21 citations · 28 across the 8 of their papers we have counts for
9 papers · 1 filter
We Need to Talk About Data: The Importance of Data Readiness in Natural Language Processing
Fredrik Olsson, Magnus Sahlgren
In this paper, we identify the state of data as being an important reason for failure in applied Natural Language Processing (NLP) projects. We argue that there is a gap between ac…
The Singleton Fallacy: Why Current Critiques of Language Models Miss the Point
Magnus Sahlgren, Fredrik Carlsson
This paper discusses the current critique against neural network-based Natural Language Understanding (NLU) solutions known as language models. We argue that much of the current de…
Why Not Simply Translate? A First Swedish Evaluation Benchmark for Semantic Similarity
Tim Isbister, Magnus Sahlgren
This paper presents the first Swedish evaluation benchmark for textual semantic similarity. The benchmark is compiled by simply running the English STS-B dataset through the Google…
Measuring Issue Ownership using Word Embeddings
Amaru Cuba Gyllensten, Magnus Sahlgren
Sentiment and topic analysis are common methods used for social media monitoring. Essentially, these methods answers questions such as, "what is being talked about, regarding X", a…
R-grams: Unsupervised Learning of Semantic Units in Natural Language
Ariel Ekgren, Amaru Cuba Gyllensten, Magnus Sahlgren
This paper investigates data-driven segmentation using Re-Pair or Byte Pair Encoding-techniques. In contrast to previous work which has primarily been focused on subword units for…
Monitoring Targeted Hate in Online Environments
Tim Isbister, Magnus Sahlgren, Lisa Kaati +2
Hateful comments, swearwords and sometimes even death threats are becoming a reality for many people today in online environments. This is especially true for journalists, politici…
Distributional Term Set Expansion
Amaru Cuba Gyllensten, Magnus Sahlgren
This paper is a short empirical study of the performance of centrality and classification based iterative term set expansion methods for distributional semantic models. Iterative t…
The Effects of Data Size and Frequency Range on Distributional Semantic Models
Magnus Sahlgren, Alessandro Lenci
This paper investigates the effects of data size and frequency range on distributional semantic models. We compare the performance of a number of representative models for several…
Navigating the Semantic Horizon using Relative Neighborhood Graphs
Amaru Cuba Gyllensten, Magnus Sahlgren
This paper is concerned with nearest neighbor search in distributional semantic models. A normal nearest neighbor search only returns a ranked list of neighbors, with no informatio…