[PDF] Top 20 Exploring Entity Relations for Named Entity Disambiguation

... of named entities (NE) mentioned in text (such as people, or- ganizations, and geographic locations) plays an im- portant role in various natural language processing and information retrieval ...of Named ... See full document

... new named entities that are unseen in the training ...known relations among en- tities within a graph ...the entity linking performance given ambiguous en- tities unseen in training ... See full document

... The solution graph contains all possible candi- dates for each NE mention in the document. Each candidate has an initial confidence, with some connected by association relations. The disam- biguation phase ranks ... See full document

... successful entity disambiguation algorithm would benefit from both the initial similarity between can- didate and entity, as well as the coherence among entities in the same ...every entity ... See full document

... The dataset for each scenario is split into a train- ing dataset and a testing dataset which are dis- joint in terms of the query names used in their examples. For instance, if a query for the name John Williams is ... See full document

... relationships. Named entity extraction (NEE) is a subtask of IE that aims to locate phrases (men- tions) in the text that represent names of persons, organizations, or locations regardless of their ...type. ... See full document

... In the context of databases, traditional entity dis- ambiguation methods rely on similarity functions over attributes associated to the entities (de Car- valho et al., 2012). Obviously, such an approach is ... See full document

... First, we noticed that in 31.5% of the true errors (41/130) our model selected an entity that can be understood as a specific (6.5%) or general (25%) realization of the correct solution. For example, instead of ... See full document

... For each relation, a vector of features were ex- tracted. We followed the PPI extraction method described in (Miyao et al., 2008), where two types of features were used for a SVM classifier. The first was bag-of-word ... See full document

... We have presented a study on evaluation and comparison of different retrieval algorithms on a Geological corpus. We proposed a Co-occurrence graph based method of query expansion with place disambiguation. We ... See full document

... of named entities across all ...an entity in language l ∈ L − {en} has an English counter part, the English one is kept instead of that in language l, otherwise, the original entity is ...the ... See full document

... We propose a novel entity disambigua- tion model, based on Deep Neural Net- work (DNN). Instead of utilizing simple similarity measures and their disjoint com- binations, our method directly optimizes document and ... See full document

... Abstract. Named entities (NEs) are important in many Natural Language Processing (NLP) applications, and discovering NE-related relations in texts may be beneficial for these ...“named entity” ... 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

... For Named Entity Recognition, Maximum Entropy and CRFs (Laf- ferty, 2001) are mostly used, but other linear mod- els like Perceptron, Naive Bayes and linear SVMs are employed (Figure ... See full document

... We also use a small test set within 6 test names, which is released by the Second CIPS- SIGHAN. The results in Table 3 show that the proposed method gives an average precision of 74.41%. However, the recall value is not ... See full document

... To find the best parameters for our machine learning model, we ran a parameter search on the CoNLL development set. We used η = 10, 000 trees, and tested all combinations of the learning rate β = {0.01, 0.02, 0.03, 0.05} ... See full document

... We also exploit the fact that Wikipedia enables contributors to assign categories to each article, which are defined as “major topics that are likely to be useful to someone reading the article”. Be- cause any Wikipedia ... See full document

... of Named Entity Disambiguation (NED) is to link each mention of named entities in a docu- ment to a knowledge-base of ...as Entity Linking or Entity Resolution (Bunescu and ... See full document

... To gain further insights about the importance of time-awareness, we analyzed the results of diaNED-2 with and without temporal feature on the HN-timediff set of our benchmark (Table 4). On these particularly challenging ... See full document