[PDF] Top 20 Generalisation in named entity recognition: A quantitative analysis

... of generalisation and can detect novel entity surface forms; however, recall is still lower than precision here, achieving roughly the same scores across these three (from ... See full document

... The goal of active learning is to minimise the cost of producing an annotated dataset, in which annotators are assumed to be per- fect, i.e., they always choose the correct la- bels. However, in practice, annotators are ... See full document

... classifying named entities is difficult, as they are concise, containing incomplete sentences, hence, determining the type of entities becomes ...of entity, whether the tweeter is referring to a TV show, a ... See full document

... high-quality analysis results of one language, such as English, into other lan- guages on the basis of word ...English named entities onto Chi- nese by carefully designed heuristic ... See full document

... Because of the usage of Twitter, it is a perfect source of data to determine the current overall opinion about anything.It is a rapidly expanding service with over 200 million registered users out of which 326 million ... See full document

... Text classification problems and algorithms have been around for a while now. The performance of a text classification model is heavily dependent upon the type of words used in the corpus and type of features created for ... See full document

... To identify noun phrases,one of the machine learning methods Maximum entropy model is used. Machine Learning is a method of data analysis that automates analytical model building.Using algorithms that iteratively ... See full document

... in Named Entity Recog- nition (NER) have resulted in better and bet- ter ...detailed analysis of the types of errors in state-of-the-art machine learning (ML) ... See full document

... We perform our NER experimentation using the NER software (Pouliquen and Steinberger, 2009) of the Europe Media Monitor (EMM) multilingual media analysis and information extraction system. EMM processes ... See full document

... to entity linking, the surrounding textual context in mi- croblogs is often not sufficient for disambiguation, even for human ...makes entity linking in microblogs a particularly challenging, open research ... See full document

... In the previous section, we have shown that ex- tending the baseline feature set with morpholog- ical features significantly boosts system perfor- mance. However, morphological analysis was per- formed with a ... See full document

... Datasets: We compare our HNNER model us- ing different nested and hierarchical scenarios. First, we compare against standard baselines for flat NER using the splits and the JNLPBA dataset (Gridach, 2017), considering ... See full document

... In Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and Proceedings of the 17th International Conference on Compu- tational Linguistics, pages 848-[r] ... See full document

... a named entity ...the named en- tity for the current word is ...an entity, there will be a bi- nary rule applied where one word will be under the left child and the other word will be under ... See full document

... The crawler is a web-bot or spider which browses the web in an automated manner. It starts with a list of Uniform Resource Locators (URL) that it is to visit, called the seeds. As the crawler visits these URL’s it ... See full document

... 1. We have developed the rule to tag person's name having length of three words. If person name has longer string of words like four words in a name then it will tag three words as one Named Entity and ... See full document

... nested named enti- ties of the same ...each named entity in a ...nested entity detection with linear time ...flat named entity recognition (Lample et ... See full document

... for named entity ...dependent named entity labels for English, Span- ish, German and ...of named entities: locations, per- sons, organizations, and miscellaneous entities that do not ... See full document

... Shortage of gold standards has initially limited NER investigation to high-resource languages such as English, German and Spanish (Tjong Kim Sang and De Meulder, 2003). Gradually, publicly available encyclopediae have ... See full document

... Existing approaches for recognizing non- overlapping named entities usually treat the NER task as a sequence labeling problem. Var- ious sequence labeling models achieve decent performance on NER, including ... See full document