32 citations · 36 across the 8 of their papers we have counts for
12 papers
Introducing Information Retrieval for Biomedical Informatics Students
Sanya B. Taneja, Richard D. Boyce, William T. Reynolds +1
Introducing biomedical informatics (BMI) students to natural language processing (NLP) requires balancing technical depth with practical know-how to address application-focused nee…
Translational NLP: A New Paradigm and General Principles for Natural Language Processing Research
Denis Newman-Griffis, Jill Fain Lehman, Carolyn Rosé +1
Natural language processing (NLP) research combines the study of universal principles, through basic science, with applied science targeting specific use cases and settings. Howeve…
TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corpora
Denis Newman-Griffis, Venkatesh Sivaraman, Adam Perer +2
Embeddings of words and concepts capture syntactic and semantic regularities of language; however, they have seen limited use as tools to study characteristics of different corpora…
Improving Broad-Coverage Medical Entity Linking with Semantic Type Prediction and Large-Scale Datasets
Shikhar Vashishth, Denis Newman-Griffis, Rishabh Joshi +2
Medical entity linking is the task of identifying and standardizing medical concepts referred to in an unstructured text. Most of the existing methods adopt a three-step approach o…
Writing habits and telltale neighbors: analyzing clinical concept usage patterns with sublanguage embeddings
Denis Newman-Griffis, Eric Fosler-Lussier
Natural language processing techniques are being applied to increasingly diverse types of electronic health records, and can benefit from in-depth understanding of the distinguishi…
HARE: a Flexible Highlighting Annotator for Ranking and Exploration
Denis Newman-Griffis, Eric Fosler-Lussier
Exploration and analysis of potential data sources is a significant challenge in the application of NLP techniques to novel information domains. We describe HARE, a system for high…
Classifying the reported ability in clinical mobility descriptions
Denis Newman-Griffis, Ayah Zirikly, Guy Divita +1
Assessing how individuals perform different activities is key information for modeling health states of individuals and populations. Descriptions of activity performance in clinica…
Characterizing the impact of geometric properties of word embeddings on task performance
Brendan Whitaker, Denis Newman-Griffis, Aparajita Haldar +2
Analysis of word embedding properties to inform their use in downstream NLP tasks has largely been studied by assessing nearest neighbors. However, geometric properties of the cont…
Jointly Embedding Entities and Text with Distant Supervision
Denis Newman-Griffis, Albert M. Lai, Eric Fosler-Lussier
Learning representations for knowledge base entities and concepts is becoming increasingly important for NLP applications. However, recent entity embedding methods have relied on s…
Embedding Transfer for Low-Resource Medical Named Entity Recognition: A Case Study on Patient Mobility
Denis Newman-Griffis, Ayah Zirikly
Functioning is gaining recognition as an important indicator of global health, but remains under-studied in medical natural language processing research. We present the first analy…
Insights into Analogy Completion from the Biomedical Domain
Denis Newman-Griffis, Albert M Lai, Eric Fosler-Lussier
Analogy completion has been a popular task in recent years for evaluating the semantic properties of word embeddings, but the standard methodology makes a number of assumptions abo…
Second-Order Word Embeddings from Nearest Neighbor Topological Features
Denis Newman-Griffis, Eric Fosler-Lussier
We introduce second-order vector representations of words, induced from nearest neighborhood topological features in pre-trained contextual word embeddings. We then analyze the eff…