48 - Incidental Supervision: Moving Beyond Supervised Learning, with Dan Roth
AAAI 2017 paper, by Dan Roth. In this episode we have a conversation with Dan about what he means by "incidental supervision", and how it's related to ideas in reinforcement learning and representati...
29 Jan 201827min
47 - Dynamic integration of background knowledge in neural NLU systems, with Dirk Weißenborn
How should you incorporate background knowledge into a neural net? A lot of people have been thinking about this problem, and Dirk Weissenborn comes on to tell us about his work in this area. Paper i...
24 Jan 201835min
46 - Parsing with Traces, with Jonathan Kummerfeld
TACL 2017 paper by Jonathan K. Kummerfeld and Dan Klein. Jonathan tells us about his work on parsing algorithms that capture traces and null elements in sentence structure. We spend the first third ...
8 Jan 201839min
45 - Build It, Break It workshop, with Allyson Ettinger and Sudha Rao
How robust is your NLP system? High numbers on common datasets can be misleading, as most systems are easily fooled by small modifications that would not be hard for humans to understand. Allyson Ett...
2 Jan 201837min
44 - Truly Low Resource NLP, with Anders Søgaard
Anders talks with us about his line of work on doing NLP in languages where you have no linguistic resources other than a Bible translation or other religious works. He and his students have develope...
7 Des 201748min
43 - Reinforced Video Captioning with Entailment Rewards, with Ramakanth and Mohit
EMNLP 2017 paper by Ramakanth Pasunuru and Mohit Bansal Ram and Mohit join us to talk about their work, which uses reinforcement learning to improve performance on a video captioning task. They dire...
4 Des 201747min
42 - Generating Sentences by Editing Prototypes, with Kelvin Guu
Paper is by Kelvin Guu, Tatsunori B. Hashimoto, Yonatan Oren, and Percy Liang In this episode, Kelvin tells us how to build a language model that starts from a prototype sentence instead of starting ...
30 Nov 201738min
41 - Cross-Sentence N-ary Relation Extraction with Graph LSTMs, with Nanyun (Violet) Peng
TACL 2017 paper, by Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, and Wen-tau Yih. Most relation extraction work focuses on binary relations, like (Seattle, located in, Washington), bec...
10 Nov 201734min
