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2020 – today
- 2024
[c68]Jussi Karlgren, Luise Dürlich, Evangelia Gogoulou, Liane Guillou, Joakim Nivre, Magnus Sahlgren, Aarne Talman, Shorouq Zahra:
Overview of ELOQUENT 2024 - Shared Tasks for Evaluating Generative Language Model Quality. CLEF (2) 2024: 53-72- [c67]Magnus Sahlgren, Jussi Karlgren, Luise Dürlich, Evangelia Gogoulou, Aarne Talman, Shorouq Zahra:
ELOQUENT 2024 - Robustness Task. CLEF (Working Notes) 2024: 703-707 - [c66]Ariel Ekgren, Amaru Cuba Gyllensten, Felix Stollenwerk, Joey Öhman, Tim Isbister, Evangelia Gogoulou, Fredrik Carlsson, Judit Casademont, Magnus Sahlgren:
GPT-SW3: An Autoregressive Language Model for the Scandinavian Languages. LREC/COLING 2024: 7886-7900 - [c65]Jussi Karlgren, Luise Dürlich, Evangelia Gogoulou, Liane Guillou, Joakim Nivre, Magnus Sahlgren, Aarne Talman
:
ELOQUENT CLEF Shared Tasks for Evaluation of Generative Language Model Quality. ECIR (5) 2024: 459-465 - [c64]Fredrik Carlsson, Johan Broberg, Erik Hillbom, Magnus Sahlgren, Joakim Nivre:
Branch-GAN: Improving Text Generation with (not so) Large Language Models. ICLR 2024 - [i18]Tobias Norlund, Tim Isbister, Amaru Cuba Gyllensten, Paul Dos Santos, Danila Petrelli, Ariel Ekgren, Magnus Sahlgren:
SWEb: A Large Web Dataset for the Scandinavian Languages. CoRR abs/2410.04456 (2024) - 2023
- [c63]Aleksandrs Berdicevskis, Gerlof Bouma, Robin Kurtz, Felix Morger, Joey Öhman, Yvonne Adesam, Lars Borin, Dana Dannélls, Markus Forsberg, Tim Isbister, Anna Lindahl, Martin Malmsten, Faton Rekathati, Magnus Sahlgren, Elena Volodina, Love Börjeson, Simon Hengchen, Nina Tahmasebi:
Superlim: A Swedish Language Understanding Evaluation Benchmark. EMNLP 2023: 8137-8153 - [i17]Joey Öhman, Severine Verlinden, Ariel Ekgren, Amaru Cuba Gyllensten, Tim Isbister, Evangelia Gogoulou, Fredrik Carlsson, Magnus Sahlgren:
The Nordic Pile: A 1.2TB Nordic Dataset for Language Modeling. CoRR abs/2303.17183 (2023) - [i16]Ariel Ekgren, Amaru Cuba Gyllensten, Felix Stollenwerk, Joey Öhman, Tim Isbister, Evangelia Gogoulou, Fredrik Carlsson, Alice Heiman, Judit Casademont, Magnus Sahlgren:
GPT-SW3: An Autoregressive Language Model for the Nordic Languages. CoRR abs/2305.12987 (2023) - 2022
- [j11]Alessandro Lenci, Magnus Sahlgren, Patrick Jeuniaux, Amaru Cuba Gyllensten, Martina Miliani:
A comparative evaluation and analysis of three generations of Distributional Semantic Models. Lang. Resour. Evaluation 56(4): 1269-1313 (2022) - [j10]Chinmay Kumar Dwibedi, Emelia Mellergård, Amaru Cuba Gyllensten, Kristoffer Nilsson, Annika S. Axelsson, Malin Bäckman, Magnus Sahlgren, Stephen H. Friend, Sofie Persson, Stefan Franzén, Birgitta Abrahamsson, Katarina Steen Carlsson, Anders H. Rosengren:
Effect of self-managed lifestyle treatment on glycemic control in patients with type 2 diabetes. npj Digit. Medicine 5 (2022) - [c62]Fredrik Carlsson, Joey Öhman, Fangyu Liu, Severine Verlinden, Joakim Nivre, Magnus Sahlgren:
Fine-Grained Controllable Text Generation Using Non-Residual Prompting. ACL (1) 2022: 6837-6857 - [c61]Evangelia Gogoulou, Ariel Ekgren, Tim Isbister, Magnus Sahlgren:
Cross-lingual Transfer of Monolingual Models. LREC 2022: 948-955 - [c60]Ariel Ekgren, Amaru Cuba Gyllensten, Evangelia Gogoulou, Alice Heiman, Severine Verlinden, Joey Öhman, Fredrik Carlsson, Magnus Sahlgren:
