research
∙
04/28/2023
Made of Steel? Learning Plausible Materials for Components in the Vehicle Repair Domain
We propose a novel approach to learn domain-specific plausible materials...
share
research
∙
05/23/2022
What Drives the Use of Metaphorical Language? Negative Insights from Abstractness, Affect, Discourse Coherence and Contextualized Word Representations
Given a specific discourse, which discourse properties trigger the use o...
research
∙
05/18/2022
Features of Perceived Metaphoricity on the Discourse Level: Abstractness and Emotionality
Research on metaphorical language has shown ties between abstractness an...
research
∙
06/06/2021
Lexical Semantic Change Discovery
While there is a large amount of research in the field of Lexical Semant...
research
∙
05/31/2021
More than just Frequency? Demasking Unsupervised Hypernymy Prediction Methods
This paper presents a comparison of unsupervised methods of hypernymy pr...
research
∙
03/12/2021
Explaining and Improving BERT Performance on Lexical Semantic Change Detection
Type- and token-based embedding architectures are still competing in lex...
research
∙
11/14/2020
CL-IMS @ DIACR-Ita: Volente o Nolente: BERT does not outperform SGNS on Semantic Change Detection
We present the results of our participation in the DIACR-Ita shared task...
research
∙
11/06/2020
OP-IMS @ DIACR-Ita: Back to the Roots: SGNS+OP+CD still rocks Semantic Change Detection
We present the results of our participation in the DIACR-Ita shared task...
research
∙
08/07/2020
IMS at SemEval-2020 Task 1: How low can you go? Dimensionality in Lexical Semantic Change Detection
We present the results of our system for SemEval-2020 Task 1 that exploi...
research
∙
01/09/2020
Simulating Lexical Semantic Change from Sense-Annotated Data
We present a novel procedure to simulate lexical semantic change from sy...
research
∙
09/01/2019
You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP
Information about individuals can help to better understand what they sa...
research
∙
06/07/2019
A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains
We perform an interdisciplinary large-scale evaluation for detecting lex...
research
∙
06/06/2019
Second-order Co-occurrence Sensitivity of Skip-Gram with Negative Sampling
We simulate first- and second-order context overlap and show that Skip-G...
research
∙
06/12/2018
Projecting Embeddings for Domain Adaptation: Joint Modeling of Sentiment Analysis in Diverse Domains
Domain adaptation for sentiment analysis is challenging due to the fact ...
research
∙
06/12/2018
Projecting Embeddings for Domain Adaption: Joint Modeling of Sentiment Analysis in Diverse Domains
Domain adaptation for sentiment analysis is challenging due to the fact ...
research
∙
05/23/2018
Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages
Sentiment analysis in low-resource languages suffers from a lack of anno...
research
∙
04/18/2018
Diachronic Usage Relatedness (DURel): A Framework for the Annotation of Lexical Semantic Change
We propose a framework that extends synchronic polysemy annotation to di...
research
∙
04/15/2018
Introducing two Vietnamese Datasets for Evaluating Semantic Models of (Dis-)Similarity and Relatedness
We present two novel datasets for the low-resource language Vietnamese t...
research
∙
04/14/2018
Distribution-based Prediction of the Degree of Grammaticalization for German Prepositions
We test the hypothesis that the degree of grammaticalization of German p...
research
∙
09/13/2017
Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment Datasets
There has been a good amount of progress in sentiment analysis over the ...
research
∙
07/23/2017
Hierarchical Embeddings for Hypernymy Detection and Directionality
We present a novel neural model HyperVec to learn hierarchical embedding...
research
∙
06/15/2017
German in Flux: Detecting Metaphoric Change via Word Entropy
This paper explores the information-theoretic measure entropy to detect ...
research
∙
01/11/2017
Distinguishing Antonyms and Synonyms in a Pattern-based Neural Network
Distinguishing between antonyms and synonyms is a key task to achieve hi...
research
∙
10/06/2016
Neural-based Noise Filtering from Word Embeddings
Word embeddings have been demonstrated to benefit NLP tasks impressively...
research
∙
05/25/2016