Emiel van Miltenburg - Semantic Scholar

Publications
Influence

Marten Postma, Emiel van Miltenburg, Roxane Segers, Anneleen Schoen, Piek Vossen
2016

We describe Open Dutch WordNet, which has been derived from the Cornetto database, the Princeton WordNet and open source resources. We exploited existing equivalence relations between Cornetto… (More)

Sound-based distributional models

Alessandro Lopopolo, Emiel van Miltenburg
IWCS
2015

Following earlier work in multimodal distributional semantics, we present the first results of our efforts to build a perceptually grounded semantic model. Rather than using images, our models are… (More)

Detecting and ordering adjectival scalemates

This paper presents a pattern-based method that can be used to infer adjectival scales, such as 〈lukewarm,warm, hot〉, from a corpus. Specifically, the proposed method uses lexical patterns to… (More)

Scalar Diversity

Bob van Tiel, Emiel van Miltenburg, Natalia Zevakhina, Bart Geurts
J. Semantics
2016

We present experimental evidence showing that there is considerable variation between the rates at which scalar expressions from different lexical scales give rise to upper-bounded construals. We… (More)

Stereotyping and Bias in the Flickr30K Dataset

An untested assumption behind the crowdsourced descriptions of the images in the Flickr30K dataset (Young et al., 2014) is that they "focus only on the information that can be obtained from the image… (More)

Cross-linguistic differences and similarities in image descriptions

Emiel van Miltenburg, Desmond Elliott, Piek T. J. M. Vossen
INLG
2017

Automatic image description systems are commonly trained and evaluated on large image description datasets. Recently, researchers have started to collect such datasets for languages other than… (More)

Pragmatic Factors in Image Description: The Case of Negations

Emiel van Miltenburg, Roser Morante, Desmond Elliott
VL@ACL
2016

We provide a qualitative analysis of the descriptions containing negations (no, not, n't, nobody, etc) in the Flickr30K corpus, and a categorization of negation uses. Based on this analysis, we… (More)

Room for improvement in automatic image description: an error analysis

In recent years we have seen rapid and significant progress in automatic image description but what are the open problems in this area? Most work has been evaluated using text-based similarity… (More)

The VU Sound Corpus: Adding More Fine-grained Annotations to the Freesound Database

Emiel van Miltenburg, Benjamin Timmermans, Lora Aroyo
LREC
2016

This paper presents a collection of annotations (tags or keywords) for a set of 2,133 environmental sounds taken from the Freesound database (www.freesound.org). The annotations are acquired through… (More)

DIDEC: The Dutch Image Description and Eye-tracking Corpus

Emiel van Miltenburg, Ákos Kádár, Ruud Koolen, Emiel Krahmer
COLING
2018

We present a corpus of spoken Dutch image descriptions, paired with two sets of eye-tracking data: free viewing, where participants look at images without any particular purpose, and description… (More)