Meteor: an automatic metric for MT evaluation with high levels of correlation with human judgments

BLEU: a method for automatic evaluation of machine translation

Papineni, K., Roukos, S., Ward, T., & Zhu, W.-J. (2001) · Proceedings of the 40th Annual Meeting on Association for Computational Linguistics - ACL '02 · doi:10.3115/1073083.1073135 · Cited by 21,344

Untitled work

(2005) · Cited by 4,152

Minimum error rate training in statistical machine translation

Och, F. J. (2003) · Proceedings of the conference - Association for Computational Linguistics. Meeting · doi:10.3115/1075096.1075117 · Cited by 2,728

A Study of Translation Edit Rate with Targeted Human Annotation

Snover, M., Dorr, B. J., Schwartz, R. M., Micciulla, L., & Makhoul, J. I. (2006) · Cited by 2,380

Confidence estimation for machine translation

Blatz, J., Fitzgerald, E., Foster, G. F., Gandrabur, S., Goutte, C., Kulesza, A., Sanchís, A., & Ueffing, N. (2004) · International Conference on Computational Linguistics · doi:10.3115/1220355.1220401 · Cited by 368

Lattice-based minimum error rate training for statistical machine translation

Macherey, W., Och, F. J., Thayer, I., & Uszkoreit, J. (2008) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.3115/1613715.1613807 · Cited by 347

Precision and recall of machine translation

Melamed, I. D., Green, R., & Turian, J. P. (2003) · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · doi:10.3115/1073483.1073504 · Cited by 228

The Significance of Recall in Automatic Metrics for MT Evaluation

Lavie, A., Sagae, K., & Jayaraman, S. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-30194-3_16 · Cited by 123

CDER: Efficient MT Evaluation Using Block Movements.

Leusch, G., Ueffing, N., & Ney, H. (2006) · RWTH Publications (RWTH Aachen) · Cited by 109

Information Retrieval

(2024) · ACM eBooks · doi:10.1145/3674127 · Cited by 86

Concept-Aware Video Captioning: Describing Videos With Effective Prior Information

Yang, B., Cao, M., & Zou, Y. (2023) · IEEE Transactions on Image Processing · doi:10.1109/tip.2023.3307969 · Cited by 39

Pre-training on high-resource speech recognition improves low-resource speech-to-text translation

Bansal, S., Kamper, H., Livescu, K., Lopez, A., & Goldwater, S. J. (2019) · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · doi:10.18653/v1/n19-1006 · Cited by 58

Generating diagnostic report for medical image by high-middle-level visual information incorporation on double deep learning models

Zeng, X., Wen, L., Yang, X., & Ji, C. (2020) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2020.105700 · Cited by 41

Entity Slot Filling for Visual Captioning

Bin, Y., Ding, Y., Peng, B., Peng, L., Yang, Y., & Chua, T. (2021) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2021.3063297 · Cited by 39

Evaluating MT Adequacy without Reference Translations

Mehdad, Y., Negri, M., & Federico, M. (2012) · Cited by 39

Multi-modal indicators for estimating perceived cognitive load in post-editing of machine translation

Herbig, N., Pal, S., Vela, M., Krüger, A., & van Genabith, J. (2019) · Machine Translation · doi:10.1007/s10590-019-09227-8 · Cited by 38

Divergent-convergent attention for image captioning

Ji, J., Du, Z., & Zhang, X. (2021) · Pattern Recognition · doi:10.1016/j.patcog.2021.107928 · Cited by 38

The IWSLT 2011 Evaluation Campaign on Automatic Talk Translation

Federico, M., Stüker, S., Bentivogli, L., Paul, M. D., Cettolo, M., Herrmann, T., Niehues, J., & Moretti, G. (2012) · Language Resources and Evaluation Conference (LREC) · doi:10.63317/5ms6auiwwnq2 · Cited by 37

Show and Tell More: Topic-Oriented Multi-Sentence Image Captioning

Mao, Y., Zhou, C., Wang, X., & Li, R. (2018) · International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2018/592 · Cited by 37

LIUM-CVC Submissions for WMT18 Multimodal Translation Task

Çağlayan, O., Bardet, A., Bougares, F., Barrault, L., Wang, K., Masana, M., Herranz, L., & van de Weijer, J. (2018) · Conference on Machine Translation (WMT) · doi:10.18653/v1/w18-6438 · Cited by 37

