Search Results for author: Matthew Francis-Landau

Found 4 papers, 4 papers with code

Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks

1 code implementation NAACL 2016 Matthew Francis-Landau, Greg Durrett, Dan Klein

A key challenge in entity linking is making effective use of contextual information to disambiguate mentions that might refer to different entities in different contexts.

Entity Linking Semantic correspondence +2

Exact and/or Fast Nearest Neighbors

1 code implementation6 Oct 2019 Matthew Francis-Landau, Benjamin Van Durme

Prior methods for retrieval of nearest neighbors in high dimensions are fast and approximate--providing probabilistic guarantees of returning the correct answer--or slow and exact performing an exhaustive search.

Data Structures and Algorithms

Evaluation of Logic Programs with Built-Ins and Aggregation: A Calculus for Bag Relations

1 code implementation20 Oct 2020 Matthew Francis-Landau, Tim Vieira, Jason Eisner

We present a scheme for translating logic programs, which may use aggregation and arithmetic, into algebraic expressions that denote bag relations over ground terms of the Herbrand universe.

Programming Languages Symbolic Computation

MFST: A Python OpenFST Wrapper With Support for Custom Semirings and Jupyter Notebooks

1 code implementation7 Dec 2020 Matthew Francis-Landau

This paper introduces mFST, a new Python library for working with Finite-State Machines based on OpenFST.

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