Natural Language Processing

UNT Linguistics at SemEval-2020 Task 12: Linear SVC with Pre-trained Word Embeddings as Document Vectors and Targeted Linguistic Features SemEval 2020 UoB at SemEval-2020 Task 12: Boosting BERT with Corpus Level Information SemEval 2020 UoB at SemEval-2020 Task 1: Automatic Identification of Novel Word Senses SemEval 2020 UoS Participation in the WMT20 Translation of Biomedical Abstracts EMNLP 2020 UPB at FinCausal-2020, Tasks 1 & 2: Causality Analysis in Financial Documents using Pretrained Language Models COLING 2020 UPB at SemEval-2020 Task 12: Multilingual Offensive Language Detection on Social Media by Fine-tuning a Variety of BERT-based Models SemEval 2020 UPB at SemEval-2020 Task 6: Pretrained Language Models for Definition Extraction SemEval 2020 UPSTAGE: Unsupervised Context Augmentation for Utterance Classification in Patient-Provider Communication MLHC 2020 Uralic Language Identification (ULI) 2020 shared task dataset and the Wanca 2017 corpora COLING 2020 User Memory Reasoning for Conversational Recommendation COLING 2020 Using Alternate Representations of Text for Natural Language Understanding ACL 2020 Using BERT for Qualitative Content Analysis in Psychosocial Online Counseling EMNLP 2020 Using Bilingual Patents for Translation Training COLING 2020 Using Chinese Glyphs for Named Entity Recognition (Student Abstract) AAAI 2020 Using Conceptual Norms for Metaphor Detection ACL 2020 Using Context in Neural Machine Translation Training Objectives ACL 2020 Using Eye-tracking Data to Predict the Readability of Brazilian Portuguese Sentences in Single-task, Multi-task and Sequential Transfer Learning Approaches COLING 2020 Using Large Pretrained Language Models for Answering User Queries from Product Specifications ACL 2020 Using Multiple Subwords to Improve English-Esperanto Automated Literary Translation Quality AACL 2020 Using Pre-Trained Transformer for Better Lay Summarization EMNLP 2020 Using PRMSE to evaluate automated scoring systems in the presence of label noise ACL 2020 Using State of the Art Speaker Recognition and Natural Language Processing Technologies to Detect Alzheimer’s Disease and Assess its Severity Interspeech 2020 Using the Past Knowledge to Improve Sentiment Classification EMNLP 2020 Using the Poly-encoder for a COVID-19 Question Answering System EMNLP 2020 Using Transfer-based Language Models to Detect Hateful and Offensive Language Online EMNLP 2020