• Refine your search:
  • 
    Keyword:
    
    • Natural Language Processing (887)
    • Machine Learning (860)
    • Computational Linguistics (830)
    • Machine Learning and Data Mining (814)
    • Language Models (281)
    • Machine translation (110)
    • Information Extraction (65)
    • Neural Network (59)
    • Sentiment Analysis (48)
    • Text Summarization (46)
    •   more
  • 
    Creator / Publisher
  • 
    Year
  • 
    Medium:
    
    • Online (1.029)
  • 
    Type:
    
    • Article (1.029)
  • 
    BLLDB-Access

Search in the Catalogues and Directories

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. - : Underline Science Inc., 2021 BASE Show 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 Abstract: Neural machine translation (NMT) is sensitive to domain shift. In this paper, we address this problem in an active learning setting where we can spend a given budget on translating in-domain data, and gradually fine-tune a pre-trained out-of-domain NMT model on the newly translated data. Existing active learning methods for NMT usually select sentences based on uncertainty scores, but these methods require costly translation of full sentences even when only one or two key phrases within the sentence are informative. To address this limitation, we re-examine previous work from the phrase-based machine translation (PBMT) era that selected not full sentences, but rather individual phrases. However, while incorporating these phrases into PBMT systems was relatively simple, it is less trivial for NMT systems, which need to be trained on full sequences to capture larger structural properties of sentences unique to the new domain. To overcome these hurdles, we propose to select both full sentences and individual ... Keyword: Bilingual Lexicon Induction; Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Machine translation; Natural Language Processing URL: https://dx.doi.org/10.48448/a5he-ja64 https://underline.io/lecture/39477-phrase-level-active-learning-for-neural-machine-translation BASE Hide details Page: 1...44 45 46 47 48 49 50 51 52

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 1.029 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0