Lessons Learned from GPT-SW3: Building the First Large-Scale Generative Language Model for Swedish. LREC 2022: 3509-3518 - [c59]Fredrik Carlsson, Philipp Eisen, Faton Rekathati, Magnus Sahlgren:
Cross-lingual and Multilingual CLIP. LREC 2022: 6848-6854 - 2021
- [j9]Magnus Sahlgren, Fredrik Carlsson:
The Singleton Fallacy: Why Current Critiques of Language Models Miss the Point. Frontiers Artif. Intell. 4: 682578 (2021) - [c58]Evangelia Gogoulou, Magnus Boman, Fehmi Ben Abdesslem, Nils Hentati Isacsson, Viktor Kaldo, Magnus Sahlgren:
Predicting Treatment Outcome from Patient Texts: The Case of Internet-Based Cognitive Behavioural Therapy. EACL 2021: 575-580 - [c57]Fredrik Carlsson, Amaru Cuba Gyllensten, Evangelia Gogoulou, Erik Ylipää Hellqvist, Magnus Sahlgren:
Semantic Re-tuning with Contrastive Tension. ICLR 2021 - [c56]Magnus Sahlgren, Fredrik Carlsson, Fredrik Olsson, Love Börjeson:
It's Basically the Same Language Anyway: the Case for a Nordic Language Model. NoDaLiDa 2021: 367-372 - [c55]Abdul Aziz Alkathiri, Lodovico Giaretta, Sarunas Girdzijauskas, Magnus Sahlgren:
Decentralized Word2Vec Using Gossip Learning. NoDaLiDa 2021: 373-377 - [c54]Tim Isbister, Fredrik Carlsson, Magnus Sahlgren:
Should we Stop Training More Monolingual Models, and Simply Use Machine Translation Instead? NoDaLiDa 2021: 385-390 - [i15]Magnus Sahlgren, Fredrik Carlsson:
The Singleton Fallacy: Why Current Critiques of Language Models Miss the Point. CoRR abs/2102.04310 (2021) - [i14]Tim Isbister, Fredrik Carlsson, Magnus Sahlgren:
Should we Stop Training More Monolingual Models, and Simply Use Machine Translation Instead? CoRR abs/2104.10441 (2021) - [i13]Daniel Garcia Bernal, Lodovico Giaretta, Sarunas Girdzijauskas, Magnus Sahlgren:
Federated Word2Vec: Leveraging Federated Learning to Encourage Collaborative Representation Learning. CoRR abs/2105.00831 (2021) - [i12]Alessandro Lenci, Magnus Sahlgren, Patrick Jeuniaux, Amaru Cuba Gyllensten, Martina Miliani:
A comprehensive comparative evaluation and analysis of Distributional Semantic Models. CoRR abs/2105.09825 (2021) - [i11]Evangelia Gogoulou, Ariel Ekgren, Tim Isbister, Magnus Sahlgren:
Cross-lingual Transfer of Monolingual Models. CoRR abs/2109.07348 (2021) - [i10]Fredrik Olsson, Magnus Sahlgren:
We Need to Talk About Data: The Importance of Data Readiness in Natural Language Processing. CoRR abs/2110.05464 (2021) - 2020
- [j8]Kambiz Ghoorchian, Magnus Sahlgren:
GDTM: Graph-based Dynamic Topic Models. Prog. Artif. Intell. 9(3): 195-207 (2020) - [c53]Magnus Sahlgren:
Rethinking Topic Modelling: From Document-Space to Term-Space. EMNLP (Findings) 2020: 2250-2259 - [c52]Amaru Cuba Gyllensten, Evangelia Gogoulou, Ariel Ekgren, Magnus Sahlgren:
SenseCluster at SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection. SemEval@COLING 2020: 112-118 - [i9]Fredrik Olsson, Magnus Sahlgren:
Data Readiness for Natural Language Processing. CoRR abs/2009.02043 (2020) - [i8]Tim Isbister, Magnus Sahlgren:
Why Not Simply Translate? A First Swedish Evaluation Benchmark for Semantic Similarity. CoRR abs/2009.03116 (2020)
2010 – 2019
- 2019
- [j7]Magnus Boman, Fehmi Ben Abdesslem, Erik Forsell, Daniel Gillblad, Olof Görnerup, Nils Isacsson, Magnus Sahlgren, Viktor Kaldo:
Learning machines in Internet-delivered psychological treatment. Prog. Artif. Intell. 8(4): 475-485 (2019) - [c51]Mohamed Abdalla, Magnus Sahlgren, Graeme Hirst:
