[PDF] Top 20 Comparison of Annotating Methods for Named Entity Corpora

... on corpora in other genres but newswires, because it is trained only from the newswire ...two methods to annotate a corpus, which are the semi- automatic and fully manual annotations and dis- cuss them, ... See full document

... Canonical correlation analysis (CCA) was introduced by Hotelling [40]. CCA is a sta- tistical method to investigate the relationship between two variable sets, and it can concurrently examine the correlation of variables ... See full document

... For comparison, we also trained two BiLSTM- CRF models (Ma and Hovy, 2016) from scratch, us- ing Word2Vec and GloVe word embeddings. These models were trained on the CoNLL2003 English dataset. Table 1 shows an ... See full document

... 3.3. The effect of pre-annotating with MMTx We hypothesized that providing the annotators with annotations from a third party system, MMTx, would be a good way to improve the speed and consistency of the ... See full document

... previous methods of extracting bilingual NEs are based on parallel ...align Named Entities in parallel ...multilingual named entities from multilingual named entity corpora and ... See full document

... NED methods and tools have been greatly ad- vanced and become mature. Many systems use a combination of (i) local features like string sim- ilarities, lexico-syntactic characteristics and con- text between ... See full document

... It is well known that the performance of many machine learning systems is heavily determined by the size and quality of the data used as input to the training algorithms. Additionally, for cer­ tain applications in ... See full document

... fixing named entity ...if named entities appear within a certain distance (in most experiments we used a sliding window with a distance inferior to 10 between the two named entities) (Freitag, ... See full document

... annotated corpora that mostly cover the standard set of NE ...supervised methods, such as semi-supervised learning and distant learn- ing, but the performance of such methods is lower than that ... See full document

... To demonstrate that score propagation can further help transliteration, we use the combination scores in Table 3 as the initial scores, and apply our prop- agation algorithm to iteratively update them. We remove the ... See full document

... noun as opposed to noun in ZH, additionally the considerably low number of brands in ZH test data (60). On the other hand, it is intuitive that Model yields one of the best performance among the tags, since it is the ... See full document

... Named entity (NE) equivalents are useful in many multilingual tasks including MT, transliteration, cross-language IR, ...comparable corpora. These methods usually focus only on single-word NE ... See full document

... comparable corpora using time series and transliteration model was proposed in (Klementiev and Roth, 2006), and extended for NETE mining for several languages in (Saravanan and Kumaran, ...such methods miss ... See full document

... Early methods to improve the quality and speed of human annotations have included: dynamic sentence selection in combination with iterative pre-annotation and qualitative checks (Tsuruoka et ... See full document

... about Named Entities encountered in such corpora, and use them to develop an algorithm that extracts pairs of NEs across ...bilingual corpora that is weakly tem- porally aligned, and a capability to ... See full document

... atorial optimization problem is NP-hard with re- spect to the number of nodes, since they gener- alize Steiner-tree problem (Hoffart et al., 2011). However heuristics to solve this problem have been experimented: ... See full document

... specific entity as a measure of the strength of ...just named entities but also many general topics for which there are Wikipedia ar- ...known entity type, and because we would like to construct a ... See full document

... Parallel Named Entity pairs are important resources in several NLP tasks, such as, CLIR and MT ...parallel named entity transliteration pairs in English and an Indian language, Tamil, ... See full document

... Not all persons discussed in a text are equally im- portant. We would like to discover what persons are in the focus of a text and what persons are only mentioned briefly, because we presume that more important persons ... See full document

... of named entity tags onto the Balto- Slavic side of the parallel collection gives us a training collection for a supervised NER sys- ...Lattice named entity recognizer (Mayfield et ... See full document