Results 71 to 80 of about 2,035,159 (351)
Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling [PDF]
Interspeech, 2016 Attention-based encoder-decoder neural network models have recently shown promising results in machine translation and speech recognition. In this work, we propose an attention-based neural network model for joint intent detection and slot filling, both ...
Bing Liu, Ian Lane
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Retinoblastoma (RB) is the most common pediatric ocular cancer, yet population‐based data on survival and risk factors remain limited. This study aimed to describe survival in a large national RB cohort and identify predictors of death and complications.
Samuel Sassine +14 more
wiley +1 more source
Communicating Intent of Automated Vehicles to Pedestrians
Frontiers in Psychology, 2018 While traffic signals, signs, and road markings provide explicit guidelines for those operating in and around the roadways, some decisions, such as determinations of “who will go first,” are made by implicit negotiations between road users.
Azra Habibovic +11 more
doaj +1 more source
The Measure of Public and Private Law (on Material of Ukrainian Legislation)
Teisė, 2022 The article is about the phenomenon of guilt as measure of the public and private law. The guilt originally expresses itself as based on the causality.
Oleksiy Stovba
doaj +1 more source
Moral anger, but not moral disgust, responds to intentionality [PDF]
, 2011 We propose that, when people judge moral situations, anger responds to the contextual cues of harm and intentionality. On the other hand, disgust responds uniquely to whether or not a bodily norm violation has occurred; its apparent response to harm and ...
Giner-Sorolla, Roger +1 more
core +2 more sources
Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022 Session-based recommendation (SBR) aims at the next-item prediction with a short behavior session. Existing solutions fail to address two main challenges: 1) user interests are shown as dynamically coupled intents, and 2) sessions always contain noisy ...
Yinfeng Li +4 more
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács +8 more
wiley +1 more source
The Effects of Intent, Outcome, and Causality on Moral Judgments and Decision Processes
Psychologica Belgica, 2022 Over the past decade, moral judgments and their underlying decision processes have more frequently been considered from a dynamic and multi-factorial perspective rather than a binary approach (e.g., dual-system processes).
Aurore Gaboriaud +3 more
doaj +1 more source
Adapting to the Shifting Intent of Search Queries [PDF]
, 2009 Search engines today present results that are often oblivious to abrupt shifts in intent. For example, the query `independence day' usually refers to a US holiday, but the intent of this query abruptly changed during the release of a major film by that ...
Mishra, Nina +2 more
core +2 more sources
Spoken Language Intent Detection using Confusion2Vec
, 2019 Decoding speaker's intent is a crucial part of spoken language understanding (SLU). The presence of noise or errors in the text transcriptions, in real life scenarios make the task more challenging.
Georgiou, Panayiotis +2 more
core +1 more source