[PDF] Top 20 Named Entity Discovery Using Comparable News Articles

... Next we compared these vectors and calculated the similarity of their time series distributions across different news sources. Our basic strategy was to use the cosine similarity of two vectors as the likeli- hood ... See full document

... recent news events or topics after they read news ...Because news comments are freely written without checking, they are very dif- ferent from formal news ...particular, named entities ... See full document

... on comparable corpora that are constituted by pairs of similar articles, where the pairing information between the articles is ...pairings using the cross-language document si- milarity model ... See full document

... broadcast news and reported that the performance of NER systems degraded linearly with the word error rate of the speech recognition ...names). Named entity recognition of speech was further ... See full document

... to entity, knowledge-based NER is to extract candidates of the fully qualified names of entities in knowledge ...the entity “이소라 (Sora Lee)”, a common NER classifies it into classes such as “PER”, while ... See full document

... the NEWS workshop series is to bring together researchers across the world interested in identification, analysis, extraction, mining and transformation of named entities in monolingual or multilingual ... See full document

... The system performed relatively poorly in Arabic than in the other languages. Detailed error analy- sis revealed the following sources of error. Source NER The text of the English articles au- tomatically ... See full document

... a news article and generates concrete comparable questions for ...the comparable rela- tions in our database that are relevant to the arti- ...of named entities appearing in the ...some ... See full document

... journals and subscription-based journals, con- cluding that there are no significant differences between them. Therefore, a model trained on one of these sources can be used successfully on the other, as long as the ... See full document

... of news articles from the New Indian Express (in English) and Dinamani (in Tamil) roughly covering similar events in English and Tamil respective, and covering a period of about 8 months, between January ... See full document

... mation associated to each NE is used to select the best an- notation candidate. The combination algorithm evaluates NE labels and URIs provided by each engine, as well as the document type from which the NE was ... See full document

... of news and social media coverage comes a need to extract relevant information ...is Named Entity Linking (NEL), the grounding to knowledge base entries of the mentions extracted from ...with ... See full document

... A major challenge inherent in discovering transliterated NEs is the fact that a single en- tity may be represented by multiple transliteration strings. One reason is language morphology. For example, in Russian, ... See full document

... We attempted to create a complete set of an- swers for all the English names in our test set, but a small number of English names do not seem to have any standard transliteration according to the resources that we ... See full document

... Named Entity recognition has been getting much attention in NLP research in recent years, since it is seen as a significant component of higher level NLP tasks such as information distillation and ques- ... See full document

... Several previous works in NER have been done on languages such as English (J. Sun et al., 2002; C.W. Shih et al., 2004), Japanese (R. Sasano and S. Kurohashi, 2008), Chinese (J. Sun et al., 2002; C.W. Shih et al., 2004), ... See full document

... ate the set W of backdrop words for T using L. Then it uses the modified MED to measure the similarity of each candidate phrase g ∈ C with W and adds g to a temporary set A only if it has a “high” similarity with ... See full document

... of using hyperlinks for Wikipedia article classification was first reported by Dakka and Cucerzan ...features using a distributed ...Wikipedia using the Skip-gram model (Mikolov et ...intuition, ... See full document

... for named entity recognition in ...segments named entities using a CRF model with orthographic, contextual, dictionary and tweet-specific ...the named entities by applying Labeled-LDA ... See full document

... align Named Entities in parallel ...multilingual named entities from multilingual named entity corpora and used them to ...while comparable corpus we used is much more ... See full document