Learning to Predict Novel Noun-Noun Compounds

Bidirectional recurrent neural networks

Mike Schuster and Kuldip K. Paliwal. 1997 · 1997

Earlier work this paper cites.

Foundations of Statistical Natural Language Processing

Christopher D. Manning and Hinrich Schütze. 1999 · 1999

Earlier work this paper cites.

Conditional random fields: Probabilistic models for segmenting and labeling sequence data

John D. Lafferty, Andrew McCallum, and Fernando C. N. Pereira. 2001 · 2001

Earlier work this paper cites.

Can we model conceptual combination using distributional information?

Dermot Lynott and Michael Ramscar. 2001 · 2001

Earlier work this paper cites.

The processing and representation of dutch and english compounds: peripheral morphological and central orthographic effects

Nivja H. De Jong, Laurie B. Feldman, Robert Schreuder, Matthew Pastizzo, and R. Harald Baayen. 2002 · 2002

Earlier work this paper cites.

Using the web to obtain frequencies for unseen bigrams

Frank Keller and Mirella Lapata. 2003 · 2003

Earlier work this paper cites.

Detecting novel compounds: The role of distributional evidence

Mirella Lapata and Alex Lascarides. 2003 · 2003

Earlier work this paper cites.

Extracting semantic representations from word co-occurrence statistics: A computational study

John A. Bullinaria and Joseph P. Levy. 2007 · 2007

Earlier work this paper cites.

A unified architecture for natural language processing: Deep neural networks with multitask learning

Ronan Collobert and Jason Weston. 2008 · 2008

Earlier work this paper cites.

Children’s acquisition of compound constructions

Ruth Berman. 2009 · 2009

Cited alongside, same era.

Quantitative analysis of culture using millions of digitized books

Jean-Baptiste Michel, Yuan Kui Shen, Aviva Presser Aiden, Adrian Veres, Matthew K. Gray, The Google Books Team, Joseph P. Pickett, Dale Holberg, Dan Clancy, Peter Norvig, Jon Orwant, Steven Pinker, Martin A. Nowak, and Erez Lieberman Aiden. 2010 · 2010

Cited alongside, same era.

Latent variable models of selectional preference

Diarmuid Ó Séaghdha. 2010 · 2010

Cited alongside, same era.

Collocations and statistical analysis of n-grams: Multiword expressions in newspaper text

Gunn Inger Lyse and Gisle Andersen. 2012 · 2012

Cited alongside, same era.

Noun–noun combination: Meaningfulness ratings and lexical statistics for 2,160 word pairs

William W. Graves, Jeffrey R. Binder, and Mark S. Seidenberg. 2013 · 2013

Cited alongside, same era.

A neural network approach to selectional preference acquisition

Understanding Karma Police: The Perceived Plausibility of Noun Compounds as Predicted by Distributional Models of Semantic Representation

Fritz Günther and Marco Marelli. 2016 · 2016

Later among the works it cites.

Diachronic word embeddings reveal statistical laws of semantic change

William L. Hamilton, Jure Leskovec, and Dan Jurafsky. 2016 · 2016

Later among the works it cites.

Non-linear similarity learning for compositionality

Masashi Tsubaki, Kevin Duh, Masashi Shimbo, and Yuji Matsumoto. 2016 · 2016

Later among the works it cites.

Compounds and Compounding

Laurie Bauer. 2017 · 2017

Later among the works it cites.

Hafez: an interactive poetry generation system

Marjan Ghazvininejad, Xing Shi, Jay Priyadarshi, and Kevin Knight. 2017 · 2017

Later among the works it cites.

Compounding as Abstract Operation in Semantic Space: Investigating relational effects through a large-scale, data-driven computational model