Seminaire: Alpage, Josef Ruppenhofer, 22 fevrier 2013

Thierry Hamon thierry.hamon at UNIV-PARIS13.FR
Sat Feb 16 20:31:40 UTC 2013

Date: Fri, 15 Feb 2013 17:45:14 +0100
From: Marie Candito <marie.candito at>
Message-ID: <CAKCM-9G56R+4sRc_dkpD4vurPP6XE66dW+T_Tbb-+bRf_9=97Q at>

****************** Séminaire de l'équipe Alpage ***********************

Il s'agit du séminaire de recherche en linguistique informatique
organisé par l'équipe Alpage, équipe mixte INRIA - Paris Diderot,
spécialisée en analyse syntaxique automatique et en traitement du

Le prochain séminaire se tiendra *:*

*vendredi 22 février de 11h à 12h30*

ATTENTION: changement de lieu :

La nouvelle adresse du séminaire est :

Bâtiment Olympe de Gouges
salle 163, 1er étage
rue Albert Einstein
75013 Paris

(dernier bâtiment de la rue Albert Einstein, numéro non attribué...)

Toute personne intéressée est la bienvenue.

Josef Ruppenhofer (University of Hildesheim)

Title : Emotion vocabulary and sentiment analysis in FrameNet

Abstract :

The FrameNet project (Baker, Fillmore & Lowe 1998) has been working for
a while now on an analysis of the English vocabulary based on frame
semantic theory (Fillmore 1982, 1985; Fillmore & Atkins 1992),
documenting and verifying its analyses by creating corpus
annotations. In this talk, I will give an overview of FrameNet's method
using the example of emotion-related words and then present recent ideas
for extending FrameNet's representation for the purposes of sentiment

In the discussion of emotion vocabulary, I will address several points.
First, comparing different releases, we ask how have FrameNet's criteria
for distinguishing frames evolved over time? For instance, the
organization of emotion frames in the current FrameNet release 1.5 is
less exclusively valence-driven than in earlier versions. The overall
trajectory is towards an organization where frame divisions are becoming
finer and lexical units in a given frame are more semantically similar
to each other.
A second key point is that even given the more fine-grained analysis,
FrameNet's division of frames and lexical units does not follow any one
psychological theory of emotion. However, as will be shown, it is
closest in spirit to the work of Ortony, Clore & Collins (1988) whose
work is linguistically inspired and whose categories are often
compatible with work underway at FrameNet.

In the final part of the talk I suggest ways to extend FrameNet's
representation for the purposes of sentiment analysis, producing a
resource that allows for deep analysis of not only emotional vocabulary
but evaluative and subjective language in general. A key feature of this
approach is to piggy-back the extraction of opinion holders and targets
onto automatic semantic role labeling systems.

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