Named Entities
Comparison of Representations of Named Entities for Document Classification
... We use convolutional neural networks (CNNs), which take word embeddings as input. Typically word embeddings are built by treating a corpus as a sequence of tokens, where named entities (NEs) receive no ...
5
Building Language Models for Text with Named Entities
... Language model is a fundamental component in Natural Language Processing (NLP) and it sup- ports various applications, including document generation (Wiseman et al., 2017), text auto- completion (Arnold et al., 2017), ...
11
Improving Topic Quality by Promoting Named Entities in Topic Modeling
... that named entities are well suited to be used as domain-specific terms and produce high- quality topics in news-related ...of named entities, as well as adding new coherence measures, such as ...
7
Annotating Named Entities in Consumer Health Questions
... three entities above, lung ( ANATOMY ), cancer ( PROBLEM ), and lung cancer ( PROBLEM ), can be annotated in the reference standard, in- dicating that the former two are semantically relevant to the third, the top ...
8
Multiword Expressions and Named Entities in the Wiki50 Corpus
... and named entities are an- notated at the same time was ...and named entities in the corpus by dictionary-based and machine learning meth- ods as ...
7
Recognition of Named Entities Boundaries in Polish Texts
... Named entity recognition (NER) aims at identi- fying text fragments which refer to some objects and assigning a category of that object from a pre- defined set (for example: person, location, orga- nization, ...
6
Annotating and Recognising Named Entities in Clinical Notes
... This paper presents ongoing research in clinical information extraction. This work introduces a new genre of text which are not well-written, noise prone, ungrammat- ical and with much cryptic content. A cor- pus of ...
9
The role of named entities in Web People Search
... by named entities (NEs): (i) How reliable is NEs overlap between documents as a source of evidence to cluster pages? (ii) How much recall does it provide? (iii) How unique is this signal? ...
9
Recognizing Named Entities in Tweets
... The challenges of Named Entities Recogni- tion (NER) for tweets lie in the insufficient information in a tweet and the unavailabil- ity of training data. We propose to com- bine a K-Nearest Neighbors (KNN) ...
9
On Jointly Recognizing and Aligning Bilingual Named Entities
... given named en- tity (NE) is translated ...(2) entities within an aligned pair should share the same ...bilingual named entities between Chinese and ...
9
Mapping Arabic Wikipedia into the Named Entities Taxonomy
... Relying on supervised machine learning technologies to recognize Named Entities (NE) in the text requires the development of a reasonable volume of data for the training phase. Manually developing a ...
10
Robust Similarity Measures for Named Entities Matching
... coreferent named entities (NE in short) in text col- lections, focusing primarily on orthographic vari- ations in nominal groups (we do not handle the case of pronominal ...in entities is useful in ...
8
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 ...
5
Heuristic Methods for Reducing Errors of Geographic Named Entities Learned by Bootstrapping
... traditional named entity task, we deal with sub-categorized ge- ographic named entities ...Geographic named entities can be classified into many sub-types that are critical for ...
12
Proceedings of the 2010 Named Entities Workshop
... of named entities in monolingual or multilingual natural language ...the named entities, such as, orthographic and phonetic characteristics, corpus analysis, unsupervised and supervised ...
12
Proceedings of the Seventh Named Entities Workshop
... series, Named Entities WorkShop (NEWS), focus on research on all aspects of the Named Entities, such as, identifying and analyzing named entities, mining, translating and ...
10
Fine Grained Classification of Named Entities
... of named entities will require not only more sophisticated feature selection, but also a better data generation ...of named entities as a word sense disambiguation problem (where categories ...
7
Large scale Controlled Vocabulary Indexing for Named Entities
... The goal of the Entity Indexing R&D program at LEXIS-NEXIS is to add controlled vocabulary indexing for named entities to searchable fields in appropriate news documents across thousands[r] ...
6
Benchmarking the Extraction and Disambiguation of Named Entities on the Semantic Web
... entities in texts, was proposed by Rau (Rau, 1991). This work relies on heuristics and definition of patterns to rec- ognize company names in texts. The training set is defined by the set of heuristics chosen. ...
8
Proceedings of the 3rd Named Entities Workshop (NEWS 2011)
... series, Named Entities WorkShop (NEWS), focuses on research on all aspects of the Named Entities, such as, identifying and analyzing named entities, mining, translating and ...
18