◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Matthew Francis-Landau

4 papers hereh-index 3197 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.DS1
  • cs.LG1
  • cs.PL1

identity via Semantic Scholar / OpenAlex

activity
20162020
most citedExact and/or Fast Nearest Neighbors

1 citations · 2 across the 2 of their papers we have counts for

collaborators

4 papers

cs.LG2020★ 1 cited

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

Matthew Francis-Landau

This paper introduces mFST, a new Python library for working with Finite-State Machines based on OpenFST. mFST is a thin wrapper for OpenFST and exposes all of OpenFST's methods fo…

cs.PL2020

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

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…

cs.DS2019★ 1 cited

Exact and/or Fast Nearest Neighbors

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…

cs.CL2016

Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks

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. We presen…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.