Results 91 to 100 of about 52,458 (341)
Natural Language Based Inference Procedures Applied to Schubert's Steamroller
, 1991 We have previously argued that the syntactic structure of natural language can be exploited to construct powerful polynomial time inference procedures.
Sameer Shalaby +5 more
core
Natural Language Inference (NLI) via LLMs.
Natural Language Inference (NLI) is a fundamental task in Natural Language Processing that aims to determine whether a hypothesis can be inferred from a given premise.
Pérez Terán, Nicolás
core +1 more source
Natural language directed inference from ontologies
, 2008 This paper presents an investigation into the problem of content determination in natural language generation (NLG), using as an example the problem of determining what to say when asked “What is an A?”, where A is a concept defined in an OWL ontology ...
Jeff Z. Pan +3 more
core +1 more source
Advanced Materials Technologies, EarlyView.Hierarchical multi‐material TPMS lattices are engineered as flexible tactile sensors by combining soft and stiff elastomeric layers with a conformal conductive coating. The bilayer architecture delivers sensitivity at low pressures while maintaining a broad detectable range under large loads, enabling reliable pressure and vibration monitoring for ...
Reza Noroozi +3 more
wiley +1 more source
Statistical inferences for polarity identification in natural language
PLOS ONE, 2018 Information forms the basis for all human behavior, including the ubiquitous decision-making that people constantly perform in their every day lives. It is thus the mission of researchers to understand how humans process information to reach decisions.
Nicolas Pröllochs +2 more
openaire +7 more sources
Analyzing natural language inference from a rigorous point of view [PDF]
, 2020 Felipe Salvatore
openalex +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
Advanced Robotics Research, EarlyView.This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
Large Language Models meet moral values: A comprehensive assessment of moral abilities
Computers in Human Behavior ReportsAutomatic moral classification in textual data is crucial for various fields including Natural Language Processing (NLP), social sciences, and ethical AI development.
Luana Bulla +3 more
doaj +1 more source
Information Transmission Strategies for Self‐Organized Robotic Aggregation
Advanced Robotics Research, EarlyView.In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
Evaluating BERT for natural language inference: A case study on the CommitmentBank
, 2019 Natural language inference (NLI) datasets (e.g., MultiNLI) were collected by soliciting hypotheses for a given premise from annotators. Such data collection led to annotation artifacts: systems can identify the premise-hypothesis relationship without ...
Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing +2 more
core +1 more source