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Linking Implicit entities - DBpedia Meetup

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Entities are referred both explicitly and implicitly in text. This is a short presentation that discusses how to link implicit entities with DBpedia.

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Linking Implicit entities - DBpedia Meetup

  1. 1. Linking Implicit Entities with DBpedia Sujan Perera
  2. 2. Explicit Entities can be referred implicitly “New Sandra Bullock astronaut lost in space movie looks absolutely terrifying.” “ISRO sends probe to Mars for less money than it takes Hollywood movie to send a woman to space.” Implicit Implicit
  3. 3. Implicit communication - why? Express sarcasm/sentiment “I'm striving to be positive in what I say on Twitter. So I'll refrain from making a comment about the latest Michael Bay movie.” Emphasize features of the entity “Mason Evans 12 year long shoot won big in golden globe” Communicate common understanding “He is suffering from nausea and severe headaches. Dolasteron was prescribed.”
  4. 4. Linking implicit entities is important Sentiment Analysis Trend Detection Event Monitoring “New Sandra Bullock astronaut lost in space movie looks absolutely terrifying.” “Kinda sad to hear about that South African runner kill his girlfriend.” “Texas Town Pushes for Marijuana Legalization to Combat Cartel Traffic.” Gravity - Positive Oscar Pistorius Marijuana Legalization in El Paso Ignoring implicit entity mentions would adversely affect downstream analytics
  5. 5. What enables the implicit communication? New Sandra Bullock astronaut lost in space movie looks absolutely terrifying He is suffering from nausea and severe headaches. Dolasteron was prescribed. Gravity Sandra Bullock Space Adventure Film Alfonso Curan starred_in is_a directed Dolasteron is_a Anti-nausea drug
  6. 6. Complexity of domain knowledge Diverse characteristics “... Richard Linklater movie ...” “... Ellar Coltrane on his 12-year movie ...” “... 12-year long movie shoot ...” “... Mason Evan’s childhood movie …” Temporal relevancy Image credit: http://bit.ly/2bk8xdp Gravity Furious 7 The Martian new space movie Paul walker’s last movie fastest movie to earn $1 billion Fall 2013 April 2014 Fall 2015
  7. 7. Our approach consists of: Finding timely relevant entities Acquire domain knowledge about selected entities Model the entities for similarity computation Detect and disambiguate implicitly mentioned entities using modelled knowledge
  8. 8. Linking implicit entities Entities are modelled reflecting topical relevance between them The similarity between tweet and the entity models are calculated Gravity The Martian Interstellar Alfonso Curan Sandra Bullock ISRO Hollywood Women in space Christopher Nolan Matt Damon Knowledge componentsEntity “ISRO sends probe to Mars for less money than it takes Hollywood movie to send a woman to space” Mars
  9. 9. Initial results Entity Type Disambiguation Accuracy Movie 60.97% Book 61.05% ● Evaluated on 400 tweets selected based on keywords. ● A qualitative analysis revealed four reasons for failures. Happy to discuss few examples offline.
  10. 10. Thank You Reference: Sujan Perera, Pablo Mendes, Adarsh Alex, Amit Sheth, Krishnaprasad Thirunarayan, Implicit Entity Linking in Tweets , In proceedings of Extended Semantic Web Conference (ESWC), Crete, Greece, June, 2016

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