Results 41 to 50 of about 138,816 (286)

Word Embeddings for Entity-annotated Texts

, 2020
Learned vector representations of words are useful tools for many information retrieval and natural language processing tasks due to their ability to capture lexical semantics.
A Das, A Spitz, CD Manning, D Nadeau, E Bruni, F Hill, F Hill, H Abdi, H Rubenstein, J Mitchell, J Strötgen, JG Moreno, L Maaten, P Bojanowski, P Goyal, S Deerwester   +15 more
core   +1 more source

Mapping the Cerebral Organoid Landscape: A Systematic Review of Preclinical 3D Models in Neuroscience

Advanced Healthcare Materials, EarlyView.
Cerebral organoids are transforming brain research, yet the field remains fragmented. This comprehensive systematic review maps 738 studies published between 2014 and 2024 to uncover trends, gaps, and opportunities across neuroscience. Introducing OrganoidMap—an interactive, open‐access platform to explore and compare models—this work enables ...
Anna Wolfram, Vanessa Arnold, Maik Wolfram‐Schauerte, Anastassiya Moskalchuk, Caroline Trust, Marie Vontz, Mona Scheurenbrand, Vijayasarathy Sampath‐Kumar, Sogand Ahari, Carlos Romero‐Nieto, Lisa Sevenich   +10 more
wiley   +1 more source

Semantic Relatedness for All (Languages): A Comparative Analysis of Multilingual Semantic Relatedness Using Machine Translation [PDF]

, 2016
This paper provides a comparative analysis of the performance of four state-of-the-art distributional semantic models (DSMs) over 11 languages, contrasting the native language-specific models with the use of machine translation over English-based DSMs.
Freitas, Andre, Barzegar, Siamak, Sales, Juliano Efson, Handschuh, Siegfried, Davis, Brian   +4 more
openaire   +2 more sources

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Query Expansion with Locally-Trained Word Embeddings

, 2016
Continuous space word embeddings have received a great deal of attention in the natural language processing and machine learning communities for their ability to model term similarity and other relationships.
Craswell, Nick, Diaz, Fernando, Mitra, Bhaskar   +2 more
core   +1 more source

Exploiting Language Relatedness in Machine Translation Through Domain Adaptation Techniques

, 2023
One of the significant challenges of Machine Translation (MT) is the scarcity of large amounts of data, mainly parallel sentence aligned corpora. If the evaluation is as rigorous as resource-rich languages, both Neural Machine Translation (NMT) and Statistical Machine Translation (SMT) can produce good results with such large amounts of data.
Kumar, Amit, Baruah, Rupjyoti, Pratap, Ajay, Swarnkar, Mayank, Singh, Anil Kumar   +4 more
openaire   +2 more sources

The role of Research‐Practice Ambassadors in strengthening socially just and equitable partnership processes

American Journal of Community Psychology, EarlyView.
Abstract Research‐Practice Partnerships seek to close the research‐practice gap through developing collaborative, authentic partnerships between researchers and community members. Our team has leveraged Research‐Practice Ambassadors to support socially just and equitable partnership processes in schools.
Danielle R. Hatchimonji, Lauren McNeela, Zumana Noor, Melissa Stoffers, Tia N. Barnes, Kira Branch, Danika Perry, Amanda Parks, Mariam Berthe   +8 more
wiley   +1 more source

Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks [PDF]

, 2015
Because of their superior ability to preserve sequence information over time, Long Short-Term Memory (LSTM) networks, a type of recurrent neural network with a more complex computational unit, have obtained strong results on a variety of sequence ...
Manning, Christopher D., Socher, Richard, Tai, Kai Sheng   +2 more
core   +1 more source

Implementation of Youth Empowerment Services (YES) juvenile justice diversion program: A first‐person account

American Journal of Community Psychology, EarlyView.
Abstract In Santa Barbara County, the Youth Empowerment Services (YES) Program brought together several government and community‐based organizations, as well as a university‐based evaluation team, to provide pre‐adjudication diversion to youth ages 12 to 17.
Angela Pollard, Jill D. Sharkey, Erin Cross, Karyn Milligan, Michelle Kerwood, Ruby Celio, Andrea Fernandez‐Contreras, Esteban Medina‐Galvan   +7 more
wiley   +1 more source

Enhanced Semantic Relatedness Prediction Using XLM‐RoBERTa and CNNs With K‐Fold Cross‐Validation

The Journal of Engineering
Accurately measuring the semantic relatedness between sentences is crucial for various natural language processing (NLP) tasks, including question answering, text summarization, and information retrieval.
Md. Ayon Mia, Fahim Shakil Tamim, Zaima Sartaj Taheri, Md. Alamin Talukder   +3 more
doaj   +1 more source