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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 3 Hits 1 – 20 of 56 1 Ara-Women-Hate: The first Arabic Hate Speech corpus regarding Women ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Guellil, Imane. - : Underline Science Inc., 2021 BASE Show details 2 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 3 STaCK: Sentence Ordering with Temporal Commonsense Knowledge ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ghosal, Deepanway; Majumder, Navonil. - : Underline Science Inc., 2021 BASE Show details 4 Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chang, Kai-Wei; Hsieh, Cho-Jui. - : Underline Science Inc., 2021 BASE Show details 5 Graphine: A Dataset for Graph-aware Terminology Definition Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Gu, Yiyang; Liu, Zequn. - : Underline Science Inc., 2021 BASE Show details 6 End-to-end style-conditioned poetry generation: What does it take to learn from examples alone? ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Eger, Steffen. - : Underline Science Inc., 2021 BASE Show details 7 To what extent do human explanations of model behavior align with actual model behavior? ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Prasad, Grusha. - : Underline Science Inc., 2021 BASE Show details 8 Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Lehmann, Jens; Su, Fenglong. - : Underline Science Inc., 2021 BASE Show details 9 What’s Hidden in a One-layer Randomly Weighted Transformer? ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Shen, Sheng; Yao, Zhewei. - : Underline Science Inc., 2021 BASE Show details 10 Finetuning Pretrained Transformers into RNNs ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Weizhu; Ilharco, Gabriel. - : Underline Science Inc., 2021 BASE Show details 11 Sometimes We Want Ungrammatical Translations ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Parthasarathi, Prasanna. - : Underline Science Inc., 2021 BASE Show details 12 Pruning Neural Machine Translation for Speed Using Group Lasso ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Behnke, Maximiliana; Heafield, Kenneth. - : Underline Science Inc., 2021 BASE Show details 13 Elementary-Level Math Word Problem Generation using Pre-Trained Transformers ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Savindu; Athapaththu, Dineth. - : Underline Science Inc., 2021 BASE Show details 14 Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Schuff, Hendrik. - : Underline Science Inc., 2021 Abstract: Natural language inference (NLI) requires models to learn and apply commonsense knowledge. These reasoning abilities are particularly important for explainable NLI systems that generate a natural language explanation in addition to their label prediction. The integration of external knowledge has been shown to improve NLI systems, here we investigate whether it can also improve their explanation capabilities. For this, we investigate different sources of external knowledge and evaluate the performance of our models on in-domain data as well as on special transfer datasets that are designed to assess fine-grained reasoning capabilities. We find that different sources of knowledge have a different effect on reasoning abilities, for example, implicit knowledge stored in language models can hinder reasoning on numbers and negations. Finally, we conduct the largest and most fine-grained explainable NLI crowdsourcing study to date. It reveals that even large differences in automatic performance scores do neither ... Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Inference; Natural Language Processing; Neural Network URL: https://underline.io/lecture/39896-does-external-knowledge-help-explainable-natural-language-inferencequestion-automatic-evaluation-vs.-human-ratings https://dx.doi.org/10.48448/wbph-r951 BASE Hide details 15 The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine Translation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ahia, Orevaoghene; Hooker, Sara. - : Underline Science Inc., 2021 BASE Show details 16 Knowledge Graph Representation Learning using Ordinary Differential Equations ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Hoffmann, Franca; Lehmann, Jens. - : Underline Science Inc., 2021 BASE Show details 17 What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Adam; Asthana, Kalyani. - : Underline Science Inc., 2021 BASE Show details 18 Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Akula, Arjun; Gella, Spandana. - : Underline Science Inc., 2021 BASE Show details 19 EM ALBERT: a step towards equipping Manipuri for NLP ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Huidrom, Rudali; Lepage, Yves. - : Underline Science Inc., 2021 BASE Show details 20 ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021. - : Underline Science Inc., 2021 BASE Show details Page: 1 2 3

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