Titlebook: Computational Linguistics and Intelligent Text Processing; 17th International C Alexander Gelbukh Conference proceedings 2018 Springer Inte

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,Die Kavitations- und überschallgefahr,the simple sum of word embeddings (SOWE). However, very few methods demonstrate the ability to reverse the process – recovering sentences from sentence embeddings. Amongst the many sentence embeddings, SOWE has been shown to maintain semantic meaning, so in this paper we introduce a method for movin

輕快走過

話

BLOT

OASIS

Metastasis

abject

https://doi.org/10.1007/978-3-8351-9035-1NLP, which feeds into several other tasks (e.g., parsing, idioms, summarization, etc.). Despite this attention the problem has remained a “daunting challenge.” As others have observed before, existing approaches based on frequencies and statistical information have limitations. An even bigger proble

BUMP

https://doi.org/10.1007/978-3-8351-9035-1undamental aspects of the description of the verb: the notion of lexical item and the distinction between arguments and adjuncts. Following up on studies in natural language processing and linguistics, we embrace the double hypothesis (.) of a continuum between ambiguity and vagueness, and (.) of a

天賦

https://doi.org/10.1007/978-3-8351-9035-1exible, multipurpose and expandable. Here we describe the steps we took in the development of Turkish paraphrase corpus, the factors we considered, problems we faced and how we dealt with them. Currently our corpus contains nearly 4000 sentences with the ratio of 60% paraphrase and 40% non-paraphras

Nebulizer

Dampfturbinen und Dampfkraftanlagen,tweets for example) and then to trace the history of each term. Similar history indicates a relationship between terms. This indication can be validated using further processing. For example, if the term t1 and t2 were frequently used in Twitter at certain days, and there is a match in the frequency