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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...44 Hits 41 – 60 of 880 41 Extracting Event Temporal Relations via Hyperbolic Geometry ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Tan, Xingwei. - : Underline Science Inc., 2021 BASE Show details 42 FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Bansal, Mohit; Guo, Han. - : Underline Science Inc., 2021 BASE Show details 43 Contrastive Explanations for Model Interpretability ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Choi, Yejin; Elazar, Yanai. - : Underline Science Inc., 2021 BASE Show details 44 Open Aspect Target Sentiment Classification with Natural Language Prompts ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Birle, Ian; Chang, Haw-Shiuan; Hough, Alfred; Pinette, Brian; Seoh, Ronald; Tak, Mrinal. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.509/ Abstract: For many business applications, we often seek to analyze sentiments associated with any arbitrary aspects of commercial products, despite having a very limited amount of labels or even without any labels at all. However, existing aspect target sentiment classification (ATSC) models are not trainable if annotated datasets are not available. Even with labeled data, they fall short of reaching satisfactory performance. To address this, we propose simple approaches that better solve ATSC with natural language prompts, enabling the task under zero-shot cases and enhancing supervised settings, especially for few-shot cases. Under the few-shot setting for SemEval 2014 Task 4 laptop domain, our method of reformulating ATSC as an NLI task outperforms supervised SOTA approaches by up to 24.13 accuracy points and 33.14 macro F1 points. Moreover, we demonstrate that our prompts could handle implicitly stated aspects as well: our models reach ... Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Inference; Natural Language Processing; Sentiment Analysis URL: https://dx.doi.org/10.48448/xy0p-qf26 https://underline.io/lecture/37815-open-aspect-target-sentiment-classification-with-natural-language-prompts BASE Hide details 45 Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Choenni, Rochelle; Shutova, Ekaterina. - : Underline Science Inc., 2021 BASE Show details 46 We've had this conversation before: A Novel Approach to Measuring Dialog Similarity ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Anaby-Tavor, Ateret; Boaz, David. - : Underline Science Inc., 2021 BASE Show details 47 ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Baylon, Julia; Han, Rujun. - : Underline Science Inc., 2021 BASE Show details 48 Visual Goal-Step Inference using wikiHow ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Callison-Burch, Chris; Lyu, Qing. - : Underline Science Inc., 2021 BASE Show details 49 CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cao, Shuyang; Wang, Lu. - : Underline Science Inc., 2021 BASE Show details 50 Truth-Conditional Captions for Time Series Data ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Berg-Kirkpatrick, Taylor; Jhamtani, Harsh. - : Underline Science Inc., 2021 BASE Show details 51 Knowledge Base Completion Meets Transfer Learning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Kocijan, Vid; Lukasiewicz, Thomas. - : Underline Science Inc., 2021 BASE Show details 52 Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Collins, Michael; Effland, Thomas. - : Underline Science Inc., 2021 BASE Show details 53 Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Jiawei. - : Underline Science Inc., 2021 BASE Show details 54 Analyzing the Surprising Variability in Word Embedding Stability Across Languages ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Burdick, Laura; Kummerfeld, Jonathan. - : Underline Science Inc., 2021 BASE Show details 55 Neural Machine Translation with Heterogeneous Topic Knowledge Embeddings ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Peng, Wei. - : Underline Science Inc., 2021 BASE Show details 56 Towards Zero-Shot Knowledge Distillation for Natural Language Processing ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ghaddar, Abbas; Lioutas, Vasileios. - : Underline Science Inc., 2021 BASE Show details 57 Corrected CBOW Performs as well as Skip-gram ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Karl; Benton, Adrian. - : Underline Science Inc., 2021 BASE Show details 58 SIMMC 2.0: A Task-oriented Dialog Dataset for Immersive Multimodal Conversations ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Damavandi, Babak; Geramifard, Alborz. - : Underline Science Inc., 2021 BASE Show details 59 Automatic Text Evaluation through the Lens of Wasserstein Barycenters ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Clavel, Chloe; Colombo, Pierre. - : Underline Science Inc., 2021 BASE Show details 60 Combining sentence and table evidence to predict veracity of factual claims using TaPaS and RoBERTa ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Funkquist, Martin. - : Underline Science Inc., 2021 BASE Show details Page: 1 2 3 4 5 6 7...44

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