid turn-taking. The turn-taking system has a number of striking properties: turns are short and responses are remarkably rapid, but turns are of varyin...
Several mechanisms of predictive language processing have been proposed. The possible influence of mediating factors such as working memory and processing speed, however, has largely been ignored. We ...
In his first description of Autism Spectrum Disorders (ASD), Kanner emphasized emotional impairments by characterizing children with ASD as indifferent to other people, selfabsorbed, emotionall...
Models of language processing traditionally assume that we process the language of all speakers similarly, regardless of who they are. Thus, they assume that we will understand the sentence I just...
The notion that prediction is a fundamental principle of human information processing has been en vogue over recent years. The investigation of language processing may be particularly illuminating f...
It is now well established that anticipation of upcoming input is a key characteristic of spoken language comprehension. It has also frequently been observed that literacy inuences spoken la...
Humans are especially good at taking another’s perspective—representing what others might be thinking or experiencing. This “mentalizing” capacity is apparent in everyday human interactions and conv...
Training speed and accuracy are two major concerns of large-scale natural language processing systems. Typically, we need to make a tradeoff between speed and accuracy. It is trivial to improve the tr...
This paper explores lexicographic semirings and their application to problems in speech and language processing. Specifically, we present two instantiations of binary lexicographic semirings, one invo...
Finding the right representations for words is critical for building accurate NLP systems when domain-specific labeled data for the task is scarce. This article investigates novel techniques fo...
Christian Jacquemin’s book Spotting and Discovering Terms through Natural Language Processing is a much needed and most welcome addition to the field of computational terminology. The central issue of...
The strong connection between knowledge representation and reasoning and natural language is the main theme of this book. The book is divided into two parts.Part I, consisting of five original or upda...

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