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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 Hits 21 – 40 of 65 21 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 22 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. - : Underline Science Inc., 2021 BASE Show details 23 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 24 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 25 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 26 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 27 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 28 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 29 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 30 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 31 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 32 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 33 Data Augmentation for Cross-Domain Named Entity Recognition ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Gustavo; Chen, Shuguang; Chen, Shuguang; Neves, Leonardo; Solorio, Thamar. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.434/ Abstract: Current work in named entity recognition (NER) shows that data augmentation techniques can produce more robust models. However, most existing techniques focus on augmenting in-domain data in low-resource scenarios where annotated data is quite limited. In contrast, we study cross-domain data augmentation for the NER task. We investigate the possibility of leveraging data from high-resource domains by projecting it into the low-resource domains. Specifically, we propose a novel neural architecture to transform the data representation from a high-resource to a low-resource domain by learning the patterns (e.g. style, noise, abbreviations, etc.) in the text that differentiate them and a shared feature space where both domains are aligned. We experiment with diverse datasets and show that transforming the data to the low-resource domain representation achieves significant improvements over only using data from high-resource domains. ... Keyword: Computational Linguistics; Information Extraction; Machine Learning; Machine Learning and Data Mining; Named Entity Recognition; Natural Language Processing URL: https://dx.doi.org/10.48448/b53d-5560 https://underline.io/lecture/37857-data-augmentation-for-cross-domain-named-entity-recognition BASE Hide details 34 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 35 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 36 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 37 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 38 Incorporating medical knowledge in BERT for clinical relation extraction ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Pan, Shimei; Roy, Arpita. - : Underline Science Inc., 2021 BASE Show details 39 Crosslingual Transfer Learning for Relation and Event Extraction via Word Category and Class Alignments ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Min, Bonan; Nguyen, Thien Huu. - : Underline Science Inc., 2021 BASE Show details 40 ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Han, Rujun; Peng, Nanyun. - : Underline Science Inc., 2021 BASE Show details Page: 1 2 3 4

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