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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 Hits 1 – 20 of 36 1 Pairwise embedding for event coreference resolution Hu, Yanda. - 2022 BASE Show details 2 Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Han, Jiawei; Huang, Jiaxin. - : Underline Science Inc., 2021 BASE Show details 3 Joint Detection and Coreference Resolution of Entities and Events with Document-level Context Aggregation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Ji, Heng; Kriman, Samuel. - : Underline Science Inc., 2021 BASE Show details 4 Stage-wise Fine-tuning for Graph-to-Text Generation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Ji, Heng; Lin, Victoria. - : Underline Science Inc., 2021 BASE Show details 5 HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Hockenmaier, Julia; Ji, Heng. - : Underline Science Inc., 2021 BASE Show details 6 Lifelong Event Detection with Knowledge Transfer ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ji, Heng; Natarajan, Premkumar. - : Underline Science Inc., 2021 BASE Show details 7 InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bansal, Mohit; Chang, Shih-Fu. - : Underline Science Inc., 2021 BASE Show details 8 Learning Shared Semantic Space for Speech-to-Text Translation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Han, Chi; Ji, Heng. - : Underline Science Inc., 2021 BASE Show details 9 Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Ji, Heng; Lai, Tuan. - : Underline Science Inc., 2021 BASE Show details 10 Event-Centric Natural Language Processing ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Chen, Muhao; Ji, Heng. - : Underline Science Inc., 2021 BASE Show details 11 The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cho, Kyunghyun; Han, Jiawei. - : Underline Science Inc., 2021 BASE Show details 12 VAULT: VAriable Unified Long Text Representation for Machine Reading Comprehension ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Ferritto, Anthony; Florian, Radu. - : Underline Science Inc., 2021 BASE Show details 13 Fine-grained Information Extraction from Biomedical Literature based on Knowledge-enriched Abstract Meaning Representation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Elsayed, Ahmed; Ji, Heng. - : Underline Science Inc., 2021 BASE Show details 14 Coreference by Appearance: Visually Grounded Event Coreference Resolution ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chang, Shih-Fu; Feng, Shengyu. - : Underline Science Inc., 2021 BASE Show details 15 Learning speech embeddings for speaker adaptation and speech understanding Sari, Leda. - 2021 Abstract: In recent years, deep neural network models gained popularity as a modeling approach for many speech processing tasks including automatic speech recognition (ASR) and spoken language understanding (SLU). In this dissertation, there are two main goals. The first goal is to propose modeling approaches in order to learn speaker embeddings for speaker adaptation or to learn semantic speech embeddings. The second goal is to introduce training objectives that achieve fairness for the ASR and SLU problems. In the case of speaker adaptation, we introduce an auxiliary network to an ASR model and learn to simultaneously detect speaker changes and adapt to the speaker in an unsupervised way. We show that this joint model leads to lower error rates as compared to a two-step approach where the signal is segmented into single speaker regions and then fed into an adaptation model. We then reformulate the speaker adaptation problem from a counterfactual fairness point-of-view and introduce objective functions to match the ASR performance of the individuals in the dataset to that of their counterfactual counterparts. We show that we can achieve lower error rate in an ASR system while reducing the performance disparity between protected groups. In the second half of the dissertation, we focus on SLU and tackle two problems associated with SLU datasets. The first SLU problem is the lack of large speech corpora. To handle this issue, we propose to use available non-parallel text data so that we can leverage the information in text to guide learning of the speech embeddings. We show that this technique increases the intent classification accuracy as compared to a speech-only system. The second SLU problem is the label imbalance problem in the datasets, which is also related to fairness since a model trained on skewed data usually leads to biased results. To achieve fair SLU, we propose to maximize the F-measure instead of conventional cross-entropy minimization and show that it is possible to increase the number of classes with nonzero recall. In the last two chapters, we provide additional discussions on the impact of these projects from both technical and social perspectives, propose directions for future research and summarize the findings. Keyword: automatic speech recognition; fairness in machine learning; Neural networks; speaker adaptation; spoken language understanding URL: http://hdl.handle.net/2142/110438 BASE Hide details 16 Text Classification Using Label Names Only: A Language Model Self-Training Approach ... Meng, Yu; Zhang, Yunyi; Huang, Jiaxin. - : arXiv, 2020 BASE Show details 17 COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation ... Wang, Qingyun; Li, Manling; Wang, Xuan. - : arXiv, 2020 BASE Show details 18 Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation ... Mao, Yuning; Ren, Xiang; Ji, Heng. - : arXiv, 2020 BASE Show details 19 Learning from Lexical Perturbations for Consistent Visual Question Answering ... Whitehead, Spencer; Wu, Hui; Fung, Yi Ren. - : arXiv, 2020 BASE Show details 20 Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding ... Shen, Jiaming; Ji, Heng; Han, Jiawei. - : arXiv, 2020 BASE Show details Page: 1 2

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