activity
19952020
most citedLearning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars

794 citations · 981 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2020★ 82 cited

Sparse, Dense, and Attentional Representations for Text Retrieval

Yi Luan, Jacob Eisenstein, Kristina Toutanova +1

Dual encoders perform retrieval by encoding documents and queries into dense lowdimensional vectors, scoring each document by its inner product with the query. We investigate the c…

cs.CL2019★ 2 cited

Low-Resource Syntactic Transfer with Unsupervised Source Reordering

Mohammad Sadegh Rasooli, Michael Collins

We describe a cross-lingual transfer method for dependency parsing that takes into account the problem of word order differences between source and target languages. Our model only…

cs.CL2016★ 2 cited

Cross-Lingual Syntactic Transfer with Limited Resources

Mohammad Sadegh Rasooli, Michael Collins

We describe a simple but effective method for cross-lingual syntactic transfer of dependency parsers, in the scenario where a large amount of translation data is not available. The…

cs.AI2012

Case-Factor Diagrams for Structured Probabilistic Modeling

David A. McAllester, Michael Collins, Fernando Pereira

We introduce a probabilistic formalism subsuming Markov random fields of bounded tree width and probabilistic context free grammars. Our models are based on a representation of Boo…

cs.CL2012★ 794 cited

Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars

Luke S. Zettlemoyer, Michael Collins

This paper addresses the problem of mapping natural language sentences to lambda-calculus encodings of their meaning. We describe a learning algorithm that takes as input a trainin…

cmp-lg1997★ 49 cited

Three Generative, Lexicalised Models for Statistical Parsing

Michael Collins

In this paper we first propose a new statistical parsing model, which is a generative model of lexicalised context-free grammar. We then extend the model to include a probabilistic…