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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 4 5 6 7 8 9...42 Hits 81 – 100 of 830 81 Wikily Supervised Neural Translation Tailored to Cross-Lingual Tasks ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Callison-Burch, Chris; Rasooli, Mohammad Sadegh. - : Underline Science Inc., 2021 BASE Show details 82 Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Dai, Wenliang; Fung, Pascale. - : Underline Science Inc., 2021 BASE Show details 83 Sorting through the noise: Testing robustness of information processing in pre-trained language models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ettinger, Allyson; Pandia, Lalchand. - : Underline Science Inc., 2021 BASE Show details 84 Building the Directed Semantic Graph for Coherent Long Text Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Wang, Ziao. - : Underline Science Inc., 2021 BASE Show details 85 Detect and Classify – Joint Span Detection and Classification for Health Outcomes ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Abaho, Micheal; Bollegala, Danushka. - : Underline Science Inc., 2021 BASE Show details 86 Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Gheini, Mozhdeh; May, Jonathan. - : Underline Science Inc., 2021 BASE Show details 87 Evaluation of Summarization Systems across Gender, Age, and Race ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Jørgensen, Anna; Søgaard, Anders. - : Underline Science Inc., 2021 BASE Show details 88 A Language Model-based Generative Classifier for Sentence-level Discourse Parsing ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Zhang, Ying. - : Underline Science Inc., 2021 BASE Show details 89 Controllable Neural Dialogue Summarization with Personal Named Entity Planning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Nancy; Liu, Zhengyuan. - : Underline Science Inc., 2021 BASE Show details 90 Foreseeing the Benefits of Incidental Supervision ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Dan; He, Hangfeng. - : Underline Science Inc., 2021 BASE Show details 91 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 92 CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Lin, Haitao; Ma, Liqun. - : Underline Science Inc., 2021 BASE Show details 93 Connecting Attributions and QA Model Behavior on Realistic Counterfactuals ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Durrett, Greg; Nair, Rohan; Ye, Xi. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.447/ Abstract: When a model attribution technique highlights a particular part of the input, a user might understand this highlight as making a statement about counterfactuals (Miller, 2019): if that part of the input were to change, the model's prediction might change as well. This paper investigates how well different attribution techniques align with this assumption on realistic counterfactuals in the case of reading comprehension (RC). RC is a particularly challenging test case, as token-level attributions that have been extensively studied in other NLP tasks such as sentiment analysis are less suitable to represent the reasoning that RC models perform. We construct counterfactual sets for three different RC settings, and through heuristics that can connect attribution methods' outputs to high-level model behavior, we can evaluate how useful different attribution methods and even different formats are for understanding counterfactuals. We ... Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Sentiment Analysis URL: https://dx.doi.org/10.48448/rxrd-6468 https://underline.io/lecture/37547-connecting-attributions-and-qa-model-behavior-on-realistic-counterfactuals BASE Hide details 94 Provable Limitations of Acquiring Meaning from Ungrounded Form: What will Future Language Models Understand? ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Goldberg, Yoav; Merrill, William. - : Underline Science Inc., 2021 BASE Show details 95 Generation and Extraction Combined Dialogue State Tracking with Hierarchical Ontology Integration ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Li, Xinmeng. - : Underline Science Inc., 2021 BASE Show details 96 Error-Sensitive Evaluation for Ordinal Target Variables ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, David; Courtland, Maury. - : Underline Science Inc., 2021 BASE Show details 97 CDLM: Cross-Document Language Modeling ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Iz; ., Matthew. - : Underline Science Inc., 2021 BASE Show details 98 Data-to-text Generation by Splicing Together Nearest Neighbors ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Backurs, Arturs; Stratos, Karl. - : Underline Science Inc., 2021 BASE Show details 99 Natural Language Processing Meets Quantum Physics: A Survey and Categorization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Li, Jian; Wu, Sixuan. - : Underline Science Inc., 2021 BASE Show details 100 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 Page: 1 2 3 4 5 6 7 8 9...42

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