[PDF] Top 20 Linking Named Entities to Any Database
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Linking Named Entities to Any Database
... NED system used in production by a major Web company. This system is a modified version of the system described by Zhou et al. (2010), where cer- tain features have been removed for efficiency. We refer to this as the ... See full document
12
Fine Grained Classification of Named Entities
... A natural limitation of the topic signature features is their inability to give weight to related and synonymous terms that do not appear in the training data. To address this limitation, we took advantage of the online ... See full document
7
The Second Cross Lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages
... Multilingual Named Entity Challenge in Slavic ...of named entities in Web documents, their normalization, and cross-lingual ...the named entity recognition task reached 90% F-measure, much ... See full document
12
Towards Zero resource Cross lingual Entity Linking
... Cross-lingual entity linking (XEL) grounds named entities in a source language to an English Knowledge Base (KB), such as Wikipedia. XEL is challenging for most lan- guages because of limited ... See full document
10
KVQA: Knowledge-Aware Visual Question Answering
... visual named entity linking where the task is to link the named entity appearing in an image to one of the entities in ...visual named entity linking, we also provide a support ... See full document
9
Linking, Searching, and Visualizing Entities in Wikipedia
... two named-entity recognition systems trained on the annotated data: The first one being based on an exten- sion of the fixed-size ordinally forgetting encoding (FOFE) technique (Xu et ... See full document
7
A Hybrid Transliteration Model for Chinese/English Named Entities —BJTU NLP Report for the 5th Named Entities Workshop
... In this evaluation, in addition to the official data sets, we proposed to import the Wikipedia data set as an external dictionary. After obtaining the data from the Wikipedia database, we use clustering and ... See full document
5
Linking Entities Across Images and Text
... We manually lemmatized and simplified the im- age labels and the entity mentions so that they are compatible with WordNet entries. It resulted in a smaller set of labels: 250 instead of the 275 orig- inal labels. We also ... See full document
9
Robust Similarity Measures for Named Entities Matching
... use any available tool to de- sign a specialized method for the matching ...of any external resources (e.g. database, names dictionaries, ...of any information about the entities to ... See full document
8
An Experiment on Automatic Detection of Named Entities in Bangla
... a database of middle names and titles. On the other hand, any statistical technique is based on probability, and estimation of probability needs a reasonable corpus size that is costly and may not be ... See full document
8
Name Variation in Community Question Answering Systems
... of named entities and entity name ...entity linking can be used to identify relevant past resolved questions with shared needs as a given question by disambiguating named entities and ... See full document
10
Scalable graph based method for individual named entity identification
... identify entities in the top candidates from ...that named entity linking systematically improves over filtering us- ing graph-based identification (for 2 ≤ K ≤ 10), up to ...Our linking ... See full document
9
Building Language Models for Text with Named Entities
... ferent project versions. We partition the codebase of a project into multiple versions based on the code commit history retrieved from GitHub; each version is taken at an interval of 6 months. For example, anything ... See full document
11
Annotating Named Entities in Twitter Data with Crowdsourcing
... simple named entity anno- tations for Twitter status ...of named entity experiments, Twitter is far more informal and ...of named en- tity recognition in domains like Facebook and ... See full document
9
Recognition of Named Entities Boundaries in Polish Texts
... In the paper we discuss the problem of low recall for the named entity (NE) recogni- tion task for Polish. We discuss to what extent the recall of NE recognition can be improved by reducing the space of NE cat- ... See full document
6
Learning to Search for Recognizing Named Entities in Twitter
... Named-Entity Recognition (NER) is a well-studied task for over two decades now with notable success for noise-free and grammatically well-structured documents. The final goal of a NER system is to clas- sify ... See full document
7
Heuristic Methods for Reducing Errors of Geographic Named Entities Learned by Bootstrapping
... Ambiguous entities often have different prior probability according to each class. For example, ‘China’ appears frequently in general text as a country name but rarely as a city name. ‘Canada’ is another example. ... See full document
12
Improving Topic Quality by Promoting Named Entities in Topic Modeling
... Majority of studies also use a reference cor- pus like Wikipedia for calculating word frequen- cies and co-occurrences (Aletras and Stevenson, 2013; O’Callaghan et al., 2015; Lau et al., 2014; R¨oder et al., 2015; Yang ... See full document
7
Comparison of Representations of Named Entities for Document Classification
... As seen in Table 2, the best data representa- tion for Sector Classification, is split-name, where each token has the same embedding regardless whether it is used in a proper-name or a common- noun context. The worst ... See full document
5
Using Word Embeddings to Translate Named Entities
... translating Named Entities (NEs) from a resource-rich language to a language low on resources relevant to the task at hand, introducing a novel, yet simple way of obtaining bilingual word ...Chinese ... See full document
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