Answer-driven Deep Question Generation based on Reinforcement Learning

Wang, L., Xu, Z., Lin, Z., Zheng, H.-T., & Shen, Y. (2020) · International Conference on Computational Linguistics · doi:10.18653/v1/2020.coling-main.452 · Cited by 38

Generating dermatopathology reports from gigapixel whole slide images with HistoGPT

Tran, M., Schmidle, P., Guo, R. R., Wagner, S. J., Koch, V., Lupperger, V., Novotny, B., Murphree, D. H., Hardway, H. D., D’Amato, M., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-60014-x · Cited by 36

GVA: guided visual attention approach for automatic image caption generation

Hossen, M. B., Ye, Z., Abdussalam, A., & Hossain, M. I. (2024) · Multimedia Systems · doi:10.1007/s00530-023-01249-w · Cited by 36

CNX-B2: A Novel CNN-Transformer Approach For Chest X-Ray Medical Report Generation

Alqahtani, F. F., Mohsan, M. M., Alshamrani, K. A., Zeb, J., Alhamami, S. A., & Alqarni, D. (2024) · IEEE Access · doi:10.1109/access.2024.3367360 · Cited by 36

Hypertagging: Supertagging for Surface Realization with CCG

Espinosa, D., White, M., & Mehay, D. N. (2008) · Cited by 36

Video Description Generation using Audio and Visual Cues

Jin, Q., & Liang, J. (2016) · International Conference on Multimedia Retrieval · doi:10.1145/2911996.2912043 · Cited by 36

Evaluation of Arabic Machine Translation System Based on the Universal Networking Language

Adly, N., & Alansary, S. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-12550-8_20 · Cited by 36

HTLM: Hyper-Text Pre-Training and Prompting of Language Models

Aghajanyan, A., Okhonko, D., Lewis, M., Joshi, M., Xu, H., Ghosh, G., & Zettlemoyer, L. (2021) · arXiv · doi:10.48550/arxiv.2107.06955 · Cited by 35

Prior Knowledge-Guided Transformer for Remote Sensing Image Captioning

Meng, L., Wang, J., Yang, Y., & Xiao, L. (2023) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2023.3328181 · Cited by 38

Better Evaluation Metrics Lead to Better Machine Translation

Liu, C., Dahlmeier, D., & Ng, H. T. (2011) · Cited by 35

ViGGO: A Video Game Corpus for Data-To-Text Generation in Open-Domain Conversation

Juraska, J., Bowden, K. K., & Walker, M. A. (2019) · International Conference on Natural Language Generation · doi:10.18653/v1/w19-8623 · Cited by 35

Exploration and exploitation of multilingual data for statistical machine translation

Carter, S. (2012) · UvA-DARE (University of Amsterdam) · Cited by 35

Dialog System Technology Challenge 7Preprint

Yoshino, K., Hori, C., Pérez, J., D’Haro, L. F., Polymenakos, L., Gunasekara, C., Lasecki, W. S., Kummerfeld, J. K., Galley, M., Brockett, C., et al. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1901.03461 · Cited by 35

Intent-Based Infrastructure and Service Orchestration Using Agentic-AI

Brodimas, D., Birbas, A. N., Kapolos, D., & Denazis, S. (2025) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2025.3600706 · Cited by 34

German Compounds in Factored Statistical Machine Translation

Stymne, S. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-85287-2_44 · Cited by 34

TESLA: Translation Evaluation of Sentences with Linear-Programming-Based Analysis

Liu, C., Dahlmeier, D., & Ng, H. T. (2010) · Cited by 34

Performance of an online translation tool when applied to patient educational material

Khanna, R. R., Karliner, L., Eck, M., Vittinghoff, E., Koenig, C. J., & Fang, M. C. (2011) · Journal of Hospital Medicine · doi:10.1002/jhm.898 · Cited by 34

SoccerNet 2023 challenges results

Cioppa, A., Giancola, S., Somers, V., Magera, F., Zhou, X., Mkhallati, H., Deliège, A., Held, J., Hinojosa, C. A., Mansourian, A. M., et al. (2024) · Sports Engineering · doi:10.1007/s12283-024-00466-4 · Cited by 33

