Search Results for author: Craig Harman

Found 14 papers, 1 papers with code

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

2 code implementations EMNLP 2021 Mahsa Yarmohammadi, Shijie Wu, Marc Marone, Haoran Xu, Seth Ebner, Guanghui Qin, Yunmo Chen, Jialiang Guo, Craig Harman, Kenton Murray, Aaron Steven White, Mark Dredze, Benjamin Van Durme

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 language, typically English.

All Dependency Parsing +5

Low-Resource Contextual Topic Identification on Speech

no code implementations17 Jul 2018 Chunxi Liu, Matthew Wiesner, Shinji Watanabe, Craig Harman, Jan Trmal, Najim Dehak, Sanjeev Khudanpur

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 independently classified.

General Classification Topic Classification +1

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

no code implementations23 Feb 2018 Matthew Wiesner, Chunxi Liu, Lucas Ondel, Craig Harman, Vimal Manohar, Jan Trmal, Zhongqiang Huang, Najim Dehak, Sanjeev Khudanpur

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.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Topic Identification for Speech without ASR

no code implementations22 Mar 2017 Chunxi Liu, Jan Trmal, Matthew Wiesner, Craig Harman, Sanjeev Khudanpur

Modern topic identification (topic ID) systems for speech use automatic speech recognition (ASR) to produce speech transcripts, and perform supervised classification on such ASR outputs.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

Interactive Knowledge Base Population

no code implementations31 May 2015 Travis Wolfe, Mark Dredze, James Mayfield, Paul McNamee, Craig Harman, Tim Finin, Benjamin Van Durme

Most work on building knowledge bases has focused on collecting entities and facts from as large a collection of documents as possible.

Knowledge Base Population

Semantic Proto-Roles

no code implementations TACL 2015 Drew Reisinger, Rachel Rudinger, Francis Ferraro, Craig Harman, Kyle Rawlins, Benjamin Van Durme

We present the first large-scale, corpus based verification of Dowty{'}s seminal theory of proto-roles.

Semantic Role Labeling

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