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22 Documents

Gabor Melli's Knowledge Base (GM-RKB)

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2023-09-08 About

Mining Quality Phrases from Massive Text Corpora (2015)

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2019-07-15 About

Wikify!: linking documents to encyclopedic knowledge (2007)

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2019-04-16 About

Automatic Tag Recommendation Algorithms for Social Recommender Systems - Microsoft Research (2009)

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2018-08-07 About

Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation (2018)

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2018-03-04 About

Enriching Word Embeddings Using Knowledge Graph for Semantic Tagging in Conversational Dialog Systems - Microsoft Research (2015)

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> new simple, yet effective approaches to
learn domain specific word embeddings.

## Intro

> Adapting word embeddings, such as jointly capturing
syntactic and semantic information, can further enrich semantic
word representations for several tasks, e.g., sentiment
analysis (Tang et al. 2014), named entity recognition
(Lebret, Legrand, and Collobert 2013), entity-relation extraction
(Weston et al. 2013), etc. (Yu and Dredze 2014)
has introduced a lightly supervised word embedding learning
extending word2vec. They incorporate prior information to the objective
function as a regularization term considering synonymy relations
between words from Wordnet (Fellbaum 1999).

> In this work, we go one step further and investigate if
enriching the word2vec word embeddings trained on unstructured/
unlabeled text with domain specific semantic relations
obtained from knowledge sources (e.g., knowledge
graphs, search query logs, etc.) can help to discover relation
aware word embeddings. Unlike earlier work, **we encode the
information about the relations between phrases, thereby,
entities and relation mentions are all embedded into a low dimensional
vector space**.

## Related work (Learning Word Embeddings with Priors)

- word2vec
- Relational Constrained Model (RTM) (Yu and Dredze 2014)
While CBOW learns lexical word embeddings from provided text, the RTM learns embeddings of words based on their similarity to other words provided by a knowledge resource (eg. wordnet)
- Joint model  (Yu and Dredze 2014)
combines CBOW and RTM through linear combination

2017-10-02 About

A Ranking Approach to Keyphrase Extraction - Microsoft Research (2009)

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2017-06-27 About

Baloo - KDE Community Wiki

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2014-02-05 About

Thesaurus-augmented Search with Jena Text | ZBW Labs

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2013-08-12 About

Faviki

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2010-01-20 About

Case Study: Semantic Tags

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2008-12-10 About

Faviki - Social bookmarking tool using smart semantic Wikipedia (DBpedia) tags

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2008-09-29 About

Linux.com :: Nepomuk and KDE to introduce the semantic desktop

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2008-08-29 About

Faviki uses Wikipedia and DBpedia for semantic tagging

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2008-06-25 About

Case Study: KDE 4.0 Semantic Desktop Search and Tagging

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2008-06-04 About

Applications Built on Jena - Tom Heath's Displacement Activities - by tomheath

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2007-08-22 About

RE: [VM] content-dependent redirects in apache ... help! from Miles, AJ \(Alistair\) on 2005-10-03 (public-esw-thes@w3.org from October 2005)

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2007-01-03 About

SourceForge.net: del.icio.us Java API

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2006-09-25 About

chillyinside.com » Blog Archive » 2006 Jena User Conference

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2006-05-26 About

Jena User Conference - some interesting UI related papers/presentations from Shabajee, Paul on 2006-05-17 (public-semweb-ui@w3.org from May 2006)

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2006-05-25 About

hackdiary: Using Wikipedia and the Yahoo API to give structure to flat lists

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2005-09-05 About

Lost Boy: Fun with Jena Rules

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2005-06-24 About