CyberRAG: An agentic RAG cyber attack classification and reporting tool

Blefari, F., Cosentino, C., Pironti, F. A., Furfaro, A., & Marozzo, F. (2025) · Future Generation Computer Systems · doi:10.1016/j.future.2025.108186 · Cited by 42

Appraise: An Open-Source Toolkit for Manual Phrase-Based Evaluation of Translations

Federmann, C. (2010) · Language Resources and Evaluation Conference (LREC) · doi:10.63317/5aj2568ubi3f · Cited by 33

Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation

Ferreira, T. C., Calixto, I., Wubben, S., & Krahmer, E. (2017) · International Conference on Natural Language Generation · doi:10.18653/v1/w17-3501 · Cited by 33

Deep Learning Image Captioning in Construction Management: A Feasibility Study

Xiao, B., Wang, Y., & Kang, S.-C. (2022) · Journal of Construction Engineering and Management · doi:10.1061/(asce)co.1943-7862.0002297 · Cited by 36

Multimodality information fusion for automated machine translation

Li, L., Tayir, T., Han, Y., Tao, X., & Velásquez, J. D. (2022) · Information Fusion · doi:10.1016/j.inffus.2022.10.018 · Cited by 35

Language Independent Connectivity Strength Features for Phrase Pivot Statistical Machine Translation

Kholy, A. E., Habash, N. Y., Leusch, G., Matusov, E., & Sawaf, H. (2013) · Cited by 32

Aspect and Sentiment Aware Abstractive Review Summarization

Yang, M., Qu, Q., Shen, Y., Liu, Q., Zhao, W., & Zhu, J. (2018) · International Conference on Computational Linguistics · Cited by 32

Memory-Augmented Image Captioning

Fei, Z. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v35i2.16220 · Cited by 32

Hybrid Reinforced Medical Report Generation With M-Linear Attention and Repetition Penalty

Xu, Z., Xu, W., Wang, R., Chen, J., Chang, Q., & Lukasiewicz, T. (2023) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2023.3343391 · Cited by 34

Learning performance of a machine translation system

Turchi, M., Bie, T. D., & Cristianini, N. (2008) · Conference on Machine Translation (WMT) · doi:10.3115/1626394.1626399 · Cited by 32

An Encoder-Decoder Based Audio Captioning System With Transfer and Reinforcement LearningPreprint

Mei, X., Huang, Q., Liu, X., Chen, G., Wu, J., Wu, Y., Zhao, J., Li, S., Ko, T., Tang, H., et al. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2108.02752 · Cited by 32

A Dual-Feature-Based Adaptive Shared Transformer Network for Image Captioning

Shi, Y., Xia, J., Zhou, M., & Cao, Z. (2024) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2024.3353830 · Cited by 31

An End-to-End Generative Architecture for Paraphrase Generation

Yang, Q., Huo, Z., Shen, D., Cheng, Y., Wang, W., Wang, G., & Carin, L. (2019) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/d19-1309 · Cited by 30

Cross-Lingual Image Caption Generation Based on Visual Attention Model

Wang, B., Wang, C., Zhang, Q., Su, Y. M., Wang, Y., & Xu, Y. (2020) · IEEE Access · doi:10.1109/access.2020.2999568 · Cited by 32

Reference-based model using multimodal gated recurrent units for image captioning

Nogueira, T. D. C., Vinhal, C. D. N., da Cruz, G., & Ullmann, M. R. D. (2020) · Multimedia Tools and Applications · doi:10.1007/s11042-020-09539-5 · Cited by 30

Assemble Foundation Models for Automatic Code Summarization

Gu, J., Salza, P., & Gall, H. C. (2022) · IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) · doi:10.1109/saner53432.2022.00112 · Cited by 34

EduQG: A Multi-Format Multiple-Choice Dataset for the Educational Domain

Hadifar, A., Bitew, S. K., Deleu, J., Develder, C., & Demeester, T. (2023) · IEEE Access · doi:10.1109/access.2023.3248790 · Cited by 35

Statistical Machine Translation into a Morphologically Complex Language

Oflazer, K. (2008) · Springer eBooks · doi:10.1007/978-3-540-78135-6_32 · Cited by 30

Improving phrase-based translation via word alignments from stochastic inversion transduction grammars

