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Publication search results
found 237 matches
- 2024
- Wenjie Xu, Yuning Jiang, Emilio Tanowe Maddalena, Colin N. Jones:
Lower Bounds on the Noiseless Worst-Case Complexity of Efficient Global Optimization. J. Optim. Theory Appl. 201(2): 583-608 (2024) - Victor Kwaku Agbesi, Wenyu Chen, Sophyani Banaamwini Yussif, Md Altab Hossin, Chiagoziem Chima Ukwuoma, Noble Arden Elorm Kuadey, Colin Collinson Agbesi, Nagwan M. Abdel Samee, Mona M. Jamjoom, Mugahed A. Al-antari:
Pre-Trained Transformer-Based Models for Text Classification Using Low-Resourced Ewe Language. Syst. 12(1): 1 (2024) - Yifei Yuan, Chen Shi, Runze Wang, Liyi Chen, Renjun Hu, Zengming Zhang, Feijun Jiang, Wai Lam:
CO3: Low-resource Contrastive Co-training for Generative Conversational Query Rewrite. LREC/COLING 2024: 3394-3406 - Khalid Ahmed, Jan Buys:
Neural Machine Translation between Low-Resource Languages with Synthetic Pivoting. LREC/COLING 2024: 12144-12158 - Felermino Dario Mario Ali, Henrique Lopes Cardoso, Rui Sousa-Silva:
Detecting Loanwords in Emakhuwa: An Extremely Low-Resource Bantu Language Exhibiting Significant Borrowing from Portuguese. LREC/COLING 2024: 4750-4759 - Iqra Ali, Hidetaka Kamigaito, Taro Watanabe:
Monolingual Paraphrase Detection Corpus for Low Resource Pashto Language at Sentence Level. LREC/COLING 2024: 11574-11581 - Recep Firat Cekinel, Çagri Çöltekin, Pinar Karagoz:
Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in Turkish. LREC/COLING 2024: 4127-4142 - Yaqi Chen, Hao Zhang, Xukui Yang, Wenlin Zhang, Dan Qu:
Meta-Adapter for Self-Supervised Speech Models: A Solution to Low-Resource Speech Recognition Challenges. LREC/COLING 2024: 11215-11221 - Rossana Cunha, Thiago Castro Ferreira, Adriana S. Pagano, Fábio Alves:
A Persona-Based Corpus in the Diabetes Self-Care Domain - Applying a Human-Centered Approach to a Low-Resource Context. LREC/COLING 2024: 1353-1369 - Roberts Dargis, Arturs Znotins, Ilze Auzina, Baiba Saulite, Sanita Reinsone, Raivis Dejus, Antra Klavinska, Normunds Gruzitis:
BalsuTalka.lv - Boosting the Common Voice Corpus for Low-Resource Languages. LREC/COLING 2024: 2080-2085 - Harshita Diddee, Anurag Shukla, Tanuja Ganu, Vivek Seshadri, Sandipan Dandapat, Monojit Choudhury, Kalika Bali:
INMT-Lite: Accelerating Low-Resource Language Data Collection via Offline Interactive Neural Machine Translation. LREC/COLING 2024: 9097-9109 - Júlia Falcão, Claudia Borg, Nora Aranberri, Kurt Abela:
COMET for Low-Resource Machine Translation Evaluation: A Case Study of English-Maltese and Spanish-Basque. LREC/COLING 2024: 3553-3565 - Ruitao Feng, Xudong Hong, Mayank Jobanputra, Mattes Warning, Vera Demberg:
Retrieval-Augmented Modular Prompt Tuning for Low-Resource Data-to-Text Generation. LREC/COLING 2024: 14053-14062 - Arianna Graciotti, Valentina Presutti, Rocco Tripodi:
Latent vs Explicit Knowledge Representation: How ChatGPT Answers Questions about Low-Frequency Entities. LREC/COLING 2024: 10172-10185 - Hao Gu, Jiangyan Yi, Zheng Lian, Jianhua Tao, Xinrui Yan:
