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TitleStatusHype
Better pos-tagging for ``que'' through targeted features and rules (Am\'eliorer l'\'etiquetage de ``que'' par les descripteurs cibl\'es et les r\`egles) [in French]—0
An Empirical Study on the Impact of Positional Encoding in Transformer-based Monaural Speech Enhancement—0
AI4D - African Language Dataset Challenge—0
BERTrade: Using Contextual Embeddings to Parse Old French—0
An Empirical Investigation of Error Types in Vietnamese Parsing—0
Bertinho: Galician BERT Representations—0
An Empirical Exploration of Skip Connections for Sequential Tagging—0
A High-Quality Web Corpus of Czech—0
A CRF Based POS Tagger for Code-mixed Indian Social Media Text—0
BERT 4EVER@EvaHan 2022: Ancient Chinese Word Segmentation and Part-of-Speech Tagging Based on Adversarial Learning and Continual Pre-training—0
An Empirical Exploration of Local Ordering Pre-training for Structured Prediction—0
Being neighbourly: Neural metaphor identification in discourse—0
BBPOS: BERT-based Part-of-Speech Tagging for Uzbek—0
An ELECTRA Model for Latin Token Tagging Tasks—0
A Hidden Markov Model Based System for Entity Extraction from Social Media English Text at FIRE 2015—0
Bayesian Learning for Neural Dependency Parsing—0
Linguistic Resources for Bhojpuri, Magahi and Maithili: Statistics about them, their Similarity Estimates, and Baselines for Three Applications—0
An efficient language independent toolkit for complete morphological disambiguation—0
Bangla Word Clustering Based on Tri-gram, 4-gram and 5-gram Language Model—0
An Effective Incorporating Heterogeneous Knowledge Curriculum Learning for Sequence Labeling—0
A Hardware-Efficient Hybrid Beamforming Solution for mmWave MIMO Systems—0
ACO-tagger: A Novel Method for Part-of-Speech Tagging using Ant Colony Optimization—0
Accurate Word Segmentation and POS Tagging for Japanese Microblogs: Corpus Annotation and Joint Modeling with Lexical Normalization—0
Who Taught You That? Tracing Teachers in Model Distillation—0
BabyLMs for isiXhosa: Data-Efficient Language Modelling in a Low-Resource Context—0
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