[PDF] Top 20 A Large-Scale Web Data Collection as a Natural Language Processing Infrastructure

... of Natural Lan- guage Processing (NLP) ...the language resources. In recent years, language re- sources acquired from the Web such as 5-gram word se- quences (Brants and Franz, 2006) ... See full document

... using web data by querying Altavista and ...while web counts usually out- performed BNC counts and consistently outper- formed the baseline, the best performing system is usually a supervised method ... See full document

... for large- scale datasets and used them to discover actionable conversation strategies that are associated with bet- ter conversation ...Stanford Data Science Initiative, Boe- ing, Lightspeed, SAP, ... See full document

... of data mining which utilizes natural language processing techniques to extract people‟s opinion from World Wide ...huge collection of valuable information in the ... See full document

... of data-driven paraphrasing to natural language understand- ...a large collection of syntactic para- phrase pairs, and introduce an adaptation scheme that allows us to tackle a variety ... See full document

... a large-scale corpus of electronic articles in the cardiology domain (85 million+ words) in the framework of a digital library project that tailors the presentation of online medical literature to both ... See full document

... raw data of resources are imported and loaded into an efficient knowledge base (KB) system in the form of entities and relations (RDF-like ...query language of the KB ... See full document

... In this paper, we proposed an approach to build a large scale text corpus for Tibetan natural language processing by extracting text from three biggest web sites. Consequently, ... See full document

... the scale problem. One of the study's proposed RDF data storage based on path, but this method based on path eventually in the relational database based on: it is the sub graph stored in different ... See full document

... Several large, manually developed subcategorized lexicons are available for English, e.g. the COMLEX Syntax (Gr- ishman et al., 1994) and the ANLT (Boguraev and Briscoe, 1987) dictionaries. However, manually built ... See full document

... of natural lan- guage processing (NLP) has witnessed the emer- gence of transfer learning methods which have significantly improved the state of the art (Dai and Le, 2015; Peters et ...on large text ... See full document

... the processing of continuous corpora, ...media data. In order to make the data import as easy as possible for users, import interfaces have been defined and implemented for XML, CSV, HTML, DOC, DOCX, ... See full document

... of data include man- ually annotated ...machine-readable language (Tasse and Smith, ...meal data and thus, differs significantly from existing resources in terms of ... See full document

... Existing methods for collecting texts from endangered languages are not creating the quantity of data that is needed for cor- pus studies and natural language process- ing tasks. This is because the ... See full document

... Economic aspects differ from financial aspects. The latter is associated with positive financial balance sheets and the ability of an organization to fulfill human or environmental needs, whereas the economic aspect is ... See full document

... Recent large-scale hierarchical classifica- tion tasks typically have tens of thousand- s of classes as well as a large number of samples, for which the dominant solution is the top-down method due ... See full document

... SPIRIT web collection and a number of statistics derived from our initial ...The collection appears to be a useful resource for those who require geographically more heterogeneous data than ... See full document

... WSR is poor, for the majority of UWs appear with a low frequency or even do not appear in this cor- pus. On the MIDDLE corpus, the performance is better than the one on the SMALL corpus. But on the LARGE corpus, ... See full document

... Drawbacks Even though the RTE platforms have been notoriously difficult for NLI systems (espe- cially the three way entailment tasks), most of the examples do not involve deep semantic inference but are rather ... See full document

... Communication in large distributed AI Systems for Natural Language Processing C o m m u n i c a t i o n in large distributed AI Systems for Natural Language Processing J a n W A m t r u p * U n i v e[.] ... See full document