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[PDF] Top 20 Multi lingual Entity Discovery and Linking

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Multi lingual Entity Discovery and Linking

Multi lingual Entity Discovery and Linking

... of multi-lingual word ...and linking in very low resource ...on Entity Discovery which is an essential component of ...and linking, knowledge acquisition, and the use of acquired ... See full document

8

Neural Cross Lingual Coreference Resolution And Its Application To Entity Linking

Neural Cross Lingual Coreference Resolution And Its Application To Entity Linking

... feed-forward neural layer which acts as a binary classifier to predict the correct link for m. Specif- ically, the feature abstraction layer computes co- sine similarities (Sil and Florian, 2016) between the ... See full document

6

Cross lingual Joint Entity and Word Embedding to Improve Entity Linking and Parallel Sentence Mining

Cross lingual Joint Entity and Word Embedding to Improve Entity Linking and Parallel Sentence Mining

... sponding entity title in the target language if it exists, or in the source language ...joint entity and word embedding learned from this kind of data not only can dis- ambiguate linkable entities but can ... See full document

11

Cross lingual Linking of Multi word Entities and their corresponding Acronyms

Cross lingual Linking of Multi word Entities and their corresponding Acronyms

... for multi-word entity names because such names are usually com- posed of words from the common language ...the multi-word forms, either out of negligence or for space reasons ...the entity of ... See full document

8

SemLinker, a Modular and Open Source Framework for Named Entity Discovery and Linking

SemLinker, a Modular and Open Source Framework for Named Entity Discovery and Linking

... a linking sys- tem would find multiple candidate nodes in a Wikipedia- based KB to link “Cambridge” to, since the Wikipedia Cambridge (disambiguation) page contains no less than 54 ... See full document

5

A Regional News Corpora for Contextualized Entity Discovery and Linking

A Regional News Corpora for Contextualized Entity Discovery and Linking

... Corpus evaluation. The evaluation was performed without taking into consideration NIL entities and draws upon the following four named entity linking systems: Ba- belfy (Navigli and Moro, 2014), Spotlight ... See full document

6

A Multi media Approach to Cross lingual Entity Knowledge Transfer

A Multi media Approach to Cross lingual Entity Knowledge Transfer

... project Entity Discovery and Linking results from HLs documents back to ...from multi- ple data modalities, including image pro- cessing (image-to-image retrieval, visual similarity and face ... See full document

12

Linguistic Resources for Entity Linking Evaluation: from Monolingual to Cross-lingual

Linguistic Resources for Entity Linking Evaluation: from Monolingual to Cross-lingual

... Named Entity Linking (NEL) and Slot ...Named Entity Linking evaluation of KBP, focusing on annotation methodologies, process, and features of corpora from 2009 to 2011, with a highlighted ... See full document

8

Multilingual Entity, Relation, Event and Human Value Extraction

Multilingual Entity, Relation, Event and Human Value Extraction

... This paper demonstrates a state-of-the-art end- to-end multilingual (English, Russian, and Ukrainian) knowledge extraction system that can perform entity discovery and linking, re- lation extraction, ... See full document

6

Zero-Shot Neural Transfer for Cross-Lingual Entity Linking

Zero-Shot Neural Transfer for Cross-Lingual Entity Linking

... So far, we have discussed transferring to the LRL from a sin- gle HRL. However, we can easily train multiple encoders on different HRLs. In order to leverage these models, we use a simple weighting mechanism, whereby the ... See full document

8

Towards Zero resource Cross lingual Entity Linking

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 ...bilingual entity maps, multilingual embeddings) that are ... See full document

10

Entity Linking at Web Scale

Entity Linking at Web Scale

... also allows us to capture assertions concerning the long tail of entities (e.g., “prune juice”) that are not prominent enough to have their own Wikipedia ar- ticle. Wikipedia has dedicated articles for “apple juice” and ... See full document

5

Entity Linking for Tweets

Entity Linking for Tweets

... mention- entity compatibility and global document-level topical coherence of the entities, and show that considering global coherence between entities significantly improves the ...different entity ... See full document

8

Joint Coreference Resolution and Named Entity Linking with Multi Pass Sieves

Joint Coreference Resolution and Named Entity Linking with Multi Pass Sieves

... gold linking leads to better mention detection and better linked ...gold linking, the whole mention, “The gover- nor of Alaska, Sarah Palin,” is linked to the politi- cian, while automatic linking ... See full document

11

List only Entity Linking

List only Entity Linking

... List-only Entity Linking through seed ...the entity disam- biguation phase, we utilize the selected mentions as a bridge between uninformative entities and other ...its entity candidates to ... See full document

6

Mutual Disambiguation for Entity Linking

Mutual Disambiguation for Entity Linking

... also introduced the notion of semantic relatedness. Alternative propositions were suggested in other works like (Han and Zhao, 2009) that considered the relatedness of common noun phrases in a men- tion context with ... See full document

6

A Sequence Learning Method for Domain Specific Entity Linking

A Sequence Learning Method for Domain Specific Entity Linking

... Manually annotated texts tend to be biased be- cause people usually select familiar terms for the entity annotation. Also, this annotation process is sometimes noisy for unpopular terms. There- fore, Wikipedia ... See full document

8

A Multi task Learning Approach to Adapting Bilingual Word Embeddings for Cross lingual Named Entity Recognition

A Multi task Learning Approach to Adapting Bilingual Word Embeddings for Cross lingual Named Entity Recognition

... cross- lingual name-entity recognition (NER) system in a language with no labeled ...proposed multi-task model jointly trains bilingual word embeddings while optimizing a NER ... See full document

6

An Entity Topic Model for Entity Linking

An Entity Topic Model for Entity Linking

... referent entity of a mention is reflected by its context”(Mihalcea & Cosomai, 2007; Zhang et ...referent entity of the mention Lion in Figure 1 is the entity Mac OS X Lion, since this ... See full document

11

Progress on Multi-lingual Named Entity Annotation Guidelines using RDF (S)

Progress on Multi-lingual Named Entity Annotation Guidelines using RDF (S)

... This paper provides a discussion and concise summary of the PIA (Portable Information Access project) guidelines for annotators and tool developers for annotating what we call named entity ‘plus’ (NE+) expressions ... See full document

8

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