• Refine your search:
  • 
    Keyword:
    
    • Machine Learning (852)
    • Computational Linguistics (851)
    • Natural Language Processing (825)
    • Machine Learning and Data Mining (813)
    • Language Models (246)
    • Machine translation (93)
    • Neural Network (70)
    • Information Extraction (65)
    • Text Summarization (46)
    • Question-Answering Systems (45)
    •   more
  • 
    Creator / Publisher
  • 
    Year:
    
    • 2021 (852)
  • 
    Medium:
    
    • Online (852)
  • 
    Type
  • 
    BLLDB-Access:
    • free (852)
    • subject to license (0)

Search in the Catalogues and Directories

All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6...43 Hits 21 – 40 of 852 21 Blindness to Modality Helps Entailment Graph Mining ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Mark; Bijl de Vroe, Sander. - : Underline Science Inc., 2021 BASE Show details 22 Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Liu, Ruixuan; Sun, Guangzhong. - : Underline Science Inc., 2021 BASE Show details 23 Characterizing Test Anxiety on Social Media ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Julka, Esha; Kowalishin, Olivia. - : Underline Science Inc., 2021 BASE Show details 24 Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ong, Desmond; Suresh, Varsha. - : Underline Science Inc., 2021 BASE Show details 25 Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Lai, Shaopeng. - : Underline Science Inc., 2021 BASE Show details 26 Contrastive Code Representation Learning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Jain, Ajay; Jain, Paras. - : Underline Science Inc., 2021 BASE Show details 27 Machine Translation Decoding beyond Beam Search ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Alayrac, Jean-Baptiste; Antonoglou, Ioannis. - : Underline Science Inc., 2021 BASE Show details 28 Unsupervised Multi-View Post-OCR Error Correction With Language Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Brenner, Eliot; Broscheit, Samuel. - : Underline Science Inc., 2021 BASE Show details 29 AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ding, Haoran; Luo, Xiao. - : Underline Science Inc., 2021 BASE Show details 30 ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Vlado; Fang, Meng. - : Underline Science Inc., 2021 BASE Show details 31 Multi-granularity Textual Adversarial Attack with Behavior Cloning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Yangyi; su, jin. - : Underline Science Inc., 2021 BASE Show details 32 Automatic Fact-Checking with Document-level Annotations using BERT and Multiple Instance Learning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Park, Joonsuk; Sathe, Aalok. - : Underline Science Inc., 2021 BASE Show details 33 Towards the Early Detection of Child Predators in Chat Rooms: A BERT-based Approach ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Kumbale, Sinchana; Singh, Smriti. - : Underline Science Inc., 2021 BASE Show details 34 TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Iryna; Reimers, Nils. - : Underline Science Inc., 2021 BASE Show details 35 WebSRC: A Dataset for Web-Based Structural Reading Comprehension ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Xingyu. - : Underline Science Inc., 2021 BASE Show details 36 Improving Math Word Problems with Pre-trained Knowledge and Hierarchical Reasoning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Wen, Yingpeng; Xiao, Nong. - : Underline Science Inc., 2021 BASE Show details 37 Semantic Categorization of Social Knowledge for Commonsense Question Answering ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Wang, Gengyu. - : Underline Science Inc., 2021 BASE Show details 38 Pre-train or Annotate? Domain Adaptation with a Constrained Budget ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Bai, Fan; Ritter, Alan; Xu, Wei. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.409/ Abstract: Recent work has demonstrated that pre-training in-domain language models can boost performance when adapting to a new domain. However, the costs associated with pre-training raise an important question: given a fixed budget, what steps should an NLP practitioner take to maximize performance? In this paper, we study domain adaptation under budget constraints, and approach it as a customer choice problem between data annotation and pre-training. Specifically, we measure the annotation cost of three procedural text datasets and the pre-training cost of three in-domain language models. Then we evaluate the utility of different combinations of pre-training and data annotation under varying budget constraints to assess which combination strategy works best. We find that, for small budgets, spending all funds on annotation leads to the best performance; once the budget becomes large enough, a combination of data annotation and in-domain ... Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://underline.io/lecture/37963-pre-train-or-annotatequestion-domain-adaptation-with-a-constrained-budget https://dx.doi.org/10.48448/z1gf-n855 BASE Hide details 39 Corpus-based Open-Domain Event Type Induction ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Shen, Jiaming. - : Underline Science Inc., 2021 BASE Show details 40 Learning with Different Amounts of Annotation: From Zero to Many Labels ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Eunsol; Gong, Chengyue. - : Underline Science Inc., 2021 BASE Show details Page: 1 2 3 4 5 6...43

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 852 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0