Results 31 to 40 of about 3,192,470 (291)

Reevaluating Adversarial Examples in Natural Language

open access: yes, 2020
State-of-the-art attacks on NLP models lack a shared definition of a what constitutes a successful attack. We distill ideas from past work into a unified framework: a successful natural language adversarial example is a perturbation that fools the model ...
Ji, Yangfeng   +4 more
core   +1 more source

Słowa kluczowe, tagi…, i co dalej?

open access: yesStudia z Filologii Polskiej i Słowiańskiej, 2014
Keywords, tags... and what else? Keywords and their latest versions, called tags, are the object of this paper. Those expressions are treated as elements of the lexical systems of respective languages: the keyword language and the tag language.
Wiesław Babik
doaj   +1 more source

Robust Processing of Natural Language

open access: yes, 1995
Previous approaches to robustness in natural language processing usually treat deviant input by relaxing grammatical constraints whenever a successful analysis cannot be provided by ``normal'' means. This schema implies, that error detection always comes
Menzel, Wolfgang
core   +4 more sources

Adjunctive Therapeutic Plasma Exchange in Refractory Adult‐Onset Still's Disease Complicated by Secondary Macrophage Activation Syndrome: A Single‐Center Experience

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Adult‐onset Still's disease (AOSD) complicated by macrophage activation syndrome (MAS) carries substantial mortality. The role of therapeutic plasma exchange (TPE) remains uncertain. Methods We retrospectively analyzed patients with AOSD‐MAS treated with TPE at a single‐center.
Masataka Ueda   +15 more
wiley   +1 more source

A Natural Language-Based Automatic Identification System Trajectory Query Approach Using Large Language Models

open access: yesISPRS International Journal of Geo-Information
The trajectory data collected by an Automatic Identification System (AIS) are an essential resource for various ships, and effective filtering and querying approaches are fundamental for managing these data.
Xuan Guo   +5 more
doaj   +1 more source

Development of a Voice Virtual Assistant for the Geospatial Data Visualization Application on the Web

open access: yesISPRS International Journal of Geo-Information, 2023
Voice assistants can elevate interaction in geospatial data web platforms. This research introduces a voice assistant in the BStreams platform and focuses on understanding user commands in the geospatial domain.
Homeyra Mahmoudi   +2 more
doaj   +1 more source

Time after time – circadian clocks through the lens of oscillator theory

open access: yesFEBS Letters, EarlyView.
Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo   +2 more
wiley   +1 more source

Improving negative rejection ability in language models: A review of fine-tuned LLMs, RAG, and RAFT

open access: yesJournal of King Saud University: Computer and Information Sciences
Large Language Models (LLMs) excel in text understanding and generation but struggle to reject irrelevant, ambiguous, or misleading queries, termed negative rejection, impacting reliability in high-stakes contexts.
Li Bowen   +4 more
doaj   +1 more source

Validity of the laws of Non-contradiction and Excluded middle; Logical or Psychological (Review of misunderstandings and misinterpretations, self-made accusations and types of fallacies in a criticism) [PDF]

open access: yesحکمت معاصر
In Classical Logic, the law of non-contradiction and the law of excluded middle are considered theorems and have proof. Recently, Morteza Hajihosseini has written a book titled Two Non-Classical Logic Systems, A New Outlook on Elements of Logic (2017 ...
Morteza Hajihosseini   +1 more
doaj   +1 more source

e-SNLI: Natural Language Inference with Natural Language Explanations

open access: yes, 2018
In order for machine learning to garner widespread public adoption, models must be able to provide interpretable and robust explanations for their decisions, as well as learn from human-provided explanations at train time. In this work, we extend the Stanford Natural Language Inference dataset with an additional layer of human-annotated natural ...
Camburu, O   +3 more
openaire   +3 more sources

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