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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...44 45 46 47 48 49 50 51 52 Hits 941 – 960 of 1.029 941 Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Dongyeop; Hayati, Shirley; Ungar, Lyle. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.510/ Abstract: People convey their intention and attitude through linguistic styles of the text that they write. In this study, we investigate lexicon usages across styles throughout two lenses: human perception and machine word importance, since words differ in the strength of the stylistic cues that they provide. To collect labels of human perception, we curate a new dataset, Hummingbird, on top of benchmarking style datasets. We have crowd workers highlight the representative words in the text that makes them think the text has the following styles: politeness, sentiment, offensiveness, and five emotion types. We then compare these human word labels with word importance derived from a popular fine-tuned style classifier like BERT. Our results show that the BERT often finds content words not relevant to the target style as important words used in style prediction, but humans do not perceive the same way even though for some styles (e.g., ... Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://dx.doi.org/10.48448/e4sm-9557 https://underline.io/lecture/37883-does-bert-learn-as-humans-perceivequestion-understanding-linguistic-styles-through-lexica BASE Hide details 942 Predicting emergent linguistic compositions through time: Syntactic frame extension via multimodal chaining ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Xu, Yang; Yu, Lei. - : Underline Science Inc., 2021 BASE Show details 943 Just Ask! Evaluating Machine Translation by Asking and Answering Questions ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Marie-Francine; Ghadery, Erfan. - : Underline Science Inc., 2021 BASE Show details 944 BPM_MT: Enhanced Backchannel Prediction Model using Multi-Task Learning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Gweon, Gahgene; Jang, Jin Yea. - : Underline Science Inc., 2021 BASE Show details 945 An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Ali; Alyakin, Anyon. - : Underline Science Inc., 2021 BASE Show details 946 Statistically Significant Detection of Semantic Shifts using Contextual Word Embeddings ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Dorota; Liu, Yang. - : Underline Science Inc., 2021 BASE Show details 947 Lying Through One's Teeth: A Study on Verbal Leakage Cues ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ku, Lun-Wei; Yeh, Min-Hsuan. - : Underline Science Inc., 2021 BASE Show details 948 Iterative Paraphrastic Augmentation with Discriminative Span Alignment ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Culkin, Ryan; Hu, J. Edward. - : Underline Science Inc., 2021 BASE Show details 949 Guilt by Association: Emotion Intensities in Lexical Representations ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; de Melo, Gerard; Raji, Shahab. - : Underline Science Inc., 2021 BASE Show details 950 Findings of the WMT Shared Task on Machine Translation Using Terminologies ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Alam, Md Mahfuz Ibn; Kvapilikova, Ivana. - : Underline Science Inc., 2021 BASE Show details 951 Knowledge-Interactive Network with Sentiment Polarity Intensity-Aware Multi-Task Learning for Emotion Recognition in Conversations ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Xie, Yunhe. - : Underline Science Inc., 2021 BASE Show details 952 Does Vision-and-Language Pretraining Improve Lexical Grounding? ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Pavlick, Ellie; Sun, Chen. - : Underline Science Inc., 2021 BASE Show details 953 Translation Transformers Rediscover Inherent Data Domains ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Del, Maksym; Fishel, Mark. - : Underline Science Inc., 2021 BASE Show details 954 XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; El-Kishky, Ahmed. - : Underline Science Inc., 2021 BASE Show details 955 Local Word Discovery for Interactive Transcription ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Bird, Steven; Lane, William. - : Underline Science Inc., 2021 BASE Show details 956 GeneSis: A Generative Approach to Substitutes in Context ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Lacerra, Caterina; Navigli, Roberto. - : Underline Science Inc., 2021 BASE Show details 957 Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Utama, Ajie. - : Underline Science Inc., 2021 BASE Show details 958 Leveraging Word-Formation Knowledge for Chinese Word Sense Disambiguation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Deli; Dai, Damai. - : Underline Science Inc., 2021 BASE Show details 959 Generic resources are what you need: Style transfer tasks without task-specific parallel training data ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Lai, Huiyuan. - : Underline Science Inc., 2021 BASE Show details 960 Phrase-level Active Learning for Neural Machine Translation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Hu, Junjie; Neubig, Graham. - : Underline Science Inc., 2021 BASE Show details Page: 1...44 45 46 47 48 49 50 51 52

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