LIN 389C: Topic list Fall 2017

Machine learning

Reporting score distributions makes a difference: performance study of LSTM-networks for sequence tagging : Nils Reimers and Iryna Gurevych

Recurrent neural network grammars. Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros and Noah A. Smith. Proc. NAACL.

Neural Symbolic Machines: Learning Semantic  Parsers on Freebase with Weak Supervision

Chen Liang, Jonathan Berant, Quoc Le, Kenneth D. Forbus, Ni Lao


Probabilistic programming languages

http://dippl.org/

Discourse processing

Document-level Sentiment Inference with Social, Faction, and Discourse Context
Eunsol Choi, Hannah Rashkin, Luke Zettlemoyer and Yejin Choi
Association for Computational Linguistics (ACL), 2016.

Words over time

Question answering and in-depth processing

Learning Structured Natural Language Representations for Semantic Parsing

J. Cheng, S. Reddy, V. Sarawat and M. Lapata

Dynamic Entity Representations in Neural Language Models, Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi and Noah A. Smith : tracking how entities evolve over a long document

Narrative Schemas, and Generalized Event Knowledge

Logical Metonymy in a Distributional Model of Sentence Comprehension, Emmanuele Chersoni, Alessandro Lenci, and Philippe Blache : using generalized event knowledge to analyze logical metonymy ("she began a book")

Learning about the world from data

Verb Physics: Relative Physical Knowledge of Actions and Objects
Maxwell Forbes and Yejin Choi
Association for Computational Linguistics (ACL), 2017.

Connotation Frames: A Data-Driven Investigation
Hannah Rashkin, Sameer Singh and Yejin Choi
Association for Computational Linguistics (ACL), 2016.

Learning Prototypical Event Structure from Photo Albums
Antoine Bosselut, Jianfu Chen, David Warren, Hannaneh Hajishirzi, and Yejin Choi
Association for Computational Linguistics (ACL), 2016.

Distributional models

Detecting Asymmetric Semantic Relations in Context: A Case-Study on Hypernymy Detection Yogarishi Vyas and Marine Carpuat: hypernymy in context

Other topics from recent conferences

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