Enriching Word Embeddings with a Regressor Instead of Labeled Corpora. AAAI 2019: 6188-6195 - [c50]Magnus Sahlgren, Fredrik Olsson:
Gender Bias in Pretrained Swedish Embeddings. NODALIDA 2019: 35-43 - 2018
- [c49]Magnus Boman, Magnus Sahlgren, Olof Görnerup, Daniel Gillblad:
Learning Machines. AAAI Spring Symposia 2018 - [c48]Karey Helms, Barry A. T. Brown, Magnus Sahlgren, Airi Lampinen:
Design Methods to Investigate User Experiences of Artificial Intelligence. AAAI Spring Symposia 2018 - [c47]Magnus Sahlgren, Erik Ylipää, Barry A. T. Brown, Karey Helms, Airi Lampinen, Donald McMillan, Jussi Karlgren:
The Smart Data Layer. AAAI Spring Symposia 2018 - [c46]Magnus Sahlgren, Tim Isbister, Fredrik Olsson:
Learning Representations for Detecting Abusive Language. ALW 2018: 115-123 - [c45]Fredrik Espinoza, Ola Hamfors, Jussi Karlgren, Fredrik Olsson, Per Persson, Lars Hamberg, Magnus Sahlgren:
Analysis of Open Answers to Survey Questions through Interactive Clustering and Theme Extraction. CHIIR 2018: 317-320 - [c44]Amaru Cuba Gyllensten, Magnus Sahlgren:
Distributional Term Set Expansion. LREC 2018 - [c43]Amaru Cuba Gyllensten, Magnus Sahlgren:
Measuring Issue Ownership using Word Embeddings. WASSA@EMNLP 2018: 149-155 - [i7]Amaru Cuba Gyllensten, Magnus Sahlgren:
Distributional Term Set Expansion. CoRR abs/1802.05014 (2018) - [i6]Tim Isbister, Magnus Sahlgren, Lisa Kaati, Milan Obaidi, Nazar Akrami:
Monitoring Targeted Hate in Online Environments. CoRR abs/1803.04757 (2018) - [i5]Ariel Ekgren, Amaru Cuba Gyllensten, Magnus Sahlgren:
R-grams: Unsupervised Learning of Semantic Units in Natural Language. CoRR abs/1808.04670 (2018) - [i4]Amaru Cuba Gyllensten, Magnus Sahlgren:
Measuring Issue Ownership using Word Embeddings. CoRR abs/1811.00127 (2018) - 2017
- [j6]Björn Zimmer, Magnus Sahlgren, Andreas Kerren:
Visual Analysis of Relationships between Heterogeneous Networks and Texts: An Application on the IEEE VIS Publication Dataset. Informatics 4(2): 11 (2017) - [j5]Fredrik Sandin, Blerim Emruli, Magnus Sahlgren:
Random indexing of multidimensional data. Knowl. Inf. Syst. 52(1): 267-290 (2017) - [j4]Kostiantyn Kucher, Carita Paradis, Magnus Sahlgren, Andreas Kerren:
Active Learning and Visual Analytics for Stance Classification with ALVA. ACM Trans. Interact. Intell. Syst. 7(3): 14:1-14:31 (2017) - 2016
- [j3]Kostiantyn Kucher, Teri Schamp-Bjerede, Andreas Kerren, Carita Paradis, Magnus Sahlgren:
Visual analysis of online social media to open up the investigation of stance phenomena. Inf. Vis. 15(2): 93-116 (2016) - [c42]Maria Skeppstedt, Magnus Sahlgren, Carita Paradis, Andreas Kerren:
Unshared task: (Dis)agreement in online debates. ArgMining@ACL 2016 - [c41]Maria Skeppstedt, Magnus Sahlgren, Carita Paradis, Andreas Kerren:
Active learning for detection of stance components. PEOPLES@COLING 2016: 50-59 - [c40]Magnus Sahlgren, Alessandro Lenci:
The Effects of Data Size and Frequency Range on Distributional Semantic Models. EMNLP 2016: 975-980 - [c39]Magnus Sahlgren, Amaru Cuba Gyllensten, Fredrik Espinoza, Ola Hamfors, Jussi Karlgren, Fredrik Olsson, Per Persson, Akshay Viswanathan, Anders Holst:
The Gavagai Living Lexicon. LREC 2016 - [c38]Tobias Norlund, David Nilsson, Magnus Sahlgren:
Parameterized context windows in Random Indexing. Rep4NLP@ACL 2016: 166-173 - [c37]Kostiantyn Kucher, Andreas Kerren, Carita Paradis, Magnus Sahlgren:
