[PDF] Top 20 The ConceptMapper Approach to Named Entity Recognition

... that ConceptMapper should perform relatively equivalently to MetaMap, with mostly similar functionality, but without the limitation of being tied solely to ...Furthermore, ConceptMapper is light weight, ... See full document

... • Context word feature: Previous and next words of a particular word might be used as a feature. • Word suffix: Word suffix information is helpful to identify NEs. This feature can be used in two different ways. The ... See full document

... Unlike supervised learning, which may require additional examples in the training data for new categories of NE, our semi-supervised approach used the ANERcorp training data without any ad- dition or modification. ... See full document

... our approach based on the linear mixture models outperforms the greedy approach (with a slight but statistically significant difference) because the use of context model resolves more ambiguities in ...our ... See full document

... • Machine-labeled Wikipedia (WIKI): When terms or names are first mentioned in a Wikipedia article they are often linked to the corresponding Wikipedia page by hyperlinks, which clearly highlights the possible ... See full document

... The tagger is implemented using Viterbi algorithm for second order Markov models. Spanish TnT is a statistical approach, based on a Hidden Markov Model that uses the Viterbi algo- rithm with beam search for fast ... See full document

... coarse-grained named entities in seven languages, identifying each entity’s base form, and clustering name mentions across the multilingual set of ...project named en- tity recognition capability ... See full document

... with Named Entity Recognition, In this Paper proposes a new approach to twitter user modeling and tweet recommendation by making use of named entities extracted from ...NER ... See full document

... Methods based on handcrafted rules involve designing and implementing lexical-syntactic extraction patterns. They make use of existing information lists such as dictionaries that can frequently identify candidate ... See full document

... Named Entity Recognition (NER) is a subtask of machine translation and information ...retrieval. Named entities are words which belong to certain categories like persons, places, ... See full document

... Named Entity Recognition (NER) is a task which helps in finding out Persons name, Location names, Brand names, Abbreviations, Date, Time etc and classifies them into predefined different ...different ... See full document

... As the preprocessing phase, the PersoSentencesCorpus has been normalized and tokenized following the approach proposed in (Feely et al., 2014) that suggests applying a pipeline of useful tools to deal with written ... See full document

... However, a system normally does not understand whether the current token has been identified as one of the named-entities or not. Therefore, the system will also check the current token against the existing ... See full document

... Multi-Grained Named Entity Recognition where multiple entities or en- tity mentions in a sentence could be non- overlapping or totally ...recognize named entities without ex- plicitly assuming ... See full document

... machines[10].This approach explores the study and algorithms that can learn from and make predictions on ...data.This approach is used to build a model from example inputs in order to make predictions or ... See full document

... Some works, as in this paper, perform end- to-end EL trying to leverage the relatedness of mention detection or NER and EL, and obtained promising results. Kolitsas et al. (2018) proposed a model that performs mention ... See full document

... cascaded approach is substan- tially shorter than that of all of the other ...single-phase approach, training a CRF by maximum likelihood (ML) using the L-BFGS algo- rithm is the slowest and requires around ... See full document

... Arabic is the official language in the Arab world where more than 300 million people speak Arabic as their native language (Shaalan, 2010). Arabic is a Semitic language and one of the richest natural languages in the ... See full document

... (4). Use of gazetteers and lexicon for handling unknown words: We have used person, location and organization name lists along with the lexicon to deal with the unknown words. If the confidence of the tag assigned to an ... See full document

... 5. Experimental Results and Discussions 5.1 The Datasets Used in Our Experiments We use a number of openly available datasets for our training and testing, including the PKU-corpus (Yu 99), Hownet (Dong & Dong 00), ... See full document