December 15, 2020 machine translation, NATURAL LANGUAGE INFERENCE, NATURAL LANGUAGE UNDERSTANDING, Neural MT, NMT, PERSIAN SENTIMENT ANALYSIS, QUESTION ANSWERING, READING COMPREHENSION

ParsiNLU: A Suite of Language Understanding Challenges for Persian

Task:* ———Machine TranslationQuestion AnsweringPersian Sentiment AnalysisNatural Language UnderstandingNatural Language InferenceReading Comprehension

November 4, 2020 Advanced, Deep Learning, NLP, Python, Technique, Text, Unstructured Data Leave a comment

Introduction to Computational Linguistics and Dependency Trees in data science

Introduction In recent years, the amalgam of deep learning fundamentals with Natural Language Processing techniques has shown a great improvement in the information mining tasks on unstructured text data. The models are now able to recognize natural language and speech comparable to human levels. Despite such improvements, discrepancies in the results still exist as sometimes the information is coded very deep in the syntaxes and syntactic structures of the corpus. Example – Problem with Neural Networks For example, a conversation […]

September 20, 2020 Machine Learning, QUESTION ANSWERING Leave a comment

ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling

ISCAS participated in two subtasks of SemEval 2020 Task 5: detecting counterfactual statements and detecting antecedent and consequence. This paper describes our system which is based on pre-trained transformers… For the first subtask, we train several transformer-based classifiers for detecting counterfactual statements. For the second subtask, we formulate antecedent and consequence extraction as a query-based question answering problem. The two subsystems both achieved third place in the evaluation. Our system is openly released at https://github.com/casnlu/ISCAS-SemEval2020Task5. (read more) PDF Abstract Visit […]