Saers, M., & Wu, D. (2009) · Workshop on Syntax and Structure in Statistical Translation (SSST) · doi:10.3115/1626344.1626348 · Cited by 30

The RWTH Aachen Machine Translation System for WMT 2010

Huck, M., Wuebker, J., Schmidt, C., Freitag, M., Peitz, S., Stein, D. J., Dagnelies, A., Mansour, S., Leusch, G., & Ney, H. (2010) · Cited by 30

Fast Image Caption Generation with Position AlignmentPreprint

Fei, Z. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1912.06365 · Cited by 30

Evaluation and Analysis of Large Language Models for Clinical Text Augmentation and Generation

Latif, A., & Kim, J. (2024) · IEEE Access · doi:10.1109/access.2024.3384496 · Cited by 32

A Dataset for Assessing Machine Translation Evaluation Metrics

Specia, L., Cancedda, N., & Dymetman, M. (2010) · Language Resources and Evaluation Conference (LREC) · doi:10.63317/2iotwi4xhg3p · Cited by 29

Understanding and Generating Ultrasound Image Description

Zeng, X., Liu, B., & Zhou, M. (2018) · Journal of Computer Science and Technology · doi:10.1007/s11390-018-1874-8 · Cited by 29

Ordinal and Attribute Aware Response Generation in a Multimodal Dialogue System

Chauhan, H., Firdaus, M., Ekbal, A., & Bhattacharyya, P. (2019) · Proceedings of the conference - Association for Computational Linguistics. Meeting · doi:10.18653/v1/p19-1540 · Cited by 29

Towards Unique and Informative Captioning of Images

Wang, Z., Feng, B. T., Narasimhan, K., & Russakovsky, O. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58571-6_37 · Cited by 29

Boot-Strapping a WordNet Using Multiple Existing WordNets

Bond, F., Isahara, H., Kanzaki, K., & Uchimoto, K. (2008) · Language Resources and Evaluation Conference (LREC) · doi:10.63317/4ejh98hk6235 · Cited by 29

Natural Language Generation in Dialogue using Lexicalized and Delexicalized DataPreprint

Sharma, S., He, J., Suleman, K., Schulz, H., & Bachman, P. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1606.03632 · Cited by 31

Chest X-Ray Report Generation Using Abnormality Guided Vision Language Model

Edirisinghe, D., Nimalsiri, W., Hennayake, M., Meedeniya, D., & Lim, G. (2025) · IEEE Access · doi:10.1109/access.2025.3606961 · Cited by 28

Evaluating LLM-based Agents for Multi-turn Conversations: A Survey

Guan, S., Wang, J., 渡辺, 将., Zhu, B., Lou, J., & Xiong, H. (2026) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/3793671 · Cited by 71

Using a Grammar Checker for Evaluation and Postprocessing of Statistical Machine Translation

Stymne, S., & Ahrenberg, L. (2010) · Language Resources and Evaluation Conference (LREC) · doi:10.63317/27f7h5poasoc · Cited by 28

Target Inference in Argument Conclusion Generation

Alshomary, M., Syed, S., Potthast, M., & Wachsmuth, H. (2020) · Proceedings of the conference - Association for Computational Linguistics. Meeting · doi:10.18653/v1/2020.acl-main.399 · Cited by 31

INSET: Sentence Infilling with INter-SEntential Transformer

Huang, Y., Zhang, Y., Elachqar, O., & Cheng, Y. (2020) · Proceedings of the conference - Association for Computational Linguistics. Meeting · doi:10.18653/v1/2020.acl-main.226 · Cited by 28

Partially Non-Autoregressive Image Captioning

Fei, Z. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v35i2.16219 · Cited by 28

Study and correlation analysis of linguistic, perceptual, and automatic machine translation evaluations

Farrús, M., Costa‐jussà, M. R., & Popović, M. (2011) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21674 · Cited by 28

AMBER: A Modified BLEU, Enhanced Ranking Metric

Chen, B., & Kühn, R. (2011) · NPARC · Cited by 28

Machine translation errors and the translation process: a study across different languages

Carl, M., & Báez, M. C. T. (2019) · The Journal of Specialised Translation · doi:10.26034/cm.jostrans.2019.179 · Cited by 28

