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

1. Linking
Implicit
Entities with
DBpedia
Sujan Perera

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. 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. 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. 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. 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. 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. 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. 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. 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