Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 46

10821 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

Building a Knowledge-Based Dialogue System with Text Infilling — 2022 · Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue
C3PO: A Lightweight Copying Mechanism for Translating Pseudocode to Code — 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: Student Research Workshop
CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
CDialog: A Multi-turn Covid-19 Conversation Dataset for Entity-Aware Dialog Generation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
CGoDial: A Large-Scale Benchmark for Chinese Goal-oriented Dialog Evaluation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
CHAE: Fine-Grained Controllable Story Generation with Characters, Actions and Emotions — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
CHIA: CHoosing Instances to Annotate for Machine Translation — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
CLIP4IDC: CLIP for Image Difference Captioning — 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
CMCC: A Comprehensive and Large-Scale Human-Human Dataset for Dialogue Systems — 2022 · Proceedings of the Towards Semi-Supervised and Reinforced Task-Oriented Dialog Systems (SereTOD)
CMQA: A Dataset of Conditional Question Answering with Multiple-Span Answers — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
COMET-22: Unbabel-IST 2022 Submission for the Metrics Shared Task — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
COMET-QE and Active Learning for Low-Resource Machine Translation — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
COMMA: Modeling Relationship among Motivations, Emotions and Actions in Language-based Human Activities — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
COMPILING: A Benchmark Dataset for Chinese Complexity Controllable Definition Generation — 2022 · Proceedings of the 21st Chinese National Conference on Computational Linguistics
CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
CUNI Non-Autoregressive System for the WMT 22 Efficient Translation Shared Task — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
CUNI-KIT System for Simultaneous Speech Translation Task at IWSLT 2022 — 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)
CURIE: An Iterative Querying Approach for Reasoning About Situations — 2022 · Proceedings of the First Workshop on Commonsense Representation and Reasoning (CSRR 2022)
CVSS Corpus and Massively Multilingual Speech-to-Speech Translation — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation — 2022 · arXiv:2203.15319
Can Pretrained Language Models Generate Persuasive, Faithful, and Informative Ad Text for Product Descriptions? — 2022 · Proceedings of the Fifth Workshop on e-Commerce and NLP (ECNLP 5)
Can Synthetic Translations Improve Bitext Quality? — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Can We Use Word Embeddings for Enhancing Guarani-Spanish Machine Translation? — 2022 · Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages
Can the Translation Memory Principle Benefit Neural Machine Translation? A Series of Extensive Experiments with Input Sentence Annotation — 2022 · Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation
Candidate Soups: Fusing Candidate Results Improves Translation Quality for Non-Autoregressive Translation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
CapOnImage: Context-driven Dense-Captioning on Image — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Categorizing Semantic Representations for Neural Machine Translation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Challenges of Neural Machine Translation for Short Texts — 2022 · Computational Linguistics
Challenges with Sign Language Datasets for Sign Language Recognition and Translation — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
Chat Translation Error Detection for Assisting Cross-lingual Communications — 2022 · Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems
ChatMatch: Evaluating Chatbots by Autonomous Chat Tournaments — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Chinese Couplet Generation with Syntactic Information — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Chunk-based Nearest Neighbor Machine Translation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
CipherDAug: Ciphertext based Data Augmentation for Neural Machine Translation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Clean Text and Full-Body Transformer: Microsoft''s Submission to the WMT22 Shared Task on Sign Language Translation — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
Clickbait Spoiling via Question Answering and Passage Retrieval — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Cloze Evaluation for Deeper Understanding of Commonsense Stories in Indonesian — 2022 · Proceedings of the First Workshop on Commonsense Representation and Reasoning (CSRR 2022)
CoCoa: An Encoder-Decoder Model for Controllable Code-switched Generation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
CoDoNMT: Modeling Cohesion Devices for Document-Level Neural Machine Translation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
CoHS-CQG: Context and History Selection for Conversational Question Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
CoSe-Co: Text Conditioned Generative CommonSense Contextualizer — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
CodeExp: Explanatory Code Document Generation — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning — 2022 · arXiv:2207.01780
CoditT5: Pretraining for Source Code and Natural Language Editing — 2022 · arXiv:2208.05446
Cognitive Simplification Operations Improve Text Simplification — 2022 · Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)
Coherence boosting: When your pretrained language model is not paying enough attention — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Coherent Long Text Generation by Contrastive Soft Prompt — 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
