Jeff Mitchell

Publications
Influence

Composition in Distributional Models of Semantics

Jeff Mitchell, Mirella Lapata
Mathematics, Computer Science
Cogn. Sci.
1 November 2010

Vector-based models of word meaning have become increasingly popular in cognitive science. Expand

Vector-based Models of Semantic Composition

Jeff Mitchell, Mirella Lapata
Computer Science
ACL
1 June 2008

This paper proposes a framework for representing the meaning of phrases and sentences in vector space. Expand

Language Models Based on Semantic Composition

Jeff Mitchell, Mirella Lapata
Computer Science
EMNLP
6 August 2009

We propose a novel statistical language model to capture long-range semantic dependencies. Expand

UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF)

Takuma Yoneda, Jeff Mitchell, Johannes Welbl, Pontus Stenetorp, S. Riedel
Computer Science
2018

In this paper we describe our 2 place FEVER shared-task system that achieved a FEVER score of 62.52% on the provisional test set (without additional human evaluation), and 65.41% onthe development set. Expand

Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness

V. Carmona, Jeff Mitchell, S. Riedel
Computer Science
NAACL-HLT
11 May 2018

We identify three factors - insensitivity, polarity and unseen pairs - and compare their impact on three SNLI models under a variety of conditions. Expand

Syntactic and Semantic Factors in Processing Difficulty: An Integrated Measure

Jeff Mitchell, Mirella Lapata, V. Demberg, Frank Keller
Computer Science
ACL
11 July 2010

In this paper we analyze reading times in terms of a single predictive measure which integrates a model of semantic composition with an incremental parser and a language model. Expand

Automated Fact Checking in the News Room

Sebastião Miranda, David Nogueira, +5 authors Zita Marinho
Computer Science
WWW
3 April 2019

We present an automated fact checking platform which given a claim, it retrieves relevant textual evidence from a document collection, predicts whether each piece of evidence supports or refutes the claim, and returns a final verdict. Expand

The SUMMA Platform Prototype

Renars Liepins, Ulrich Germann, +43 authors Jeff Mitchell
Computer Science
EACL
7 April 2017

We present the first prototype of the SUMMA Platform: an integrated platform for multilingual media monitoring. Expand

Parser Adaptation to the Biomedical Domain without Re-Training

Jeff Mitchell, Mark Steedman
Computer Science
Louhi@EMNLP
1 September 2015

We present a distributional approach to the problem of inducing parameters for unseen words in probabilistic parsers using the information about syntactic structure that is implicit in raw text. Expand

Extrapolation in NLP

Jeff Mitchell, Pasquale Minervini, Pontus Stenetorp, S. Riedel
Computer Science
ArXiv
17 May 2018

We argue that extrapolation to examples outside the training space will often be easier for models that capture global structures, rather than just maximise their local fit to the training data. Expand

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