On the Role of Scene Graphs in Image Captioning

Wang, D., Beck, D., & Cohn, T. (2019) · doi:10.18653/v1/d19-6405 · Cited by 28

BERT-hLSTMs: BERT and hierarchical LSTMs for visual storytelling

Su, J., Dai, Q., Guérin, F., & Zhou, M. (2020) · Computer Speech & Language · doi:10.1016/j.csl.2020.101169 · Cited by 28

Partially-Supervised Image CaptioningPreprint

Anderson, P., Gould, S. J., & Johnson, M. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1806.06004 · Cited by 29

MusCaps: Generating Captions for Music Audio

Manco, I., Benetos, E., Quinton, E., & Fazekas, G. (2021) · 2021 International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn52387.2021.9533461 · Cited by 36

Statistical machine translation enhancements through linguistic levels

Costa‐jussà, M. R., & Farrús, M. (2014) · ACM Computing Surveys · doi:10.1145/2518130 · Cited by 27

Stack-VS: Stacked Visual-Semantic Attention for Image Caption Generation

Cheng, L., Wei, W., Mao, X.-L., Liu, Y., & Miao, C. (2020) · IEEE Access · doi:10.1109/access.2020.3018752 · Cited by 28

Exploring Question-Specific Rewards for Generating Deep Questions

Xie, Y., Pan, L., Wang, D., Kan, M., & Feng, Y. (2020) · International Conference on Computational Linguistics · doi:10.18653/v1/2020.coling-main.228 · Cited by 30

A Knowledge-Grounded Multimodal Search-Based Conversational Agent

Agarwal, S., Dušek, O., Konstas, I., & Rieser, V. (2018) · doi:10.18653/v1/w18-5709 · Cited by 27

Image captioning via semantic element embedding

Zhang, X., He, S., Song, X., Lau, R. W. H., Jiao, J., & Ye, Q. (2019) · Neurocomputing · doi:10.1016/j.neucom.2018.02.112 · Cited by 28

Machine translation system combination with flexible word ordering

Heafield, K., Hanneman, G., & Lavie, A. (2009) · Conference on Machine Translation (WMT) · doi:10.3115/1626431.1626442 · Cited by 27

Active learning and crowdsourcing for machine translation in low resource scenarios

Carbonell, J., & Ambati, V. (2012) · Cited by 27

Attention-guided image captioning with adaptive global and local feature fusion

Zhong, X., Nie, G., Huang, W., Liu, W., Ma, B., & Lin, C. (2021) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2021.103138 · Cited by 26

Automatic Detection of Machine Translated Text and Translation Quality Estimation

Aharoni, R., Koppel, M., & Goldberg, Y. (2014) · Proceedings of the conference - Association for Computational Linguistics. Meeting · doi:10.3115/v1/p14-2048 · Cited by 26

Content Aware Source Code Change Description Generation

Loyola, P., Marrese-Taylor, E., Balazs, J., Matsuo, Y., & Satoh, F. (2018) · International Conference on Natural Language Generation · doi:10.18653/v1/w18-6513 · Cited by 26

Iterative Back Modification for Faster Image Captioning

Fei, Z. (2020) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3394171.3413901 · Cited by 26

Engineering LLM Powered Multi-Agent Framework for Autonomous CloudOps

Parthasarathy, K., Vaidhyanathan, K., Dhar, R., Krishnamachari, V., Kakran, A., Akshathala, S., Arun, S., Karan, A., Muhammed, B., Dubey, S., et al. (2025) · IEEE/ACM International Conference on AI Engineering – Software Engineering for AI (CAIN) · doi:10.1109/cain66642.2025.00031 · Cited by 28

ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models

Dognin, P., Padhi, I., Melnyk, I., & Das, P. (2021) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2021.emnlp-main.83 · Cited by 25

Online offensive behaviour in socialmedia: Detection approaches, comprehensive review and future directions

Chinivar, S., Roopa, M. S., Arunalatha, J. S., & Venugopal, K. R. (2022) · Entertainment Computing · doi:10.1016/j.entcom.2022.100544 · Cited by 25

REX: Reasoning-aware and Grounded Explanation

Chen, S., & Zhao, Q. G. (2022) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52688.2022.01514 · Cited by 27

