Linking Implicit Entities

with DBpedia

Sujan Perera

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

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.”

Linking implicit entities is importantSentiment 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

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

FilmAlfonso Curan

starred_in

is_a

directed

Dolasteron

is_a

Anti-nausea drug

Complexity of domain knowledgeDiverse 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

GravityFurious 7

The Martian

new space movie

Paul walker’s last movie

fastest movie to earn $1 billion

Fall 2013 April 2014 Fall 2015

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

Linking implicit entitiesEntities 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

Initial resultsEntity 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.

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