NLP Highlights
Ein Podcast von Allen Institute for Artificial Intelligence
145 Folgen
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64 - Neural Network Models for Sentence Pair Tasks, with Wuwei Lan and Wei Xu
Vom: 8.8.2018 -
63 - Neural Lattice Language Models, with Jacob Buckman
Vom: 2.8.2018 -
62 - Sounding Board: A User-Centric and Content-Driven Social Chatbot, with Hao Fang
Vom: 30.7.2018 -
61 - Neural Text Generation in Stories, with Elizabeth Clark and Yangfeng Ji
Vom: 23.7.2018 -
60 - FEVER: a large-scale dataset for Fact Extraction and VERification, with James Thorne
Vom: 28.6.2018 -
59 - Weakly Supervised Semantic Parsing With Abstract Examples, with Omer Goldman
Vom: 12.6.2018 -
58 - Learning What’s Easy: Fully Differentiable Neural Easy-First Taggers, with André Martins
Vom: 8.6.2018 -
57 - A Survey Of Cross-lingual Word Embedding Models, with Sebastian Ruder
Vom: 5.6.2018 -
56 - Deep contextualized word representations, with Matthew Peters
Vom: 4.4.2018 -
55 - Matchbox: Dispatch-driven autobatching for imperative deep learning, with James Bradbury
Vom: 28.3.2018 -
54 - Simulating Action Dynamics with Neural Process Networks, with Antoine Bosselut
Vom: 26.3.2018 -
53 - Classical Structured Prediction Losses for Sequence to Sequence Learning, with Sergey and Myle
Vom: 21.3.2018 -
52 - Sequence-to-Sequence Learning as Beam-Search Optimization, with Sam Wiseman
Vom: 15.3.2018 -
51 - A Regularized Framework for Sparse and Structured Neural Attention, with Vlad Niculae
Vom: 12.3.2018 -
50 - Cardinal Virtues: Extracting Relation Cardinalities from Text, with Paramita Mirza
Vom: 14.2.2018 -
49 - A Joint Sequential and Relational Model for Frame-Semantic Parsing, with Bishan Yang
Vom: 5.2.2018 -
48 - Incidental Supervision: Moving Beyond Supervised Learning, with Dan Roth
Vom: 29.1.2018 -
47 - Dynamic integration of background knowledge in neural NLU systems, with Dirk Weißenborn
Vom: 24.1.2018 -
46 - Parsing with Traces, with Jonathan Kummerfeld
Vom: 8.1.2018 -
45 - Build It, Break It workshop, with Allyson Ettinger and Sudha Rao
Vom: 2.1.2018
**The podcast is currently on hiatus. For more active NLP content, check out the Holistic Intelligence Podcast linked below.** Welcome to the NLP highlights podcast, where we invite researchers to talk about their work in various areas in natural language processing. All views expressed belong to the hosts/guests, and do not represent their employers.