Results 51 to 60 of about 8,049,290 (285)

Joint inference for natural language processing [PDF]

Proceedings of the Thirteenth Conference on Computational Natural Language Learning - CoNLL '09, 2009
In recent decades, researchers in natural language processing have made great progress on well-defined subproblems such as part-of-speech tagging, phrase chunking, syntactic parsing, named-entity recognition, coreference and semantic-role labeling. Better models, features, and learning algorithms have allowed systems to perform many of these tasks with
openaire   +2 more sources

Towards the necessity for debiasing natural language inference datasets

, 2020
Modeling natural language inference is a challenging task. With large annotated data sets available it has now become feasible to train complex neural network based inference methods which achieve state of the art performance.
Panenghat, M.P., Suntwal, S., Rafique, F., Sharp, R., Surdeanu, M.   +4 more
core   +5 more sources

Inherent Disagreements in Human Textual Inferences

Transactions of the Association for Computational Linguistics, 2019
We analyze human’s disagreements about the validity of natural language inferences. We show that, very often, disagreements are not dismissible as annotation “noise”, but rather persist as we collect more ratings and as we vary the amount of context ...
Pavlick, Ellie, Kwiatkowski, Tom
doaj   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Evolution‐guided yeast complementation reveals functional differences in human PSPH variants

FEBS Open Bio, EarlyView.
Ancient genomes can help guide which human genetic variants are tested experimentally. This study applies that idea to PSPH, a gene involved in serine biosynthesis, and uses high‐throughput yeast complementation to compare variant function. The findings reveal measurable differences among selected alleles and illustrate the value of evolution‐guided ...
Mauricio Campa‐Álvarez, Diana Ascencio, Miguel Vallebueno‐Estrada, Eduardo González‐Orozco, Christian Eduardo Martínez‐Guerrero, Rafael Montiel, Alexander DeLuna   +6 more
wiley   +1 more source

From patient advocacy to patient‐driven research: Building active partnerships beginning at the bench to reach the bedside

FEBS Open Bio, EarlyView.
Research is strongest when conducted alongside patients, not just about them. Patient research organizations help integrate patient perspectives into research priorities, study design, and scientific meetings, leading to meaningful patient outcomes and development of relevant therapies.
Jenica H. Kakadia, Rachel Heilmann, Maximiliano Barrientos, Laura MacNeill, Ingrid Vallee, Sarah K. Schultz, Patrick O'Donoghue, Angelica A. Moresco, Victoria M. Siu, Ilka U. Heinemann   +9 more
wiley   +1 more source

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

Towards Portable Natural Language Interfaces to Knowledge Bases - The Case of the ORAKEL System - [PDF]

, 2008
Cimiano P, Haase P, Heizmann J, Mantel M, Studer R. Towards Portable Natural Language Interfaces to Knowledge Bases - The Case of the ORAKEL System -. Data & Knowledge Engineering (DKE).
Haase, Peter, Mantel, Matthias, Studer, Rudi, Heizmann, Jörg, Cimiano, Philipp ; https://orcid.org/   +4 more
core   +1 more source

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig, Nadav Amir, Maya Schiller, Roni Loebenstein, Johnatan Nissan, Marina Boxer, Shany Guly Gofrit, Gal Goshen, Sándor Beniczky, Nicola Maggio   +9 more
wiley   +1 more source

The Linguistic Feature Relation Analysis of Premise and Hypothesis for Interpreting Nature Language Inference

Human-Centric Intelligent Systems
Natural language inference (NLI) is a fundamental task of natural language processing (NLP). Most recent NLI research has focused on explaining the model’s decisions in generating causal explanations (i.e., why did a premise/hypothesis pair as input lead
Xinyu Chen, Lin Li, Mengjing Zhang, Rui Zhang   +3 more
doaj   +1 more source