Results 111 to 120 of about 21,648 (265)
, 2017 We present our submitted systems for Semantic Textual Similarity (STS) Track 4 at SemEval-2017. Given a pair of Spanish-English sentences, each system must estimate their semantic similarity by a score between 0 and 5.
Agnes, Frederic +3 more
core +1 more source
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 +3 more
wiley +1 more source
RPf-GCNs: reciprocal perspective driven fused GCNs for rumor detection on social media
Journal of Big DataThe earliest detection of rumors across social media is the need to the hour in present global village. User’s are seamlessly connected in an unstructured network leading to rapid flow of information.
Zafran Khan +4 more
doaj +1 more source
Multi-prompt Learning Based Aspect-Category Sentiment Analysis [PDF]
Jisuanji kexue yu tansuoAspect-category sentiment analysis (ACSA) aims to discern aspect categories in review texts and simultaneously predict their sentiment polarity. It is an important fine-grained subtask in the field of sentiment analysis.
LIU Jinhang, LI Lin, WU Renwei, LIU Jia
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 +2 more
core +1 more source
SemEval 2022 Task 10: Structured Sentiment Analysis
International Workshop on Semantic Evaluation, 2022 In this paper, we introduce the first SemEval shared task on Structured Sentiment Analysis, for which participants are required to predict all sentiment graphs in a text, where a single sentiment graph is composed of a sentiment holder, target ...
Jeremy Barnes +7 more
semanticscholar +1 more source
SemEval-2016 Task 12: Clinical TempEval [PDF]
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), 2016 Clinical TempEval 2016 evaluated temporal information extraction systems on the clinical domain. Nine sub-tasks were included, covering problems in time expression identification, event expression identification and temporal relation identification. Participant systems were trained and evaluated on a corpus of clinical and pathology notes from the Mayo
Steven Bethard +5 more
openaire +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 +2 more
wiley +1 more source
Query-Based Keyphrase Extraction from Long Documents
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Transformer-based architectures in natural language processing force input size limits that can be problematic when long documents need to be processed. This paper overcomes this issue for keyphrase extraction by chunking the long documents while keeping
Martin Dočekal, Pavel Smrž
doaj +1 more source
Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings
, 2017 We consider the problem of learning general-purpose, paraphrastic sentence embeddings, revisiting the setting of Wieting et al. (2016b). While they found LSTM recurrent networks to underperform word averaging, we present several developments that ...
Gimpel, Kevin, Wieting, John
core +1 more source