activity
20152021
most citedInteractive Knowledge Base Population

4 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2021

Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction

Mahsa Yarmohammadi, Shijie Wu, Marc Marone +10

Zero-shot cross-lingual information extraction (IE) describes the construction of an IE model for some target language, given existing annotations exclusively in some other languag…

cs.CL2021

LOME: Large Ontology Multilingual Extraction

Patrick Xia, Guanghui Qin, Siddharth Vashishtha +7

We present LOME, a system for performing multilingual information extraction. Given a text document as input, our core system identifies spans of textual entity and event mentions…

cs.CL2018

Low-Resource Contextual Topic Identification on Speech

Chunxi Liu, Matthew Wiesner, Shinji Watanabe +4

In topic identification (topic ID) on real-world unstructured audio, an audio instance of variable topic shifts is first broken into sequential segments, and each segment is indepe…

cs.CL2018

Automatic Speech Recognition and Topic Identification for Almost-Zero-Resource Languages

Matthew Wiesner, Chunxi Liu, Lucas Ondel +6

Automatic speech recognition (ASR) systems often need to be developed for extremely low-resource languages to serve end-uses such as audio content categorization and search. While…

cs.AI20154 cited

Interactive Knowledge Base Population

Travis Wolfe, Mark Dredze, James Mayfield +4

Most work on building knowledge bases has focused on collecting entities and facts from as large a collection of documents as possible. We argue for and describe a new paradigm whe…