Zobrazeno 1 - 10
of 4 304
pro vyhledávání: '"A, Gómez Rodríguez"'
Various linearizations have been proposed to cast syntactic dependency parsing as sequence labeling. However, these approaches do not support more complex graph-based representations, such as semantic dependencies or enhanced universal dependencies,
Externí odkaz:
http://arxiv.org/abs/2410.17972
Autor:
Chatzi, Ivi, Benz, Nina Corvelo, Straitouri, Eleni, Tsirtsis, Stratis, Gomez-Rodriguez, Manuel
"Sure, I am happy to generate a story for you: Captain Lyra stood at the helm of her trusty ship, the Maelstrom's Fury, gazing out at the endless sea. [...] Lyra's eyes welled up with tears as she realized the bitter truth - she had sacrificed everyt
Externí odkaz:
http://arxiv.org/abs/2409.17027
Autor:
Zamaraeva, Olga, Allegue, Lorena S., Gómez-Rodríguez, Carlos, Ogneva, Anastasiia, Alonso-Ramos, Margarita
Automatic grammar coaching serves an important purpose of advising on standard grammar varieties while not imposing social pressures or reinforcing established social roles. Such systems already exist but most of them are for English and few of them
Externí odkaz:
http://arxiv.org/abs/2406.18340
Sentiment analysis is a key technology for companies and institutions to gauge public opinion on products, services or events. However, for large-scale sentiment analysis to be accessible to entities with modest computational resources, it needs to b
Externí odkaz:
http://arxiv.org/abs/2406.16071
Publikováno v:
XX Conferencia de la Asociaci\'on Espa\~nola para la Inteligencia Artificial (CAEPIA 2024), pages 225-226. ISBN 978-84-09-62724-0
This is a summary of the paper "A Confederacy of Models: a Comprehensive Evaluation of LLMs on Creative Writing", which was published in Findings of EMNLP 2023. We evaluate a range of recent state-of-the-art, instruction-tuned large language models (
Externí odkaz:
http://arxiv.org/abs/2406.15891
Sentiment Analysis (SA) is a crucial aspect of Natural Language Processing (NLP), addressing subjective assessments in textual content. Syntactic parsing is useful in SA because explicit syntactic information can improve accuracy while providing expl
Externí odkaz:
http://arxiv.org/abs/2406.15163
Autor:
De Toni, Giovanni, Okati, Nastaran, Thejaswi, Suhas, Straitouri, Eleni, Gomez-Rodriguez, Manuel
Decision support systems based on prediction sets have proven to be effective at helping human experts solve classification tasks. Rather than providing single-label predictions, these systems provide sets of label predictions constructed using confo
Externí odkaz:
http://arxiv.org/abs/2405.17544
Resettlement agencies have started to adopt data-driven algorithmic matching to match refugees to locations using employment rate as a measure of utility. Given a pool of refugees, data-driven algorithmic matching utilizes a classifier to predict the
Externí odkaz:
http://arxiv.org/abs/2407.13052
TripAdvisor reviews and comparable data sources play an important role in many tasks in Natural Language Processing (NLP), providing a data basis for the identification and classification of subjective judgments, such as hotel or restaurant reviews,
Externí odkaz:
http://arxiv.org/abs/2405.12055
We study incremental constituent parsers to assess their capacity to output trees based on prefix representations alone. Guided by strictly left-to-right generative language models and tree-decoding modules, we build parsers that adhere to a strong d
Externí odkaz:
http://arxiv.org/abs/2402.02782