Amin Hosseiny Marani, PhD Candidate
ABOUT ME
I am a PhD Candidate at Computer Science department of Lehigh University and working at DAS lab under Professor Eric P.S. Baumer supervision. I also hold industry research experience of 10-month internship working at Dana-Farber Cancer Institute, and 3-month as PhD NLP researcher internship at Infinitus Systems.
I am interested in improving AI techniques to align more with human understanding, enhancing current machine learning assessment approaches, and exploring human-computer interactions. I am also interested in using NLP methods to improve human-computer interaction; I adopt NLP techniques to explore a corpus or to generate outputs to help human users save time and access large number of documents faster.
Bias as a Distinct Factor in Human Ratings of Machine Labeling
Human assessments of machine labeling can reveal bias as a distinct measure separate from other perceptions of quality.
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One Rating to Rule Them All?
human assessments of labeling quality have a two-factor latent structure. Subsequent analysis demonstrates that this multi-item, two-factor assessment can reveal nuances that would be missed using either a single-item human assessment of perceived label quality or established performance metrics.
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Text2table
Text2Table is a two part package for fast and reliable clinical named entities and relation extraction. First part, LinearNER, includes a very quick and easy to deploy approach to extract named entites. The second part, AINER, detect named entities and relation extraction between the extracted named entites using deep learning transformers.
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News
June 5, 2023: I will join Infinitus Systems as Phd NLP Researcher starting June 19 for 12-week internship
May 22, 2023: Our paper, An Interdisciplinary Approach to Understanding Cultures of Ethics in STEM, got accepted at BSTS.
July 20, 2022: Our paper, One rating to rule them all?, got accepted.
What I am doing in a nutshell
Human-Centered AI
I like to improve Human-AI interaction experience by providing further information to human users
Topic Modeling
I am using topic modeling to statistically analyze a corpus, explore documents, and assist qualitative coding to interpret main themes better. I am also interested in improving topic modeling evaluation and performance.
Deep Learning NLP
I enjoy Working with transformers and BiLSTM to improve NLP feature extraction and classification.