Stephen Wu


2020

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Morphology-rich Alphasyllabary Embeddings
Amanuel Mersha | Stephen Wu
Proceedings of the 12th Language Resources and Evaluation Conference

Word embeddings have been successfully trained in many languages. However, both intrinsic and extrinsic metrics are variable across languages, especially for languages that depart significantly from English in morphology and orthography. This study focuses on building a word embedding model suitable for the Semitic language of Amharic (Ethiopia), which is both morphologically rich and written as an alphasyllabary (abugida) rather than an alphabet. We compare embeddings from tailored neural models, simple pre-processing steps, off-the-shelf baselines, and parallel tasks on a better-resourced Semitic language – Arabic. Experiments show our model’s performance on word analogy tasks, illustrating the divergent objectives of morphological vs. semantic analogies.

2016

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Staggered NLP-assisted refinement for Clinical Annotations of Chronic Disease Events
Stephen Wu | Chung-Il Wi | Sunghwan Sohn | Hongfang Liu | Young Juhn
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

Domain-specific annotations for NLP are often centered on real-world applications of text, and incorrect annotations may be particularly unacceptable. In medical text, the process of manual chart review (of a patient’s medical record) is error-prone due to its complexity. We propose a staggered NLP-assisted approach to the refinement of clinical annotations, an interactive process that allows initial human judgments to be verified or falsified by means of comparison with an improving NLP system. We show on our internal Asthma Timelines dataset that this approach improves the quality of the human-produced clinical annotations.

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On Developing Resources for Patient-level Information Retrieval
Stephen Wu | Tamara Timmons | Amy Yates | Meikun Wang | Steven Bedrick | William Hersh | Hongfang Liu
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

Privacy concerns have often served as an insurmountable barrier for the production of research and resources in clinical information retrieval (IR). We believe that both clinical IR research innovation and legitimate privacy concerns can be served by the creation of intra-institutional, fully protected resources. In this paper, we provide some principles and tools for IR resource-building in the unique problem setting of patient-level IR, following the tradition of the Cranfield paradigm.

2013

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Proceedings of the IWCS 2013 Workshop on Computational Semantics in Clinical Text (CSCT 2013)
Stephen Wu | Nigam Shah | Kevin Bretonnel Cohen
Proceedings of the IWCS 2013 Workshop on Computational Semantics in Clinical Text (CSCT 2013)

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Evaluating the Use of Empirically Constructed Lexical Resources for Named Entity Recognition
Siddhartha Jonnalagadda | Trevor Cohen | Stephen Wu | Hongfang Liu | Graciela Gonzalez
Proceedings of the IWCS 2013 Workshop on Computational Semantics in Clinical Text (CSCT 2013)

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Analysis of Cross-Institutional Medication Information Annotations in Clinical Notes
Sunghwan Sohn | Cheryl Clark | Scott Halgrim | Sean Murphy | Siddhartha Jonnalagadda | Kavishwar Wagholikar | Stephen Wu | Christopher Chute | Hongfang Liu
Proceedings of the IWCS 2013 Workshop on Computational Semantics in Clinical Text (CSCT 2013)

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MayoClinicNLPCORE: Semantic representations for textual similarity
Stephen Wu | Dongqing Zhu | Ben Carterette | Hongfang Liu
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity

2011

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Structured Composition of Semantic Vectors
Stephen Wu | William Schuler
Proceedings of the Ninth International Conference on Computational Semantics (IWCS 2011)

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Incremental Syntactic Language Models for Phrase-based Translation
Lane Schwartz | Chris Callison-Burch | William Schuler | Stephen Wu
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies

2010

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Complexity Metrics in an Incremental Right-Corner Parser
Stephen Wu | Asaf Bachrach | Carlos Cardenas | William Schuler
Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics

2009

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Articles: A Framework for Fast Incremental Interpretation during Speech Decoding
William Schuler | Stephen Wu | Lane Schwartz
Computational Linguistics, Volume 35, Number 3, September 2009