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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 Hits 1 – 20 of 32 1 Characterizing News Portrayal of Civil Unrest in Hong Kong, 1998–2020 ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Giovanna Maria Dora; Bhattacharya, Rohit. - : Underline Science Inc., 2022 BASE Show details 2 Grounded Neural Generation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Rieser, Verena. - : Underline Science Inc., 2021 BASE Show details 3 ArgFuse: A Weakly-Supervised Framework for Document-Level Event Argument Aggregation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Goyal, Pawan; Kar, Debanjana. - : Underline Science Inc., 2021 BASE Show details 4 Question Answering over Text and Tables ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Wang, William Yang. - : Underline Science Inc., 2021 BASE Show details 5 Reordering Examples Helps during Priming-based Few-Shot Learning ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Kumar, Sawan; Talukdar, Partha. - : Underline Science Inc., 2021 BASE Show details 6 One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Huang, Yongfeng; Wu, Chuhan. - : Underline Science Inc., 2021 BASE Show details 7 Extracting Events from Industrial Incident Reports ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Hingmire, Swapnil; Kumar, Alok. - : Underline Science Inc., 2021 BASE Show details 8 On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Balasubramanian, Niranjan; Ferdman, Michael. - : Underline Science Inc., 2021 BASE Show details 9 Knowledge-based neural pre-training for Intelligent Document Management ... AIxIA 2021; BASILI, Roberto. - : Underline Science Inc., 2021 BASE Show details 10 Easy Semantification of Bioassays ... AIxIA 2021; Anteghini, Marco. - : Underline Science Inc., 2021 BASE Show details 11 Improving Machine Translation of Arabic Dialects through Multi-Task Learning ... AIxIA 2021; moukafih, youness. - : Underline Science Inc., 2021 BASE Show details 12 Automatic Learning Assistant in Telugu ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bommadi, Meghana; Mamidi, Radhika. - : Underline Science Inc., 2021 BASE Show details 13 Team “NoConflict” at CASE 2021 Task 1: Pretraining for Sentence-Level Protest Event Detection ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Hu, Tiancheng; Stoehr, Niklas. - : Underline Science Inc., 2021 BASE Show details 14 DAAI at CASE 2021 Task 1: Transformer-based Multilingual Socio-political and Crisis Event Detection ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Adedoyin-Olowe, Mariam; Bhogal, Jagdev. - : Underline Science Inc., 2021 BASE Show details 15 Modality and Negation in Event Extraction ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bijl de Vroe, Sander; Guillou, Liane. - : Underline Science Inc., 2021 BASE Show details 16 Hell Hath No Fury? Correcting Bias in the NRC Emotion Lexicon ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Finlayson, Mark A.; Jimenez, Joshuan. - : Underline Science Inc., 2021 BASE Show details 17 System Description for the CommonGen task with the POINTER model ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Shvets, Anna. - : Underline Science Inc., 2021 BASE Show details 18 Compositional Lexical Semantics In Natural Language Inference Pavlick, Ellie In: Publicly Accessible Penn Dissertations (2017) BASE Show details 19 A Uniform Approach to Analogies, Synonyms, Antonyms, and Associations Turney, Peter D.. - 2008 BASE Show details 20 The Latent Relation Mapping Engine: Algorithm and Experiments [<Journal>] Turney, Peter D.. - : AI Access Foundation Abstract: Many AI researchers and cognitive scientists have argued that analogy is the core of cognition. The most influential work on computational modeling of analogy-making is Structure Mapping Theory (SMT) and its implementation in the Structure Mapping Engine (SME). A limitation of SME is the requirement for complex hand-coded representations. We introduce the Latent Relation Mapping Engine (LRME), which combines ideas from SME and Latent Relational Analysis (LRA) in order to remove the requirement for hand-coded representations. LRME builds analogical mappings between lists of words, using a large corpus of raw text to automatically discover the semantic relations among the words. We evaluate LRME on a set of twenty analogical mapping problems, ten based on scientific analogies and ten based on common metaphors. LRME achieves human-level performance on the twenty problems. We compare LRME with a variety of alternative approaches and find that they are not able to reach the same level of performance. Keyword: Artificial Intelligence; Computational Linguistics; Language; Machine Learning; Semantics URL: http://cogprints.org/6305/ BASE Hide details Page: 1 2

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