1 code implementation • NAACL 2019 • Ahmad Sakor, on, Isaiah o Mulang{'}, Kuldeep Singh, Saeedeh Shekarpour, Maria Esther Vidal, Jens Lehmann, S{\"o}ren Auer
Short texts challenge NLP tasks such as named entity recognition, disambiguation, linking and relation inference because they do not provide sufficient context or are partially malformed (e. g. wrt.
no code implementations • WS 2018 • Br Birmingham, on, Adrian Muscat, Anja Belz
Detection of spatial relations between objects in images is currently a popular subject in image description research.
no code implementations • WS 2018 • Br Prickett, on, Aaron Traylor, Joe Pater
Natural language reduplication can pose a challenge to neural models of language, and has been argued to require variables (Marcus et al., 1999).
no code implementations • EMNLP 2017 • Aaron Sarnat, Vidur Joshi, Cristian Petrescu-Prahova, Alvaro Herrasti, Br Stilson, on, Mark Hopkins
We provide a visualization library and web interface for interactively exploring a parse tree or a forest of parses.
no code implementations • WS 2017 • Br Birmingham, on, Adrian Muscat
On the other hand, images with two image objects were better described with template-generated sentences composed of object labels and prepositions.
no code implementations • LREC 2016 • SoHyun Park, Afsaneh Fazly, Annie Lee, Br Seibel, on, Wenjie Zi, Paul Cook
We then propose a supervised approach to classify out-of-vocabulary terms according to these categories, drawing on features based on word embeddings, and linguistic knowledge of common properties of out-of-vocabulary terms.