Visual Analysis of Text Annotations for Stance Classification with ALVA. EuroVis (Posters) 2016: 49-51 - [i3]Magnus Sahlgren, Alessandro Lenci:
The Effects of Data Size and Frequency Range on Distributional Semantic Models. CoRR abs/1609.08293 (2016) - 2015
- [j2]Gabriel Recchia, Magnus Sahlgren, Pentti Kanerva, Michael N. Jones:
Encoding Sequential Information in Semantic Space Models: Comparing Holographic Reduced Representation and Random Permutation. Comput. Intell. Neurosci. 2015: 986574:1-986574:18 (2015) - [c36]Jussi Karlgren, Jimmy Callin, Kevyn Collins-Thompson, Amaru Cuba Gyllensten, Ariel Ekgren, David Jurgens, Anna Korhonen, Fredrik Olsson, Magnus Sahlgren, Hinrich Schütze:
Evaluating Learning Language Representations. CLEF 2015: 254-260 - [c35]Arvid Österlund, David Ödling, Magnus Sahlgren:
Factorization of Latent Variables in Distributional Semantic Models. EMNLP 2015: 227-231 - [c34]Amaru Cuba Gyllensten, Magnus Sahlgren:
Navigating the Semantic Horizon using Relative Neighborhood Graphs. EMNLP 2015: 2451-2460 - [c33]Maria Skeppstedt, Teri Schamp-Bjerede, Magnus Sahlgren, Carita Paradis, Andreas Kerren:
Detecting speculations, contrasts and conditionals in consumer reviews. WASSA@EMNLP 2015: 162-168 - [i2]Amaru Cuba Gyllensten, Magnus Sahlgren:
Navigating the Semantic Horizon using Relative Neighborhood Graphs. CoRR abs/1501.02670 (2015) - 2014
- [c32]Afshin Rahimi, Magnus Sahlgren, Andreas Kerren, Carita Paradis:
STAVICTA Group Report for RepLab 2014 Reputation Dimension Task. CLEF (Working Notes) 2014: 1519-1527 - [c31]Kostiantyn Kucher, Andreas Kerren, Carita Paradis, Magnus Sahlgren:
Visual analysis of stance markers in online social media. IEEE VAST 2014: 259-260 - 2012
- [c30]Jussi Karlgren, Magnus Sahlgren, Fredrik Olsson, Fredrik Espinoza, Ola Hamfors:
Profiling Reputation of Corporate Entities in Semantic Space. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c29]Jussi Karlgren, Magnus Sahlgren, Fredrik Olsson, Fredrik Espinoza, Ola Hamfors:
Usefulness of Sentiment Analysis. ECIR 2012: 426-435 - 2011
- [i1]Fredrik Sandin, Blerim Emruli, Magnus Sahlgren:
Incremental dimension reduction of tensors with random index. CoRR abs/1103.3585 (2011) - 2010
- [c28]Jussi Karlgren, Gunnar Eriksson, Magnus Sahlgren, Oscar Täckström:
Between Bags and Trees - Constructional Patterns in Text Used for Attitude Identification. ECIR 2010: 38-49
2000 – 2009
- 2009
- [c27]Magnus Sahlgren, Jussi Karlgren:
Terminology mining in social media. CIKM 2009: 405-414 - 2008
- [c26]Jussi Karlgren, Anders Holst, Magnus Sahlgren:
Filaments of Meaning in Word Space. ECIR 2008: 531-538 - [c25]Magnus Sahlgren, Jussi Karlgren:
Buzz Monitoring in Word Space. EuroISI 2008: 73-84 - 2007
- [c24]Magnus Sahlgren, Jussi Karlgren, Gunnar Eriksson:
SICS: Valence annotation based on seeds in word space. SemEval@ACL 2007: 296-299 - 2006
- [b1]Magnus Sahlgren:
The Word-Space Model: using distributional analysis to represent syntagmatic and paradigmatic relations between words in high-dimensional vector spaces. Research Institutes of Sweden, Sweden, 2006 - [c23]Fredrik Olsson, Jussi Karlgren, Preben Hansen, Martin Svensson, Rickard Cöster, Magnus Sahlgren:
Consensus and Opinions; Quality and Churn. AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs 2006: 179-180 - [c22]Magnus Sahlgren:
Towards pertinent evaluation methodologies for word-space models. LREC 2006: 821-824 - 2005
