• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 89 matches

• 2022
• 
  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)
• 
  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
• 
  Fredrik Carlsson, Philipp Eisen, Faton Rekathati, Magnus Sahlgren:
  Cross-lingual and Multilingual CLIP. LREC 2022: 6848-6854
• 
  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
• 
  Evangelia Gogoulou, Ariel Ekgren, Tim Isbister, Magnus Sahlgren:
  Cross-lingual Transfer of Monolingual Models. LREC 2022: 948-955
• 2021
• 
  Magnus Sahlgren, Fredrik Carlsson:
  The Singleton Fallacy: Why Current Critiques of Language Models Miss the Point. Frontiers Artif. Intell. 4: 682578 (2021)
• 
  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
• 
  Fredrik Carlsson, Amaru Cuba Gyllensten, Evangelia Gogoulou, Erik Ylipää Hellqvist, Magnus Sahlgren:
  Semantic Re-tuning with Contrastive Tension. ICLR 2021
• 
  Abdul Aziz Alkathiri, Lodovico Giaretta, Sarunas Girdzijauskas, Magnus Sahlgren:
  Decentralized Word2Vec Using Gossip Learning. NoDaLiDa 2021: 373-377
• 
  Tim Isbister, Fredrik Carlsson, Magnus Sahlgren:
  Should we Stop Training More Monolingual Models, and Simply Use Machine Translation Instead? NoDaLiDa 2021: 385-390
• 
  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
• 
  Magnus Sahlgren, Fredrik Carlsson:
  The Singleton Fallacy: Why Current Critiques of Language Models Miss the Point. CoRR abs/2102.04310 (2021)
• 
  Fredrik Carlsson Magnus Sahlgren:
  Sentence Embeddings by Ensemble Distillation. CoRR abs/2104.06719 (2021)
• 
  Tim Isbister, Fredrik Carlsson, Magnus Sahlgren:
  Should we Stop Training More Monolingual Models, and Simply Use Machine Translation Instead? CoRR abs/2104.10441 (2021)
• 
  Daniel Garcia Bernal, Lodovico Giaretta, Sarunas Girdzijauskas, Magnus Sahlgren:
  Federated Word2Vec: Leveraging Federated Learning to Encourage Collaborative Representation Learning. CoRR abs/2105.00831 (2021)
• 
  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)
• 
  Evangelia Gogoulou, Ariel Ekgren, Tim Isbister, Magnus Sahlgren:
  Cross-lingual Transfer of Monolingual Models. CoRR abs/2109.07348 (2021)
• 
  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
• 
  Kambiz Ghoorchian, Magnus Sahlgren:
  GDTM: Graph-based Dynamic Topic Models. Prog. Artif. Intell. 9(3): 195-207 (2020)
• 
  Magnus Sahlgren:
  Rethinking Topic Modelling: From Document-Space to Term-Space. EMNLP (Findings) 2020: 2250-2259
• 
  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
• 
  Fredrik Olsson, Magnus Sahlgren:
  Data Readiness for Natural Language Processing. CoRR abs/2009.02043 (2020)
• 
  Tim Isbister, Magnus Sahlgren:
  Why Not Simply Translate? A First Swedish Evaluation Benchmark for Semantic Similarity. CoRR abs/2009.03116 (2020)
• 2019
• 
  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)
• 
  Mohamed Abdalla, Magnus Sahlgren, Graeme Hirst:
  Enriching Word Embeddings with a Regressor Instead of Labeled Corpora. AAAI 2019: 6188-6195
• 
  Magnus Sahlgren, Fredrik Olsson:
  Gender Bias in Pretrained Swedish Embeddings. NODALIDA 2019: 35-43
• 2018
• 
  Magnus Boman, Magnus Sahlgren, Olof Görnerup, Daniel Gillblad:
  Learning Machines. AAAI Spring Symposia 2018
• 
  Karey Helms, Barry A. T. Brown, Magnus Sahlgren, Airi Lampinen:
  Design Methods to Investigate User Experiences of Artificial Intelligence. AAAI Spring Symposia 2018
• 
  Magnus Sahlgren, Erik Ylipää, Barry A. T. Brown, Karey Helms, Airi Lampinen, Donald McMillan, Jussi Karlgren:
  The Smart Data Layer. AAAI Spring Symposia 2018
• 
  Magnus Sahlgren, Tim Isbister, Fredrik Olsson:
  Learning Representations for Detecting Abusive Language. ALW 2018: 115-123

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