Neural natural language processing for unstructured data in electronic health records: a review

I Li, J Pan, J Goldwasser, N Verma, WP Wong… - Computer Science …, 2022 - Elsevier
Electronic health records (EHRs), digital collections of patient healthcare events and
observations, are ubiquitous in medicine and critical to healthcare delivery, operations, and …

A Principled Decomposition of Pointwise Mutual Information for Intention Template Discovery

D Ma, K Chen-Chuan Chang, Y Chen, X Lv… - Proceedings of the 32nd …, 2023 - dl.acm.org
With the rise of Artificial Intelligence (AI), question answering systems have become
common for users to interact with computers, eg, ChatGPT and Siri. These systems require a …

[PDF][PDF] Extract domain-specific paraphrase from monolingual corpus for automatic evaluation of machine translation

L Zhang, Z Weng, W **ao, J Wan, Z Chen… - Proceedings of the …, 2016 - aclanthology.org
Paraphrase can help match synonyms or match phrases with the same or similar meaning,
thus it plays an important role in automatic evaluation of machine translation. The traditional …

Generating training data for semantic role labeling based on label transfer from linked lexical resources

S Hartmann, J Eckle-Kohler, I Gurevych - Transactions of the …, 2016 - direct.mit.edu
We present a new approach for generating role-labeled training data using Linked Lexical
Resources, ie, integrated lexical resources that combine several resources (eg, Word-Net …

[PDF][PDF] Vector-space models for PPDB paraphrase ranking in context

M Apidianaki - Proceedings of the 2016 Conference on Empirical …, 2016 - aclanthology.org
The PPDB is an automatically built database which contains millions of paraphrases in
different languages. Paraphrases in this resource are associated with features that serve to …

Designing NLP-based solutions for requirements variability management: experiences from a design science study at Visma

P Elahidoost, M Unterkalmsteiner, D Fucci… - … Working Conference on …, 2024 - Springer
Context and motivation: In this industry-academia collaborative project, a team of
researchers, supported by a software architect, business analyst, and test engineer explored …

Essentia: mining domain-specific paraphrases with word-alignment graphs

D Ma, C Chen, B Golshan, WC Tan - arxiv preprint arxiv:1910.00637, 2019 - arxiv.org
Paraphrases are important linguistic resources for a wide variety of NLP applications. Many
techniques for automatic paraphrase mining from general corpora have been proposed …

[PDF][PDF] Knowledge-based Supervision for Domain-adaptive Semantic Role Labeling

S Hartmann - 2017 - core.ac.uk
Semantic role labeling (SRL) is a method for the semantic analysis of texts that adds a level
of semantic abstraction on top of syntactic analysis, for instance adding semantic role labels …