Entity and Relation Extraction from Chatlogs
Bachelor Thesis, Master Thesis
Dialogues accompany us on a daily basis in our lives; be it on social media like Facebook and Twitter, or instant messengers like WhatsApp. Recent advances in Deep Learning led to an increasing popularity of virtual assistants like Amazon’s Alexa or Apple’s Siri and the development of increasingly sophisticated chatbots. However, current systems only work well in very pre-defined settings. The need for large amounts of training data impaired with informal speech makes it difficult to train neural networks which generalize well to new domains. A key challenge is to recognize entities and to identify their relations across different dialog turns.
The goal of this thesis is to investigate several approaches for entity recognition in chatlogs as well as finding and identifying relevant links between different entities.