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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...54 Hits 61 – 80 of 1.080 61 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 62 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 63 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 64 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 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.532/ Abstract: We study generating abstractive summaries that are faithful and factually consistent with the given articles. A novel contrastive learning formulation is presented, which leverages both reference summaries, as positive training data, and automatically generated erroneous summaries, as negative training data, to train summarization systems that are better at distinguishing between them. We further design four types of strategies for creating negative samples, to resemble errors made commonly by two state-of-the-art models, BART and PEGASUS, found in our new human annotations of summary errors. Experiments on XSum and CNN/Daily Mail show that our contrastive learning framework is robust across datasets and models. It consistently produces more factual summaries than strong comparisons with post error correction, entailment-based reranking, and unlikelihood training, according to QA-based factuality evaluation. Human judges echo the ... Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Text Summarization URL: https://dx.doi.org/10.48448/zqr1-d338 https://underline.io/lecture/38001-cliff-contrastive-learning-for-improving-faithfulness-and-factuality-in-abstractive-summarization BASE Hide details 65 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 66 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 67 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 68 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 69 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 70 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 71 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 72 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 73 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 74 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 75 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 76 Meta Distant Transfer Learning for Pre-trained Language Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Wang, Chengyu. - : Underline Science Inc., 2021 BASE Show details 77 How to Train BERT with an Academic Budget ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Berchansky, Moshe; Izsak, Peter. - : Underline Science Inc., 2021 BASE Show details 78 Improving Span Representation for Domain-adapted Coreference Resolution ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Field, Anjalie; Gandhi, Nupoor. - : Underline Science Inc., 2021 BASE Show details 79 Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021. - : Underline Science Inc., 2021 BASE Show details 80 An Empirical Study on Multiple Information Sources for Zero-Shot Fine-Grained Entity Typing ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Yi. - : Underline Science Inc., 2021 BASE Show details Page: 1 2 3 4 5 6 7 8...54

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