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POS

Papers

Showing 726750 of 1146 papers

TitleStatusHype
Character-level Supervision for Low-resource POS Tagging0
Joint Part-of-Speech and Language ID Tagging for Code-Switched Data0
A Twitter Corpus for Hindi-English Code Mixed POS Tagging0
Language Identification and Named Entity Recognition in Hinglish Code Mixed Tweets0
Character-Level Feature Extraction with Densely Connected Networks0
Design Challenges and Misconceptions in Neural Sequence LabelingCode0
Part-of-Speech Tagging on an Endangered Language: a Parallel Griko-Italian ResourceCode0
Neural Metaphor Detecting with CNN-LSTM Model0
Di-LSTM Contrast : A Deep Neural Network for Metaphor Detection0
UWB at SemEval-2018 Task 3: Irony detection in English tweets0
TeamDL at SemEval-2018 Task 8: Cybersecurity Text Analysis using Convolutional Neural Network and Conditional Random Fields0
THU\_NGN at SemEval-2018 Task 2: Residual CNN-LSTM Network with Attention for English Emoji Prediction0
IIT Delhi at SemEval-2018 Task 1 : Emotion Intensity Prediction0
DM\_NLP at SemEval-2018 Task 8: neural sequence labeling with linguistic features0
attr2vec: Jointly Learning Word and Contextual Attribute Embeddings with Factorization Machines0
Unsupervised Induction of Linguistic Categories with Records of Reading, Speaking, and Writing0
UWB at SemEval-2018 Task 1: Emotion Intensity Detection in Tweets0
Evaluation of automatic collocation extraction methods for language learning0
Learning sentence embeddings using Recursive NetworksCode0
Neural Factor Graph Models for Cross-lingual Morphological Tagging0
\'Etiquetage en parties du discours de langues peu dot\'ees par sp\'ecialisation des plongements lexicaux (POS tagging for low-resource languages by adapting word embeddings )0
Analyse morpho-syntaxique en pr\'esence d'alternance codique (PoS tagging of Code Switching)0
Graph Based Semi-Supervised Learning Approach for Tamil POS tagging0
Multi-Dialect Arabic POS Tagging: A CRF Approach0
Toward a Lightweight Solution for Less-resourced Languages: Creating a POS Tagger for Alsatian Using Voluntary Crowdsourcing0
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