Results 41 to 50 of about 141,588 (171)

From Regression to Reasoning: Predicting M&A Announcement Returns With Large Language Models

European Financial Management, EarlyView.
ABSTRACT This study investigates whether large language models (LLMs) can predict short‐term market reactions to M&A announcements. We prompt OpenAI's latest reasoning models (o3, GPT‐5, and GPT‐5.1) to forecast whether the combined market value of acquirer and target will increase or decrease, drawing on deal‐, firm‐, and macroeconomic data for large ...
Maximilian Schreiter, Aldrik Struve, Maximilian Uhle   +2 more
wiley   +1 more source

A unifying model for lookahead LR parsing

Computer Languages, 1991
A construction method is presented for lookahead LR passers that unifies many of the construction algorithms available in the literature. The model allows single, multiple, and arbitrary symbol lookahead, each only when required. Three user-supplied parameters are used by the construction method; specific settings of these parameters yield well-known ...
Computer and Information Sciences Department, University of Florida, Gainesville, FL 32611, U.S.A. ( host institution ), Bermudez, Manuel E   +1 more
openaire   +2 more sources

Does the Phillips Curve Lie Down as We Age?

Journal of Money, Credit and Banking, EarlyView.
Abstract Using microlevel data, we present evidence that older individuals are less willing to substitute across varieties of goods. We estimate the elasticity of substitution for different age groups and find that the youngest cohort (aged 25–34) exhibits a higher elasticity of substitution compared to the oldest group (65+).
CHADWICK CURTIS, JULIO GARÍN, ROBERT LESTER   +2 more
wiley   +1 more source

Combining dependency parsing with PP attachment [PDF]

, 2007
Prepositional phrase (PP) attachment is one of the major sources for errors in traditional statistical parsers. The reason for that lies in the type of information necessary for resolving structural ambiguities.
Klett, Eva, Kübler, Sandra, Ivanova, Steliana   +2 more
core  

Global Graph Surrogates and Neural Graph Elements for Computational Mechanics

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT Machine learning surrogates are increasingly used to accelerate physics‐based simulations by predicting full‐field responses at a fraction of the computational cost. In this contribution, we present two complementary graph‐based approaches for surrogate modelling in computational mechanics.
Rutwik Gulakala, Marcus Stoffel
wiley   +1 more source

Sentiment Analysis of Imbalanced Dataset Through Data Augmentation and Generative Annotation Using DistilBERT and Low‐Rank Fine‐Tuning

Applied AI Letters, Volume 7, Issue 3, October 2026.
The proposed model takes an imbalanced English dataset as input and balances it by Generating Synthetic Tweets (GST) using GPT‐based paraphrasing. These new tweets are then annotated with one of 10 categorical labels representing their primary meaning, using another large language model like GPT.
Hossein Nekouei, Mohammad Hossein Moattar   +1 more
wiley   +1 more source

(Generalized) LR parsing: From Knuth to Tomita [PDF]

, 1991
This paper is a short introduction to the research in LR parsing and its applications. It is concerned with the history of LR grammars and languages, LR parsing and parser optimization, generaliza­tions of the LR grammar definition and pars­ing method ...
Hemels, Rob, Nijholt, Anton, Nijholt, Antinus, Sikkel, Nicolaas   +3 more
core  

Deep Learning‐Based Quantification of Spontaneous Pain Behaviours in Mice

European Journal of Pain, Volume 30, Issue 9, October 2026.
ABSTRACT Background Accurate evaluation of pain‐related behaviours in rodent models is crucial for elucidating pain mechanisms and assessing the efficacy of novel analgesic compounds. Traditional nociceptive assays primarily measure evoked responses, which have limited translational relevance since spontaneous pain is the predominant symptom in pain ...
Michele Zanoletti, Elisa Bellantoni, Lídia Pombo Gomes, Maria Luiza Quadros dos Santos, Daniel Souza Monteiro de Araújo, Gaetano De Siena, Sabrina Qader Kudsi, Romina Nassini, Marco Laurino, Francesco De Logu   +9 more
wiley   +1 more source

Trace Data of Secondary Students and Linguistic Analysis to Predict Learner Performance in a Multi‐Text Writing Task

Journal of Computer Assisted Learning, Volume 42, Issue 5, October 2026.
ABSTRACT Background Writing from multiple sources is a cognitively demanding task that requires students to integrate reading, planning, and composition processes. While prior research has demonstrated the importance of self‐regulated learning (SRL) and linguistic features in predicting writing performance, most studies have focused on university ...
Halima Alnashiri, Mladen Raković, Sadia Nawaz, Xinyu Li, Gloria Fernandez‐Nieto, Keyang Qian, Joni Lämsä, Lyn Lim, Maria Bannert, Sanna Järvelä, Dragan Gašević   +10 more
wiley   +1 more source

The CoNLL 2007 shared task on dependency parsing [PDF]

, 2007
The Conference on Computational Natural Language Learning features a shared task, in which participants train and test their learning systems on the same data sets.
McDonald, Ryan, Kübler, Sandra, Hall, Johan, Nivre, Joakim, Riedel, Sebastian, Yuret, Deniz, Nilsson, Jens   +6 more
core