NLoPT: N-gram Enhanced Low-Rank Task Adaptive Pre-training for Efficient Language Model Adaption. LREC/COLING 2024: 12259-12270 - Ping Guo, Yubing Ren, Yue Hu, Yunpeng Li, Jiarui Zhang, Xingsheng Zhang, Heyan Huang:
Teaching Large Language Models to Translate on Low-resource Languages with Textbook Prompting. LREC/COLING 2024: 15685-15697 - Cristina García Holgado, Marianne Vergez-Couret:
Empowering Low-Resource Regional Languages with Lexicons : A Comparative Study of NLP Tools for Morphosyntactic Analysis. LREC/COLING 2024: 5747-5756 - Jia-Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli, Alessandro Capotondi:
Learning from Wrong Predictions in Low-Resource Neural Machine Translation. LREC/COLING 2024: 10263-10273 - Frederikus Hudi, Zhi Qu, Hidetaka Kamigaito, Taro Watanabe:
Disentangling Pretrained Representation to Leverage Low-Resource Languages in Multilingual Machine Translation. LREC/COLING 2024: 4978-4989 - Gabriel de Jesus, Sérgio Sobral Nunes:
Data Collection Pipeline for Low-Resource Languages: A Case Study on Constructing a Tetun Text Corpus. LREC/COLING 2024: 4368-4380 - Kyohoon Jin, Junho Lee, Juhwan Choi, Sangmin Song, Youngbin Kim:
Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation. LREC/COLING 2024: 5930-5943 - Byungha Kang, Youhyun Shin:
Improving Low-Resource Keyphrase Generation through Unsupervised Title Phrase Generation. LREC/COLING 2024: 8853-8865 - Amir Hossein Kargaran, François Yvon, Hinrich Schütze:
GlotScript: A Resource and Tool for Low Resource Writing System Identification. LREC/COLING 2024: 7774-7784 - Hwichan Kim, Shota Sasaki, Sho Hoshino, Ukyo Honda:
A Single Linear Layer Yields Task-Adapted Low-Rank Matrices. LREC/COLING 2024: 1602-1608 - Garry Kuwanto, Eno-Abasi Urua, Priscilla Amondi Amuok, Shamsuddeen Hassan Muhammad, Aremu Anuoluwapo, Verrah Otiende, Loice Emma Nanyanga, Teresiah W. Nyoike, Aniefon D. Akpan, Nsima Ab Udouboh, Idongesit Udeme Archibong, Idara Effiong Moses, Ifeoluwatayo A. Ige, Benjamin Ajibade, Olumide Benjamin Awokoya, Idris Abdulmumin, Saminu Mohammad Aliyu, Ruqayya Nasir Iro, Ibrahim Said Ahmad, Deontae Smith, Praise-EL Michaels, David Ifeoluwa Adelani, Derry Tanti Wijaya, Anietie Andy:
Mitigating Translationese in Low-resource Languages: The Storyboard Approach. LREC/COLING 2024: 11349-11360 - Jaeyoung Lee, Joonwon Jang, Misuk Kim:
Hierarchical Graph Convolutional Network Approach for Detecting Low-Quality Documents. LREC/COLING 2024: 8108-8121 - Junzhe Liang, Haifeng Sun, Zirui Zhuang, Qi Qi, Jingyu Wang, Jianxin Liao:
Distantly Supervised Contrastive Learning for Low-Resource Scripting Language Summarization. LREC/COLING 2024: 5006-5017 - Shadi Manafi, Nikhil Krishnaswamy:
Cross-Lingual Transfer Robustness to Lower-Resource Languages on Adversarial Datasets. LREC/COLING 2024: 4174-4184 - Andrés Piñeiro Martín, Carmen García-Mateo, Laura Docío Fernández, Maria del Carmen Lopez-Perez, Jose Gandarela-Rodriguez:
FalAI: A Dataset for End-to-end Spoken Language Understanding in a Low-Resource Scenario. LREC/COLING 2024: 7107-7116 - Francois Meyer, Jan Buys:
Triples-to-isiXhosa (T2X): Addressing the Challenges of Low-Resource Agglutinative Data-to-Text Generation. LREC/COLING 2024: 16841-16854
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