Search Results for author: Jussi Karlgren

Found 20 papers, 1 papers with code

Challenging the Assumption of Structure-based embeddings in Few- and Zero-shot Knowledge Graph Completion

1 code implementation LREC 2022 Filip Cornell, Chenda Zhang, Jussi Karlgren, Sarunas Girdzijauskas

In this paper, we report experiments on Few- and Zero-shot Knowledge Graph completion, where the objective is to add missing relational links between entities into an existing Knowledge Graph with few or no previous examples of the relation in question.

Descriptive Knowledge Graph Completion +1

Are We Wasting Time? A Fast, Accurate Performance Evaluation Framework for Knowledge Graph Link Predictors

no code implementations25 Jan 2024 Filip Cornell, Yifei Jin, Jussi Karlgren, Sarunas Girdzijauskas

First, we empirically find and theoretically motivate why sampling uniformly at random vastly overestimates the ranking performance of a method.

Unsupervised Speaker Diarization that is Agnostic to Language, Overlap-Aware, and Tuning Free

no code implementations25 Jul 2022 M. Iftekhar Tanveer, Diego Casabuena, Jussi Karlgren, Rosie Jones

Podcasts are conversational in nature and speaker changes are frequent -- requiring speaker diarization for content understanding.

speaker-diarization Speaker Diarization

The Contribution of Lyrics and Acoustics to Collaborative Understanding of Mood

no code implementations31 May 2022 Shahrzad Naseri, Sravana Reddy, Joana Correia, Jussi Karlgren, Rosie Jones

We find that a pretrained transformer-based language model in a zero-shot setting -- i. e., out of the box with no further training on our data -- is powerful for capturing song-mood associations.

Language Modelling

Textual Stylistic Variation: Choices, Genres and Individuals

no code implementations1 May 2022 Jussi Karlgren

This chapter argues for more informed target metrics for the statistical processing of stylistic variation in text collections.

Information Retrieval Retrieval

Podcast Metadata and Content: Episode Relevance andAttractiveness in Ad Hoc Search

no code implementations25 Aug 2021 Ben Carterette, Rosie Jones, Gareth F. Jones, Maria Eskevich, Sravana Reddy, Ann Clifton, Yongze Yu, Jussi Karlgren, Ian Soboroff

We describe a set of diverse podcast information needs and different approaches to assessing retrieved content for relevance.

Current Challenges and Future Directions in Podcast Information Access

no code implementations17 Jun 2021 Rosie Jones, Hamed Zamani, Markus Schedl, Ching-Wei Chen, Sravana Reddy, Ann Clifton, Jussi Karlgren, Helia Hashemi, Aasish Pappu, Zahra Nazari, Longqi Yang, Oguz Semerci, Hugues Bouchard, Ben Carterette

Podcasts are spoken documents across a wide-range of genres and styles, with growing listenership across the world, and a rapidly lowering barrier to entry for both listeners and creators.

How Lexical Gold Standards Have Effects On The Usefulness Of Text Analysis Tools For Digital Scholarship

no code implementations31 May 2021 Jussi Karlgren

This paper describes how the current lexical similarity and analogy gold standards are built to conform to certain ideas about what the models they are designed to evaluate are used for.

High-dimensional distributed semantic spaces for utterances

no code implementations1 Apr 2021 Jussi Karlgren, Pentti Kanerva

High-dimensional distributed semantic spaces have proven useful and effective for aggregating and processing visual, auditory, and lexical information for many tasks related to human-generated data.

Vocal Bursts Intensity Prediction

Text Mining for Processing Interview Data in Computational Social Science

no code implementations28 Nov 2020 Jussi Karlgren, Renee Li, Eva M Meyersson Milgrom

We use commercially available text analysis technology to process interview text data from a computational social science study.

Clustering named-entity-recognition +2

Team Harry Friberg at SemEval-2019 Task 4: Identifying Hyperpartisan News through Editorially Defined Metatopics

no code implementations SEMEVAL 2019 Nazanin Afsarmanesh, Jussi Karlgren, Peter Sumbler, Nina Viereckel

This report describes the starting point for a simple rule based hypothesis testing excercise on identifying hyperpartisan news items carried out by the Harry Friberg team from Gavagai.

Two-sample testing

Inferring the location of authors from words in their texts

no code implementations WS 2015 Max Berggren, Jussi Karlgren, Robert Östling, Mikael Parkvall

This paper describes a series of experiments to determine how positionally annotated microblog posts can be used to learn location-indicating words which then can be used to locate blog texts and their authors.

Viewpoint and Topic Modeling of Current Events

no code implementations14 Aug 2016 Kerry Zhang, Jussi Karlgren, Cheng Zhang, Jens Lagergren

There are multiple sides to every story, and while statistical topic models have been highly successful at topically summarizing the stories in corpora of text documents, they do not explicitly address the issue of learning the different sides, the viewpoints, expressed in the documents.

Topic Models

The Gavagai Living Lexicon

no code implementations LREC 2016 Magnus Sahlgren, Amaru Cuba Gyllensten, Fredrik Espinoza, Ola Hamfors, Jussi Karlgren, Fredrik Olsson, Per Persson, Akshay Viswanathan, Anders Holst

This paper presents the Gavagai Living Lexicon, which is an online distributional semantic model currently available in 20 different languages.

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