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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 BASE Show 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 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.210/ Abstract: Auxiliary information from multiple sources has been demonstrated to be effective in zero-shot fine-grained entity typing (ZFET). However, there lacks a comprehensive understanding about how to make better use of the existing information sources and how they affect the performance of ZFET. In this paper, we empirically study three kinds of auxiliary information: {context consistency}, {type hierarchy} and {background knowledge} (e.g., prototypes and descriptions) of types, and propose a multi-source fusion model (MSF) targeting these sources. The performance obtains up to 11.42% and 22.84% absolute gains over state-of-the-art baselines on BBN and Wiki respectively with regard to macro F1 scores. More importantly, we further discuss the characteristics, merits and demerits of each information source and provide an intuitive understanding of the complementarity among them. ... Keyword: Computational Linguistics; Information Extraction; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://dx.doi.org/10.48448/ym6r-8p79 https://underline.io/lecture/37562-an-empirical-study-on-multiple-information-sources-for-zero-shot-fine-grained-entity-typing BASE Hide details Page: 1 2 3 4 5 6 7 8...54

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