[Semantic Error] Extra New Chapter! I repeat, NEW CHAPTER!!
I’ve been left so dry after the abrupt ending of this story I cannot believe my longtime wish of side stories came true I may or may not be tearing up...
will still never get over this scene - semantic error
Gotta love an enemies to lovers bl kdrama and this full scene always gets me ...
Highly recommend reading [Semantic Error]
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More Semantic Error Side Stories?
Y’all I can’t express how this story has taken over my life. I am so fucking in love with them and the ending did NOT give us enough to feel fulfilled. Does anyone know the status on more side sto...
[Semantic Error] new side stories?
How come i missed this news?!?! my babies are coming back for side stories?????? i saw this new chapter pop up. I’m so pumped for this!!! I love seeing them domesticated ?...
Semantic Segmentation of Histopathological Slides for the Classification of Cutaneous Lymp…
Mycosis fungoides (MF) is a rare, potentially life threatening skin disease, which in early stages clinically and histologically strongly resembles Eczema, a very common and benign skin condition. In order to increase the survival rate, one needs to...
Variability Need Not Imply Error: The Case of Adequate but Semantically Distinct Responses
With the broader use of language models (LMs) comes the need to estimate their ability to respond reliably to prompts (e.g., are generated responses likely to be correct?). Uncertainty quantification tools (notions of confidence and entropy, i.a.) ca...
Large-Scale QA-SRL Parsing
We present a new large-scale corpus of Question-Answer driven Semantic Role Labeling (QA-SRL) annotations, and the first high-quality QA-SRL parser. Our corpus, QA-SRL Bank 2.0, consists of over 250,000 question-answer pairs for over 64,000 sentences...
Controlled Crowdsourcing for High-Quality QA-SRL Annotation
Question-answer driven Semantic Role Labeling (QA-SRL) was proposed as an attractive open and natural flavour of SRL, potentially attainable from laymen. Recently, a large-scale crowdsourced QA-SRL corpus and a trained parser were released. Trying to...
Transfer Learning across Several Centuries: Machine and Historian Integrated Method to Dec…
A named entity recognition and classification plays the first and foremost important role in capturing semantics in data and anchoring in translation as well as downstream study for history. However, NER in historical text has faced challenges such a...
Historian: Reducing Manual Validation in APR Benchmarking via Evidence-Based Assessment
Assessing the correctness of patches generated by Automated Program Repair (APR) is a major bottleneck. Manual validation is labor-intensive and limited: exact matching overlooks valid variants, while semantic inspection is subjective and hard to rep...
ESC-Rules: Explainable, Semantically Constrained Rule Sets
We describe a novel approach to explainable prediction of a continuous variable based on learning fuzzy weighted rules. Our model trains a set of weighted rules to maximise prediction accuracy and minimise an ontology-based 'semantic loss' function i...
Man'yōgana - Wikipedia
most words are represented phonetically (多太 tada, 安佐 asa), but the words ji (路), umi (海) and funekaji (船梶) are rendered semantically. In some cases, specific
What is the semantical difference between reliable and trustworthy?
Jan 4, 2015 · The two terms are similar and capable of being interchanged in many situations without losing much nuance, but "trustworthy" is more nuanced in the way of honesty, candidness, truth, and …
MTEB: Massive Text Embedding Benchmark
Text embeddings are commonly evaluated on a small set of datasets from a single task not covering their possible applications to other tasks. It is unclear whether state-of-the-art embeddings on semantic textual similarity (STS) can be equally well a...
A Concrete Representation of Observational Equivalence for PCF
The full abstraction result for PCF using game semantics requires one to identify all innocent strategies that are innocently indistinguishable. This involves a quantification over all innocent tests, cf. quantification over all innocent contexts....
AGO: Adaptive Grounding for Open World 3D Occupancy Prediction
Open-world 3D semantic occupancy prediction aims to generate a voxelized 3D representation from sensor inputs while recognizing both known and unknown objects. Transferring open-vocabulary knowledge from vision-language models (VLMs) offers a promisi...
DeVOS: Flow-Guided Deformable Transformer for Video Object Segmentation
The recent works on Video Object Segmentation achieved remarkable results by matching dense semantic and instance-level features between the current and previous frames for long-time propagation. Nevertheless, global feature matching ignores scene mo...
HCA-Net: Hierarchical Context Attention Network for Intervertebral Disc Semantic Labeling
Accurate and automated segmentation of intervertebral discs (IVDs) in medical images is crucial for assessing spine-related disorders, such as osteoporosis, vertebral fractures, or IVD herniation. We present HCA-Net, a novel contextual attention netw...
Sentence embedding - Wikipedia
sentence embedding is a representation of a sentence as a vector of numbers which encodes meaningful semantic information. State of the art embeddings are