We present a cross-domain approach for automated measurement and context...
Demographic factors (e.g., gender or age) shape our language. Previous w...
In this paper, we provide an overview of the SV-Ident shared task as par...
Nowadays there is a growing trend in many scientific disciplines to supp...
Sociodemographic factors (e.g., gender or age) shape our language. Previ...
While pretrained language models (PLMs) primarily serve as general purpo...
The number of scientific publications nowadays is rapidly increasing, ca...
This paper introduces our proposed system for the MIA Shared Task on
Cro...
Research on (multi-domain) task-oriented dialog (TOD) has predominantly
...
Although much work in NLP has focused on measuring and mitigating
stereo...
Although there is a long tradition of work in NLP on extracting entities...
In this work we present a systematic empirical study focused on the
suit...
Recent work has shown that self-supervised dialog-specific pretraining o...
We analyze bias in historical corpora as encoded in diachronic distribut...
Taxonomies are an important ingredient of knowledge organization, and se...
Recent research efforts in NLP have demonstrated that distributional wor...
Fake news articles often stir the readers' attention by means of emotion...
Pretrained multilingual text encoders based on neural Transformer
archit...
Recent work has shown that distributional word vector spaces often encod...
Disambiguation of word senses in context is easy for humans, but is a ma...
We present an approach to detect fake news in Twitter at the account lev...
Distributional word vectors have recently been shown to encode many of t...
We present experiments on detecting hyperpartisanship in news using a
'm...
We present our system for semantic frame induction that showed the best
...
We investigate the problem of understanding the message (gist) conveyed ...
During the last fifteen years, text scaling approaches have become a cen...
The progressive digitization of historical archives provides new, often
...
Nowadays, where multimedia data is continuously generated, stored, and
d...
In this paper, we show how unsupervised sense representations can be use...
We present Watset, a new meta-algorithm for fuzzy graph clustering. This...
We use dependency triples automatically extracted from a Web-scale corpu...
We propose a fully unsupervised framework for ad-hoc cross-lingual
infor...
In this paper, we present Watasense, an unsupervised system for word sen...
We introduce a new lexical resource that enriches the Framester knowledg...
Recognizing semantically similar sentences or paragraphs across language...
We present an approach to combining distributional semantic representati...
We present DepCC, the largest to date linguistically analyzed corpus in
...
Interpretability of a predictive model is a powerful feature that gains ...