Entity-oriented Filtering of Large Streams TREC KBA 2013 John R. Frank Ian Soboroff Max Kleiman-Weiner Dan A. Roberts

Two Tasks in KBA 2013 CCR: Cumulative Citation Recommendation, same as 2012 with more entities. Find documents that mention the target entities and are worth citing in a KB like WP. SSF: Streaming Slot Filling, same target entities as CCR with a slot identified for each entity. Find the changes to the slot values for each hour in the corpus.

IR: User task centric Variation in interpretation Scores  cascading lists Constructionist, emergence NLP: Data parsing centric Universal annotation Scores  probabilities Reductionist TRECing the continental divide between NLP and IR

2012 Task: Filtering to Recommend Citations 1)Initialize with a target WP entity state of WP from Jan )Iterate over stream of text items Oct-Dec 2011: train on labels 3)For each, output confidence between 0, 1 Jan-Apr 2012: labels hidden Content Stream 462M texts, 40% English 4,973 hourly chunks of a 10 5 docs/hour News, blogs, forums, and link shortening Content Stream 462M texts, 40% English 4,973 hourly chunks of a 10 5 docs/hour News, blogs, forums, and link shortening Your KBA System Entities in Wikipedia or another Knowledge Base Automatically recommend new edits Diffeo Sponsors:

CCR rating is pre-hoc. Published: March 31, 2012 Impact of Thoughts on Water By Denis Gorce-Bourge Water covers 70% of our Blue planet and our body is made of about 70% water. Masaru Emoto is a Japanese Photographer and scientist. He is known over the world for his remarkable work on water and its deep connection with individual and collective consciousness. For decades, Masaru took pictures of frozen crystals of water and tested the direct influence of the environment on the quality of those crystals. Pollution has a direct impact on the beauty of a frozen crystal but as well words, music and thoughts. He tested the quality of water crystals by exposing it to various conditions: to written words like hate and violence and Love and gratitude. The results were just astonishing. The crystal exposed to Love and gratitude was beautiful and perfectly formed where the other one was severely degraded. He demonstrated as well the impact of Heavy Metal music versus Mozart or Beethoven and how the vibration of music impacts water. The very shape of water crystals is modified by violence, aggression, and negative words. Useful Vital Vital = Citation Worthy

BBC: “What would you say to forming The Beatles - The Next Generation” … James: “… I'd be up for it.” echo Confidence of sensitive versus insensitive systems SSF example: “FounderOf” slot on James McCartney

Examples of redundant texts that appear after the document that changed the slot. COREF, EQUIV, REL, NOV All of these are examples of detecting REDUNDANCY: Doc 1) Nothing may be sacred after all: Sir Paul McCartney's son James is interested in starting a second-generation Beatles band with John Lennon's son Sean, George Harrison's son Dhani and Ringo Starr's son Zak. Doc 2) UPDATE: James McCartney has clarified his comments on his Facebook page: Hi Everyone...well, looks like quite some attention being given to my BBC interview! Honestly, I was just thinking out loud about playing with Beatles family friends, nothing more. My band’s going to be on tour in the UK and US for most of this year, and the shows are going great! I'm so grateful…Lots of love to you all…! Doc 3) It is 42 years since the world’s most famous band broke up, following an acrimonious split between former best friends Paul McCartney and John Lennon. Now, however, Sir Paul’s only son James has revealed a new group featuring the offspring of the Fab Four could become a reality. James – who was last night due to follow in The Beatles’ footsteps by playing the Cavern Club in Liverpool …

KBX Cold Start queries focused on: nil entities related to target cluster and/or causality of event Pool top-K filtered docs, or use each KBA run as separate KBP input. (1000x filter) Must coordinate choice of KBA target entities with desired content of KBs for Cold Start queries. KBA Stream Corpus 2012 (or the new Stream Corpus 2013) 462M texts, 40% English 4,973 hourly chunks of a 10 5 docs/hour News, blogs, forums, and link shortening KBA Stream Corpus 2012 (or the new Stream Corpus 2013) 462M texts, 40% English 4,973 hourly chunks of a 10 5 docs/hour News, blogs, forums, and link shortening Output KB Clusters of related entities and/or event-type entities Clusters of related entities and/or event-type entities KBP KBA

Longer-Lived Phenomena Sudden Onset Phenomena Widely Known Event Notoriety Mid-to- Long-Tail small plane crash Iraq War Japan Earthquake (36hrs) TREC TempSum Life of James McCartney TREC KBA Duration Hurricane Sandy (months) TREC 2013 Filtering Tasks Financial Activities of Russian Oligarchs