Here’s the reading list for the Distributional Semantics Meeting (Nov 2016 – Feb 2017):
- Learning to Understand Phrases by Embedding the Dictionary. Felix Hill, KyungHyun Cho, Anna Korhonen, Yoshua Bengio
- Word Embeddings as Metric Recovery in Semantic Spaces. Tatsunori B. Hashimoto, David Alvarez-Melis, Tommi S. Jaakkola
- Sparse Non-negative Matrix Language Modeling. Joris Pelemans, Noam Shazeer, Ciprian Chelba
- From Visual Attributes to Adjectives through Decompositional Distributional Semantics. Angeliki Lazaridou, Georgiana Dinu, Adam Liska, Marco Baroni
- Improving Distributional Similarity with Lessons Learned from Word Embeddings. Omer Levy, Yoav Goldberg, Ido Dagan
- Deriving Boolean Structures from Distributional Vectors. German Kruszewski, Denis Paperno, Marco Baroni
Notes:
- Future weekly meetings will take place every week from 11-12:00 at room 150 Informatics East.
- We will dedicate two weeks to each TACL paper: First session for overall discussion about the quality of the work, whether you liked the topic, what parts interested you most, resolving problems understanding the general argumentation and experiments. Second session for more detailed discussions on the resources, sharing your experience if you ever used a similar method, if you noticed a flaw or had difficulty understanding the technical details of an experiment or mathematical proves, how other research (perhaps yours) can benefit from the work, and finally deciding what to read next.