[PDF] Top 20 Named Entity Disambiguation for Noisy Text
Has 10000 "Named Entity Disambiguation for Noisy Text" found on our website. Below are the top 20 most common "Named Entity Disambiguation for Noisy Text".
Named Entity Disambiguation for Noisy Text
... on Named Entity Disambiguation, such as Bunescu and Pas¸ca (2006) and Mihalcea and Csomai (2007) fo- cused on local approaches where each mention is disambiguated separately using hand-crafted fea- ... See full document
11
Graph Ranking for Collective Named Entity Disambiguation
... entity popularity in the KB, and context similarity. The second line of approach is collective named entity disambiguation (CNED), where all men- tions of entities in the document are ... See full document
6
Classifying Relations for Biomedical Named Entity Disambiguation
... is named entity disam- biguation, which concerns grounding mentions of named entities in text to unambiguous concepts as defined in some standard dictionary or ...lexical disambiguation ... See full document
10
NEED4Tweet: A Twitterbot for Tweets Named Entity Extraction and Disambiguation
... unstructured text. IE systems attempt to in- terpret human language text in order to extract in- formation about different types of events, entities, or ...relationships. Named entity ... See full document
6
Chinese Name Disambiguation Based on Adaptive Clustering with the Attribute Features
... CLP2012 named entity recognition and disam- biguation in Chinese, a Chinese name disambigua- tion method based on adaptive clustering with the attribute features is proposed, which will resolve this complex ... See full document
6
A Feature Induction Algorithm with Application to Named Entity Disambiguation
... con- text of words, part of speech, lemmas, stems, ...For Named Entity Recognition, Maximum Entropy and CRFs (Laf- ferty, 2001) are mostly used, but other linear mod- els like Perceptron, Naive Bayes ... See full document
7
Feature Rich Twitter Named Entity Recognition and Classification
... Twitter Named Entity Recognition shared task (Strauss et ...on noisy user-generated text, was divided into two subtasks: ‘notypes’ and ...subtask, named entities should just be ... See full document
7
HYENA live: Fine Grained Online Entity Type Classification from Natural language Text
... 2 Entity Type Classification Systems State-of-the-art tools for named entity recognition such as the Stanford NER Tagger (Finkel et ...of entity mentions. The most common workaround to perform ... See full document
6
Attribute based Chinese Named Entity Recognition and Disambiguation
... previous disambiguation systems choose to work on personal name ...con- text as features to tackle the problem of cross- document co-reference by comparing, for any pair of entities in two documents, the ... See full document
5
diaNED: Time Aware Named Entity Disambiguation for Diachronic Corpora
... for Named Entity Disambiguation (NED), virtually all of them would map the mention Schumacher onto the former Formula One cham- pion Michael Schumacher, as the best-fitting en- tity from a ... See full document
8
Personalized Page Rank for Named Entity Disambiguation
... linking text mentions to KB nodes (Bunescu and Pas¸ca, ...links text mentions to the KB, and quite naturally utilizes information in the KB to support the linking ...the text mention and the a ... See full document
6
A Joint Chinese Named Entity Recognition and Disambiguation System
... the named entities has been established as an important task in several areas, including topic detection and tracking, machine translation, and information retrieval (Cucerzan, ...in text into predefined ... See full document
6
Robust Disambiguation of Named Entities in Text
... Recognizing named entities (NER tagging) in natural- language text has been extensively addressed in NLP research. The output is labeled noun phrases. How- ever, these are not yet canonical entities, ... See full document
11
Shared Tasks of the 2015 Workshop on Noisy User generated Text: Twitter Lexical Normalization and Named Entity Recognition
... In the text normalization task, participants were asked to convert non-standard words to their stan- dard forms for English tweets. Participating sys- tems were classified by their use of resources, into a ... See full document
10
Results of the WNUT16 Named Entity Recognition Shared Task
... on named entity recognition in Twitter, which was held at the 2nd Workshop on Noisy User-generated Text (W-NUT 2016) and attracted 10 participating teams, 7 of which described their approach ... See full document
7
GerNED: A German Corpus for Named Entity Disambiguation
... and cross-lingual similarities. As the effort of constructing such resources is substantial, there are currently only very few larger NED corpora: the resources used in the Knowl- edge Base Population (KBP) track of the ... See full document
8
A comparison of Named Entity Disambiguation and Word Sense Disambiguation
... anchor text contains this string (the LEX ...anchor text mismatch (the SENSE variant): given the entities that a dictionary lists for the target string, we include as training examples all contexts that ... See full document
8
Semi supervised Named Entity Recognition in noisy text
... of named entities in the training, development, and test data are shown in Figure ...certain entity types might be reflective of the category of the tweet, ... See full document
10
Enhancing Retrieval of Geological Text using Named Entity Disambiguation
... name disambiguation and query expansion on a geological text ...based disambiguation algorithm to resolve ambiguities in place names in the corpus is ...After disambiguation, using ... See full document
10
AIDArabic A Named Entity Disambiguation Framework for Arabic Text
... NED is one of the classical NLP problems that is essential for many Information Retrieval tasks. Hence, it has been extensively addressed in NLP research. Most of NED approaches use Wikipedia as their knowledge ... See full document
9
Related subjects