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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...47 Hits 41 – 60 of 922 41 SUBSUME: A Dataset for Subjective Summary Extraction from Wikipedia Documents ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Matteo; Fariha, Anna. - : Underline Science Inc., 2021 BASE Show details 42 Few-Shot Named Entity Recognition: An Empirical Baseline Study ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Balakrishnan, Shobana; Chen, Weizhu. - : Underline Science Inc., 2021 BASE Show details 43 Low-resource Taxonomy Enrichment with Pretrained Language Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Akimoto, Kosuke; Oyamada, Masafumi. - : Underline Science Inc., 2021 BASE Show details 44 Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Hao, Kailong; Hu, Wei. - : Underline Science Inc., 2021 BASE Show details 45 Extend, don√ït rebuild: Phrasing conditional graph modification as autoregressive sequence labelling ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Garda, Samuele; Leser, Ulf; Münchmeyer, Jannes; Weber, Leon. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.93/ Abstract: Deriving and modifying graphs from natural language text has become a versatile basis technology for information extraction with applications in many subfields, such as semantic parsing or knowledge graph construction. A recent work used this technique for modifying scene graphs (He et al., 2020), by first encoding the original graph and then generating the modified one based on this encoding. In this work, we show that we can considerably increase performance on this problem by phrasing it as graph extension instead of graph generation. We propose the first model for the resulting graph extension problem based on autoregressive sequence labelling. On three scene graph modification data sets, this formulation leads to improvements in accuracy over the state-of-the-art between 13 and 26 percentage points. Furthermore, we introduce a novel data set from the biomedical domain which has much larger linguistic variability and more ... Keyword: Computational Linguistics; Information Extraction; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://dx.doi.org/10.48448/qn5e-y121 https://underline.io/lecture/37830-extend-donit-rebuild-phrasing-conditional-graph-modification-as-autoregressive-sequence-labelling BASE Hide details 46 Treasures Outside Contexts: Improving Event Detection via Global Statistics ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Li, Rui. - : Underline Science Inc., 2021 BASE Show details 47 Cost-effective End-to-end Information Extraction for Semi-structured Document Images ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Hwang, Wonseok; Kim, Geewook. - : Underline Science Inc., 2021 BASE Show details 48 Monitoring geometrical properties of word embeddings for detecting the emergence of new topics. ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Boumghar, Manel; Christophe, Clément. - : Underline Science Inc., 2021 BASE Show details 49 Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Gangal, Varun; Mekala, Dheeraj. - : Underline Science Inc., 2021 BASE Show details 50 Robust Retrieval Augmented Generation for Zero-shot Slot Filling ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chowdhury, Md Faisal Mahbub; Glass, Michael. - : Underline Science Inc., 2021 BASE Show details 51 Zero-Shot Information Extraction as a Unified Text-to-Triple Translation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Zui; Hong, Haoyun. - : Underline Science Inc., 2021 BASE Show details 52 Structure-Augmented Keyphrase Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Choi, Seungtaek; Hwang, Seung-won. - : Underline Science Inc., 2021 BASE Show details 53 Document-level Entity-based Extraction as Template Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Huang, Kung-Hsiang; Peng, Nanyun. - : Underline Science Inc., 2021 BASE Show details 54 TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Fang, Zheng. - : Underline Science Inc., 2021 BASE Show details 55 Synchronous Dual Network with Cross-Type Attention for Joint Entity and Relation Extraction ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Shi, Xiaodong; Wu, Hui. - : Underline Science Inc., 2021 BASE Show details 56 Data Augmentation for Cross-Domain Named Entity Recognition ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Gustavo; Chen, Shuguang. - : Underline Science Inc., 2021 BASE Show details 57 Speaker-Oriented Latent Structures for Dialogue-Based Relation Extraction ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Leng, Sicong; Lu, Wei. - : Underline Science Inc., 2021 BASE Show details 58 Joint Multi-modal Aspect-Sentiment Analysis with Auxiliary Cross-modal Relation Detection ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ju, Xincheng. - : Underline Science Inc., 2021 BASE Show details 59 Active Learning by Acquiring Contrastive Examples ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Aletras, Nikolaos; Barrault, Loïc. - : Underline Science Inc., 2021 BASE Show details 60 A Bag of Tricks for Dialogue Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ballesteros, Miguel; Khalifa, Muhammad. - : Underline Science Inc., 2021 BASE Show details Page: 1 2 3 4 5 6 7...47

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