Collaborative Reasoning on Multi-Modal Semantic Graphs for Video-Grounded Dialogue Generation — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
ComFact: A Benchmark for Linking Contextual Commonsense Knowledge — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Combine to Describe: Evaluating Compositional Generalization in Image Captioning — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
Commonsense and Named Entity Aware Knowledge Grounded Dialogue Generation — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Comparing BERT-based Reward Functions for Deep Reinforcement Learning in Machine Translation — 2022 · Proceedings of the 9th Workshop on Asian Translation
Comparing and combining tagging with different decoding algorithms for back-translation in NMT: learnings from a low resource scenario — 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality? — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Compiling a Highly Accurate Bilingual Lexicon by Combining Different Approaches — 2022 · Proceedings of Globalex Workshop on Linked Lexicography within the 13th Language Resources and Evaluation Conference
Complex Reading Comprehension Through Question Decomposition — 2022 · Proceedings of the 20th Annual Workshop of the Australasian Language Technology Association
Con-NAT: Contrastive Non-autoregressive Neural Machine Translation — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Concadia: Towards Image-Based Text Generation with a Purpose — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Consistent Human Evaluation of Machine Translation across Language Pairs — 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
Constrained Regeneration for Cross-Lingual Query-Focused Extractive Summarization — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Construction of Hierarchical Structured Knowledge-based Recommendation Dialogue Dataset and Dialogue System — 2022 · Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering
Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
Consultation Checklists: Standardising the Human Evaluation of Medical Note Generation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Industry Track
Content Type Profiling of Data-to-Text Generation Datasets — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Context-Aware Abbreviation Expansion Using Large Language Models — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Context-Tuning: Learning Contextualized Prompts for Natural Language Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Contextualizing Language Models for Norms Diverging from Social Majority — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Continuous Decomposition of Granularity for Neural Paraphrase Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Contrastive Learning enhanced Author-Style Headline Generation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Control Prefixes for Parameter-Efficient Text Generation — 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
Controllable Dictionary Example Generation: Generating Example Sentences for Specific Targeted Audiences — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Controllable Factuality in Document-Grounded Dialog Systems Using a Noisy Channel Model — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Controllable Fake Document Infilling for Cyber Deception — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Controlled Language Generation for Language Learning Items — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Industry Track
Controlling Extra-Textual Attributes about Dialogue Participants: A Case Study of English-to-Polish Neural Machine Translation — 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
Controlling Japanese Machine Translation Output by Using JLPT Vocabulary Levels — 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)
Controlling Translation Formality Using Pre-trained Multilingual Language Models — 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)
Cost-Effective Language Driven Image Editing with LX-DRIM — 2022 · Proceedings of the First Workshop on Performance and Interpretability Evaluations of Multimodal, Multipurpose, Massive-Scale Models
Counterfactual Recipe Generation: Exploring Compositional Generalization in a Realistic Scenario — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Cross-Lingual Open-Domain Question Answering with Answer Sentence Generation — 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Cross-modal Contrastive Attention Model for Medical Report Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Crosslingual Generalization through Multitask Finetuning — 2022 · arXiv:2211.01786
D4: a Chinese Dialogue Dataset for Depression-Diagnosis-Oriented Chat — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
DEEP: DEnoising Entity Pre-training for Neural Machine Translation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
DEER: Descriptive Knowledge Graph for Explaining Entity Relationships — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
DEMETR: Diagnosing Evaluation Metrics for Translation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
DIASER: A Unifying View On Task-oriented Dialogue Annotation — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
DISK: Domain-constrained Instance Sketch for Math Word Problem Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
DSM: Question Generation over Knowledge Base via Modeling Diverse Subgraphs with Meta-learner — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
DU-VLG: Unifying Vision-and-Language Generation via Dual Sequence-to-Sequence Pre-training — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
DaLC: Domain Adaptation Learning Curve Prediction for Neural Machine Translation — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
Data Augmentation using Transformers and Similarity Measures for Improving Arabic Text Classification — 2022 · arXiv:2212.13939