Results 71 to 80 of about 16,304 (224)

SemEval-2010 task 10 [PDF]

Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions - DEW '09, 2009
In this paper, we describe the SemEval-2010 shared task on "Linking Events and Their Participants in Discourse". This task is a variant of the classical semantic role labelling task. The novel aspect is that we focus on linking local semantic argument structures across sentence boundaries.
Ruppenhofer, J., Sporleder, C., Morante, Roser, Baker, C., Palmer, M.   +4 more
openaire   +2 more sources

Stock Portfolio Management Based on AI Technology

Journal of Forecasting, Volume 45, Issue 2, Page 458-469, March 2026.
ABSTRACT Forecasting stock performance is crucial for formulating a profitable trading approach aimed at achieving significant gains. In addition, prediction results serve as essential prerequisites for creating and optimizing active investment portfolios.
Alejandro Moreno Alonso, Joaquín Ordieres‐Meré   +1 more
wiley   +1 more source

SemEval-2007 Task 01: Evaluating WSD on Cross-Language Information Retrieval [PDF]

Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07, 2007
This paper presents a first attempt of an application-driven evaluation exercise of WSD. We used a CLIR testbed from the Cross Lingual Evaluation Forum. The expansion, indexing and retrieval strategies where fixed by the organizers. The participants had to return both the topics and documents tagged with WordNet 1.6 word senses.
Agirre, E., Lopez de Lacalle, O., Magnini, B., Otegi, A., Rigau, G., Vossen, P.T.J.M.   +5 more
openaire   +3 more sources

Mitigating the Negative Transfer in Multi‐Task Learning for Harmful Language Detection in Spanish and Arabic

Expert Systems, Volume 43, Issue 2, February 2026.
ABSTRACT Negative transfer continues to limit the benefits of multi‐task learning (MTL) in harmful language detection, where related tasks must share representations without diluting task‐specific nuances. We introduce task awareness (TA), a methodological framework that explicitly conditions MTL models on the task they must solve.
Angel Felipe Magnossão de Paula, Imene Bensalem, Damiano Spina, Paolo Rosso   +3 more
wiley   +1 more source

HDR‐SA: A Hybrid Deep Learning and RoBERTa‐Based Framework for Sentiment and Aspect Analysis

IET Software, Volume 2026, Issue 1, 2026.
The ability to comprehend complex viewpoints in text is critical for sentiment analysis (SA), particularly at the aspect level, yet existing models struggle with accurately identifying sentiment polarities and aspect‐specific expressions due to their reliance on large, manually annotated, domain‐specific datasets.
Laxmi Pamulaparthy, C. H. Sumalakshmi, Nadeem Sarwar   +2 more
wiley   +1 more source

Multi-task transfer learning for the prediction of entity modifiers in clinical text: application to opioid use disorder case detection

Journal of Biomedical Semantics
Background The semantics of entities extracted from a clinical text can be dramatically altered by modifiers, including entity negation, uncertainty, conditionality, severity, and subject.
Abdullateef I. Almudaifer, Whitney Covington, JaMor Hairston, Zachary Deitch, Ankit Anand, Caleb M. Carroll, Estera Crisan, William Bradford, Lauren A. Walter, Ellen F. Eaton, Sue S. Feldman, John D. Osborne   +11 more
doaj   +1 more source

ADeCNN: An Improved Model for Aspect-Level Sentiment Analysis Based on Deformable CNN and Attention

IEEE Access, 2020
Aspect-level sentiment analysis aims at identifying the sentiment polarity of target in the context. In most of the previous sentiment analysis models, there usually exists the problem of insufficient extraction capability of local features and long ...
Jie Zhou, Siqi Jin, Xinli Huang
doaj   +1 more source

A New Sentiment-Enhanced Word Embedding Method for Sentiment Analysis

Applied Sciences, 2022
Since some sentiment words have similar syntactic and semantic features in the corpus, existing pre-trained word embeddings always perform poorly in sentiment analysis tasks.
Qizhi Li, Xianyong Li, Yajun Du, Yongquan Fan, Xiaoliang Chen   +4 more
doaj   +1 more source

Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment Datasets

, 2017
There has been a good amount of progress in sentiment analysis over the past 10 years, including the proposal of new methods and the creation of benchmark datasets.
Barnes, Jeremy, Klinger, Roman, Walde, Sabine Schulte im   +2 more
core   +1 more source

SemEval-2013 Task 5: Evaluating Phrasal Semantics [PDF]

, 2013
This paper describes the SemEval-2013 Task 5: “Evaluating Phrasal Semantics”. Its first subtask is about computing the semantic similarity of words and compositional phrases of minimal length. The second one addresses deciding the compositionality of phrases in a given context.
Korkontzelos, I, Zesch, T, ZANZOTTO, FABIO MASSIMO, Biemann, C.   +3 more
openaire   +3 more sources