James Fan


2020

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A Large Scale Speech Sentiment Corpus
Eric Chen | Zhiyun Lu | Hao Xu | Liangliang Cao | Yu Zhang | James Fan
Proceedings of the Twelfth Language Resources and Evaluation Conference

We present a multimodal corpus for sentiment analysis based on the existing Switchboard-1 Telephone Speech Corpus released by the Linguistic Data Consortium. This corpus extends the Switchboard-1 Telephone Speech Corpus by adding sentiment labels from 3 different human annotators for every transcript segment. Each sentiment label can be one of three options: positive, negative, and neutral. Annotators are recruited using Google Cloud’s data labeling service and the labeling task was conducted over the internet. The corpus contains a total of 49500 labeled speech segments covering 140 hours of audio. To the best of our knowledge, this is the largest multimodal Corpus for sentiment analysis that includes both speech and text features.

2014

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Medical Relation Extraction with Manifold Models
Chang Wang | James Fan
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

2012

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When Did that Happen? — Linking Events and Relations to Timestamps
Dirk Hovy | James Fan | Alfio Gliozzo | Siddharth Patwardhan | Christopher Welty
Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics

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Natural Language Processing in Watson
Alfio M. Gliozzo | Aditya Kalyanpur | James Fan
Tutorial Abstracts at the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

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Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction (AKBC-WEKEX)
James Fan | Raphael Hoffman | Aditya Kalyanpur | Sebastian Riedel | Fabian Suchanek | Partha Pratim Talukdar
Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction (AKBC-WEKEX)

2011

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Using Syntactic and Semantic Structural Kernels for Classifying Definition Questions in Jeopardy!
Alessandro Moschitti | Jennifer Chu-Carroll | Siddharth Patwardhan | James Fan | Giuseppe Riccardi
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing

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Relation Extraction with Relation Topics
Chang Wang | James Fan | Aditya Kalyanpur | David Gondek
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing

2010

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Large Scale Relation Detection
Chris Welty | James Fan | David Gondek | Andrew Schlaikjer
Proceedings of the NAACL HLT 2010 First International Workshop on Formalisms and Methodology for Learning by Reading

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PRISMATIC: Inducing Knowledge from a Large Scale Lexicalized Relation Resource
James Fan | David Ferrucci | David Gondek | Aditya Kalyanpur
Proceedings of the NAACL HLT 2010 First International Workshop on Formalisms and Methodology for Learning by Reading