NLP

Authors: Sam Wiseman, Stuart M. Shieber, Alexander M. Rush

Authors: Sebastian Gehrmann, Yuntian Deng, Alexander M. Rush

Authors: Alexander R. Fabbri, Simeng Han, Haoyuan Li, Haoran Li, Marjan Ghazvininejad, Shafiq Joty, Dragomir Radev, Yashar Mehdad

Information Extraction v.s. Relation Extraction Information Extraction: Information extraction is the task of automatically extracting structured information from unstructured and/or semi-structured machine-readable documents and other electronically represented sources. Relation extraction (RE) is an important task in IE. It focuses on extracting relations between entities. A complete relation RE system consists of a named entity recognizer to identify named entities from text. an entity linker to link entities to existing knowledge graphs....

Authors: Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou

Cross-lingual learning Most languages do not have training data available to create state-of-the-art models and thus our ability to create intelligent systems for these languages is limited as well. Cross-lingual learning (CLL) is one possible remedy to solve the lack of data for low-resource languages. In essence, it is an effort to utilize annotated data from other languages when building new NLP models. When CLL is considered, target languages usually lack resources, while source languages are resource-rich and they can be used to improve the results for the former....