Papers
3,922 papers found
Classification of mental illnesses on social media using RoBERTa
Ankit Murarka, Balaji Radhakrishnan, Sushma Ravichandran
CLiMP: A Benchmark for Chinese Language Model Evaluation
Beilei Xiang, Changbing Yang, Yu Li et al.
Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration
Betty van Aken, Jens-Michalis Papaioannou, Manuel Mayrdorfer et al.
Cluster Analysis of Online Mental Health Discourse using Topic-Infused Deep Contextualized Representations
Atharva Kulkarni, Amey Hengle, Pradnya Kulkarni et al.
Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa - A Large Romanian Sentiment Data Set
Anca Maria Tache, Mihaela Găman, Radu Tudor Ionescu
COCO-EX: A Tool for Linking Concepts from Texts to ConceptNet
Maria Becker, Katharina Korfhage, Anette Frank
Co-evolution of language and agents in referential games
Gautier Dagan, Dieuwke Hupkes, Elia Bruni
Cognition-aware Cognate Detection
Diptesh Kanojia, Prashant Sharma, Sayali Ghodekar et al.
Coloring the Black Box: What Synesthesia Tells Us about Character Embeddings
Katharina Kann, Mauro M. Monsalve-Mercado
Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment Identification
Amey Hengle, Atharva Kshirsagar, Shaily Desai et al.
Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification
Yi Zhu, Ehsan Shareghi, Yingzhen Li et al.
Communicative-Function-Based Sentence Classification for Construction of an Academic Formulaic Expression Database
Kenichi Iwatsuki, Akiko Aizawa
Comparing Approaches to Dravidian Language Identification
Tommi Jauhiainen, Tharindu Ranasinghe, Marcos Zampieri
Comparing Similarity of Words Based on Psychosemantic Experiment and RuWordNet
Valery Solovyev, Natalia Loukachevitch
Complementary Evidence Identification in Open-Domain Question Answering
Xiangyang Mou, Mo Yu, Shiyu Chang et al.
Complex Question Answering on knowledge graphs using machine translation and multi-task learning
Saurabh Srivastava, Mayur Patidar, Sudip Chowdhury et al.
Computationally Efficient Wasserstein Loss for Structured Labels
Ayato Toyokuni, Sho Yokoi, Hisashi Kashima et al.
Conceptual Grounding Constraints for Truly Robust Biomedical Name Representations
Pieter Fivez, Simon Suster, Walter Daelemans
Conditional Adversarial Networks for Multi-Domain Text Classification
Yuan Wu, Diana Inkpen, Ahmed El-Roby
Content-based Models of Quotation
Ansel MacLaughlin, David Smith
Context-aware Neural Machine Translation with Mini-batch Embedding
Makoto Morishita, Jun Suzuki, Tomoharu Iwata et al.