Bundled Object Context for Referring Expressions

Li, X., & Jiang, S. (2018) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2018.2811621 · Cited by 25

Pretrained Language Models for Dialogue Generation with Multiple Input Sources

Cao, Y. H., Bi, W., Fang, M., & Tao, D. (2020) · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · doi:10.18653/v1/2020.findings-emnlp.81 · Cited by 27

PORT: a Precision-Order-Recall MT Evaluation Metric for Tuning

Chen, B., Kühn, R., & Larkin, S. (2012) · NPARC · Cited by 24

It’s not a Non-Issue: Negation as a Source of Error in Machine Translation

Hossain, M., Anastasopoulos, A., Blanco, E., & Palmer, A. (2020) · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · doi:10.18653/v1/2020.findings-emnlp.345 · Cited by 24

CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual Scenarios

Ye, Q., Yu, Z., Shao, R., Xie, X., Torr, P. H. S., & Cao, X. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72684-2_9 · Cited by 37

CASICT-DCU Participation in WMT2015 Metrics Task

Yu, H., Ma, Q., Wu, X., & Liu, Q. (2015) · Conference on Machine Translation (WMT) · doi:10.18653/v1/w15-3053 · Cited by 24

Discourse Structure in Machine Translation Evaluation

Joty, S., Guzmán, F., Màrquez, L., & Nakov, P. (2017) · Computational Linguistics · doi:10.1162/coli_a_00298 · Cited by 24

Neural Clinical Paraphrase Generation with Attention

Hasan, S. A., Liu, B., Liu, J., Qadir, A., Lee, K., Datla, V. V., Prakash, A., & Farri, O. (2016) · International Conference on Computational Linguistics · Cited by 24

Cross-domain aspect/sentiment-aware abstractive review summarization by combining topic modeling and deep reinforcement learning

Yang, M., Qu, Q., Shen, Y., Lei, K., & Zhu, J. (2018) · Neural Computing and Applications · doi:10.1007/s00521-018-3825-2 · Cited by 25

Phrase based statistical machine translation : models, search, training

Zens, R., & Ney, H. (2008) · RWTH Publications (RWTH Aachen) · Cited by 24

Abstractive text summarization model combining a hierarchical attention mechanism and multiobjective reinforcement learning

Sun, Y., & Platoš, J. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.123356 · Cited by 25

Results of the Multi-Domain Task-Completion Dialog Challenge

Li, J., Peng, B., Lee, S., Gao, J., Takanobu, R., Zhu, Q., Huang, M., Schulz, H., Atkinson, A., & Adada, M. (2020) · National Conference on Artificial Intelligence · Cited by 23

Learning to Ask More: Semi-Autoregressive Sequential Question Generation under Dual-Graph Interaction

Chai, Z., & Wan, X. (2020) · Proceedings of the conference - Association for Computational Linguistics. Meeting · doi:10.18653/v1/2020.acl-main.21 · Cited by 25

PASS: Perturb-and-Select Summarizer for Product Reviews

Oved, N., & Levy, R. (2021) · doi:10.18653/v1/2021.acl-long.30 · Cited by 24

A visual persistence model for image captioning

Wang, Y., Xu, J., & Sun, Y. (2021) · Neurocomputing · doi:10.1016/j.neucom.2021.10.014 · Cited by 23

Where did I leave my keys? — Episodic-Memory-Based Question Answering on Egocentric Videos

Bärmann, L., & Waibel, A. (2022) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw56347.2022.00162 · Cited by 29

METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments

Lavie, A., & Agarwal, A. (2005)

The Meteor metric for automatic evaluation of machine translation

Lavie, A., & Denkowski, M. (2009) · Machine Translation · doi:10.1007/s10590-009-9059-4 · Cited by 351

Meteor 1.3: Automatic Metric for Reliable Optimization and Evaluation of Machine Translation Systems

Denkowski, M., & Lavie, A. (2011) · Cited by 344

Meteor, m-bleu and m-ter: Evaluation Metrics for High-Correlation with Human Rankings of Machine Translation Output

Agarwal, A., & Lavie, A. (2008)

METEOR, M-BLEU and M-TER

Agarwal, A., & Lavie, A. (2008) · Conference on Machine Translation (WMT) · doi:10.3115/1626394.1626406 · Cited by 109