Job Description
Research and development of cutting-edge NLP techniques, include but not limited to the following directions.
1. Fundamental NLP techniques, particularly for low-resource setting, e.g. NER, chunking, POS tagging, dependency parsing, error corrections, machine translation, etc. 2. Natural Language Understanding, e.g., sentiment analysis, textual entailment, emotion cause identification, stance classification, product review mining, question answering, etc.
3. Natural Language Generation, e.g., debate text generation, question generation, product description generation, knowledge to text generation, text style editing, etc.
4. Knowledge Acquisition and Application, e.g., knowledge extraction, knowledge integration, applying knowledge into different NLP tasks, etc. Here the knowledge refers to any form that encodes human cognition.
Job requirements
1. Master or PhD degree from related areas, and 3+ years working experience in NLP, Deep Learning, etc.
2. Experience in research and developments of related NLP topics, such as fundamental NLP, natural language understanding and inference, natural language generation, etc.
3. Good publication records in top tier conferences, such as ACL, EMNLP, NAACL, AAAI, IJCAI, SIGIR, KDD, WWW, NIPS, etc.
4. Good programming skills in Python, C++, or Java, and familiar with shell script. Familiar with deep learning models and major deep learning programming frameworks.
5. Rich industry experiences of related NLP works will be a plus.
6. Self-driven, innovative, collaborative, good communication and presentation skills.