- [j1]Magnus Sahlgren, Jussi Karlgren:
Automatic bilingual lexicon acquisition using random indexing of parallel corpora. Nat. Lang. Eng. 11(3): 327-341 (2005) - [c21]Johnny Bigert, Jonas Sjöbergh, Ola Knutsson, Magnus Sahlgren:
Unsupervised Evaluation of Parser Robustness. CICLing 2005: 142-154 - [c20]Atelach Alemu Argaw, Lars Asker, Rickard Cöster, Jussi Karlgren, Magnus Sahlgren:
Dictionary-Based Amharic-French Information Retrieval. CLEF 2005: 83-92 - [c19]Atelach Alemu Argaw, Lars Asker, Rickard Cöster, Jussi Karlgren, Magnus Sahlgren:
Dictionary-based Amharic-French Information Retrieval. CLEF (Working Notes) 2005 - [c18]Jussi Karlgren, Magnus Sahlgren, Rickard Cöster:
Weighting Query Terms Based on Distributional Statistics. CLEF 2005: 208-211 - [c17]Jussi Karlgren, Magnus Sahlgren, Rickard Cöster:
Principled Query Processing. CLEF (Working Notes) 2005 - [c16]Jon Holmlund, Magnus Sahlgren, Jussi Karlgren:
Creating bilingual lexica using reference wordlists for alignment of monolingual semantic vector spaces. NODALIDA 2005: 71-77 - [c15]Magnus Sahlgren, Jussi Karlgren:
Counting Lumps in Word Space: Density as a Measure of Corpus Homogeneity. SPIRE 2005: 151-154 - 2004
- [c14]Jussi Karlgren, Magnus Sahlgren, Timo Järvinen, Rickard Cöster:
Dynamic Lexica for Query Translation. CLEF (Working Notes) 2004 - [c13]Jussi Karlgren, Magnus Sahlgren, Timo Järvinen, Rickard Cöster:
Dynamic Lexica for Query Translation. CLEF 2004: 150-155 - [c12]Preben Hansen, Jussi Karlgren, Magnus Sahlgren:
Cooperation, Bookmarking, and Thesaurus in Interactive Bilingual Question Answering. CLEF 2004: 343-347 - [c11]Jussi Karlgren, Preben Hansen, Magnus Sahlgren:
Bookmarking, Thesaurus, and Cooperation in Bilingual Question Answering. CLEF (Working Notes) 2004 - [c10]Magnus Sahlgren, Rickard Cöster:
Using Bag-of-Concepts to Improve the Performance of Support Vector Machines in Text Categorization. COLING 2004 - [c9]Magnus Sahlgren:
Automatic Bilingual Lexicon Acquisition Using Random Indexing of Aligned Bilingual Data. LREC 2004 - 2003
- [c8]Rickard Cöster, Magnus Sahlgren, Jussi Karlgren:
Selective Compound Splitting of Swedish Queries for Boolean Combinations of Truncated Terms. CLEF 2003: 337-344 - [c7]Rickard Cöster, Magnus Sahlgren, Jussi Karlgren:
Selective Compound Splitting of Swedish Queries for Boolean Combinations of Truncated Terms. CLEF (Working Notes) 2003 - 2002
- [c6]Magnus Sahlgren, Jussi Karlgren, Rickard Cöster, Timo Järvinen:
Automatic Query Expansion Using Random Indexing. CLEF 2002: 311-320 - [c5]Magnus Sahlgren, Jussi Karlgren, Rickard Cöster, Timo Järvinen:
SICS at CLEF 2002: Automatic Query Expansion using Random Indexing. CLEF (Working Notes) 2002 - [c4]Magnus Sahlgren, Preben Hansen, Jussi Karlgren:
English-Japanese Cross-lingual Query Expansion Using Random Indexing of Aligned Bilingual Text Data. NTCIR 2002 - 2001
- [c3]Jussi Karlgren, Magnus Sahlgren:
Vector-based Semantic Analysis using Random Indexing and Morphological Analysis for Cross-Lingual Information Retrieval. CLEF (Working Notes) 2001 - [c2]Magnus Sahlgren, Jussi Karlgren:
Vector-Based Semantic Analysis Using Random Indexing for Cross-Lingual Query Expansion. CLEF 2001: 169-176 - [c1]Magnus Sahlgren, David Swanberg:
Using Linguistic Information to Improve the Performance of Vector-Based Semantic Analysis. NODALIDA 2001
Coauthor Index
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