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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 Hits 1 – 20 of 83 1 Negative language transfer in learner English: A new dataset ... NAACL 2021 2021; Demmans Epp, Carrie; Farias Wanderley, Leticia. - : Underline Science Inc., 2021 BASE Show details 2 Generative Imagination Elevates Machine Translation ... NAACL 2021 2021; Li, Lei; Long, Quanyu. - : Underline Science Inc., 2021 BASE Show details 3 Parallel sentences mining with transfer learning in an unsupervised setting ... NAACL 2021 2021; Feng, Yifan; Mi, Chenggang. - : Underline Science Inc., 2021 BASE Show details 4 Source and Target Bidirectional Knowledge Distillation for End-to-end Speech Translation ... NAACL 2021 2021; Inaguma, Hirofumi. - : Underline Science Inc., 2021 BASE Show details 5 Detoxifying Language Models Risks Marginalizing Minority Voices ... NAACL 2021 2021; Gururangan, Suchin; Klein, Dan. - : Underline Science Inc., 2021 BASE Show details 6 Domain Adaptation for Arabic Cross-Domain and Cross-Dialect Sentiment Analysis from Contextualized Word Embedding ... NAACL 2021 2021; Berrada, Ismail; El Mahdaouy, Abdelkader. - : Underline Science Inc., 2021 BASE Show details 7 Knowledge Enhanced Masked Language Model for Stance Detection ... NAACL 2021 2021; Kawintiranon, Kornraphop; Singh, Lisa. - : Underline Science Inc., 2021 BASE Show details 8 Universal Dependencies ... NAACL 2021 2021; de Marneffe, Marie-Catherine; Manning, Christopher. - : Underline Science Inc., 2021 BASE Show details 9 Frustratingly Easy Edit-based Linguistic Steganography with a Masked Language Model ... NAACL 2021 2021; Kurohashi, Sadao; Murawaki, Yugo. - : Underline Science Inc., 2021 BASE Show details 10 MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories ... NAACL 2021 2021; Choi, Minjin; Choi, Eunseong. - : Underline Science Inc., 2021 BASE Show details 11 DirectProbe: Studying Representations without Classifiers ... NAACL 2021 2021; Srikumar, Vivek; Zhou, Yichu. - : Underline Science Inc., 2021 BASE Show details 12 Challenging distributional models with a conceptual network of philosophical terms ... NAACL 2021 2021; Bloem, Jelke; Fokkens, Antske. - : Underline Science Inc., 2021 BASE Show details 13 Modeling the Severity of Complaints in Social Media ... NAACL 2021 2021; Aletras, Nikolaos; Jin, Mali. - : Underline Science Inc., 2021 BASE Show details 14 ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding ... NAACL 2021 2021; Li, Yu-Kun; Xiao, Dongling. - : Underline Science Inc., 2021 BASE Show details 15 Proteno: Text Normalization with Limited Data for Fast Deployment in Text to Speech Systems ... NAACL 2021 2021; Tyagi, Shubhi. - : Underline Science Inc., 2021 BASE Show details 16 CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems ... NAACL 2021 2021; Chawla, Kushal; Clever, Rene. - : Underline Science Inc., 2021 BASE Show details 17 multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning ... NAACL 2021 2021; Bansal, Mohit; Saha, Swarnadeep. - : Underline Science Inc., 2021 BASE Show details 18 Modeling Framing in Immigration Discourse on Social Media ... NAACL 2021 2021; Budak, Ceren; Jurgens, David; Mendelsohn, Julia. - : Underline Science Inc., 2021 Abstract: Read the paper on the folowing link: https://www.aclweb.org/anthology/2021.naacl-main.179/ Abstract: The framing of political issues can influence policy and public opinion. Even though the public plays a key role in creating and spreading frames, little is known about how ordinary people on social media frame political issues. By creating a new dataset of immigration-related tweets labeled for multiple framing typologies from political communication theory, we develop supervised models to detect frames. We demonstrate how users' ideology and region impact framing choices, and how a message's framing influences audience responses. We find that the more commonly-used issue-generic frames obscure important ideological and regional patterns that are only revealed by immigration-specific frames. Furthermore, frames oriented towards human interests, culture, and politics are associated with higher user engagement. This large-scale analysis of a complex social and linguistic phenomenon contributes to both NLP and ... Keyword: Artificial Intelligence; Computer Science and Engineering; Intelligent System; Natural Language Processing URL: https://underline.io/lecture/19988-modeling-framing-in-immigration-discourse-on-social-media https://dx.doi.org/10.48448/eckj-ht52 BASE Hide details 19 Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve ... NAACL 2021 2021; Agarwal, Oshin; Nenkova, Ani. - : Underline Science Inc., 2021 BASE Show details 20 SPLAT: Speech-Language Joint Pre-Training for Spoken Language Understanding ... NAACL 2021 2021; ., Michael; Zhu, Chenguang. - : Underline Science Inc., 2021 BASE Show details Page: 1 2 3 4 5

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