| Using a Small Lexicon with CRFs Confidence Measure to Improve POS Tagging Accuracy | May 1, 2016 | 8kPOS | —Unverified | 0 | 0 |
| Using Collocations and K-means Clustering to Improve the N-pos Model for Japanese IME | Dec 1, 2012 | ClusteringLanguage Modelling | —Unverified | 0 | 0 |
| Using Deep Mixture-of-Experts to Detect Word Meaning Shift for TempoWiC | Nov 7, 2022 | Data AugmentationMixture-of-Experts | —Unverified | 0 | 0 |
| Using Gaze Data to Predict Multiword Expressions | Sep 1, 2017 | Part-Of-Speech TaggingPOS | —Unverified | 0 | 0 |
| Using Semantics for Granularities of Tokenization | Sep 1, 2018 | Boundary DetectionInformation Retrieval | —Unverified | 0 | 0 |
| Using Stem-Templates to Improve Arabic POS and Gender/Number Tagging | May 1, 2014 | Part-Of-Speech TaggingPOS | —Unverified | 0 | 0 |
| USzeged: Identifying Verbal Multiword Expressions with POS Tagging and Parsing Techniques | Apr 1, 2017 | Dependency ParsingPOS | —Unverified | 0 | 0 |
| UWB at SemEval-2018 Task 1: Emotion Intensity Detection in Tweets | Jun 1, 2018 | ClassificationGeneral Classification | —Unverified | 0 | 0 |
| UWB at SemEval-2018 Task 3: Irony detection in English tweets | Jun 1, 2018 | POSSentiment Analysis | —Unverified | 0 | 0 |
| UWM: Disorder Mention Extraction from Clinical Text Using CRFs and Normalization Using Learned Edit Distance Patterns | Aug 1, 2014 | POSSentence | —Unverified | 0 | 0 |