Understanding the semantic meaning of content on the web through the lens of entities and concepts has many practical advantages. 
However, when building large-scale entity extraction systems, practitioners are facing unique challenges involving finding the best ways to leverage the scale and variety of data available on internet platforms. 
We present learnings from our efforts in building an entity extraction system for multiple document types at large scale using multi-modal Transformers. 
We empirically demonstrate the effectiveness of multi-lingual, multi-task and cross-document type learning. 
We also discuss the label collection schemes that help to minimize the amount of noise in the collected data.

A Web Scale Entity Extraction System

Findings Papers - Information Extraction

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EMNLP 2021 is planned to be a hybrid event in Punta Cana, Dominican Republic, with both on-site and fully virtual participation possible. The experience for on-site participants would closely approximate a normal pre-COVID *ACL conference, with 5-6 thematically organized parallel sessions and live Q/A and interactive discussion immediately after the talks. Presentations by virtual participants will be equitably interleaved with those of on-site participants, projected on the auditorium screens as if on-site, and also followed immediately by live Q/A and interactive discussion at a time during reasonable waking hours for the virtual presenter. For all participants, on-site and virtual, who are unable to attend a session due to either time-zone issues or because they are participating in another session live, talk recordings and slides will be available online at a minimum after the live presentation (and in many cases before as well), and questions may be submitted in advance on session-specific discussion boards and answered live in session with the usual visual aids if desired.

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EMNLP 2021

EMNLP 2021 is planned to be a hybrid event in Punta Cana, Dominican Republic, with both on-site and fully virtual participation possible.

Daraksha Parveen

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A Web Scale Entity Extraction System

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