Title |
|---|
 |
 SBERT-WK: A Sentence Embedding Method by Dissecting BERT-based Word
ModelsIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2020 |
 BERT-of-Theseus: Compressing BERT by Progressive Module ReplacingConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Incorporating Visual Semantics into Sentence Representations within a
Grounded SpaceConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 Embedding Compression with Isotropic Iterative QuantizationAAAI Conference on Artificial Intelligence (AAAI), 2020 |
 ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine
Reading ComprehensionConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 COSTRA 1.0: A Dataset of Complex Sentence TransformationsInternational Conference on Language Resources and Evaluation (LREC), 2019 |
 Fiction Sentence Expansion and Enhancement via Focused Objective and
Novelty Curve SamplingIEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2019 |
 Towards robust word embeddings for noisy textsApplied Sciences (AS), 2019 |
 A Bilingual Generative Transformer for Semantic Sentence EmbeddingConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 Generalizing Natural Language Analysis through Span-relation
RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Sentence Meta-Embeddings for Unsupervised Semantic Textual SimilarityAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Adversarial NLI: A New Benchmark for Natural Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Sentence Embeddings for Russian NLUInternational Joint Conference on the Analysis of Images, Social Networks and Texts (AISNT), 2019 |
 Evaluation of Sentence Representations in PolishInternational Conference on Language Resources and Evaluation (LREC), 2019 |
 Exploring Multilingual Syntactic Sentence RepresentationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 Exploring the Limits of Transfer Learning with a Unified Text-to-Text
TransformerJournal of machine learning research (JMLR), 2019 |
 Discovering the Compositional Structure of Vector Representations with
Role Learning NetworksBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackBoxNLP), 2019 |
 Leveraging Hierarchical Representations for Preserving Privacy and
Utility in TextIndustrial Conference on Data Mining (IDM), 2019 |
 In Search for Linear Relations in Sentence Embedding SpacesConference on Theory and Practice of Information Technologies (TPIT), 2019 |
 Correlations between Word Vector SetsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 On Dimensional Linguistic Properties of the Word Embedding SpaceWorkshop on Representation Learning for NLP (RepL4NLP), 2019 |
 Retrofitting Contextualized Word Embeddings with ParaphrasesConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer
RepresentationsInternational Conference on Information and Knowledge Management (CIKM), 2019 |
 Efficient Sentence Embedding using Discrete Cosine TransformConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence
RepresentationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 EntEval: A Holistic Evaluation Benchmark for Entity RepresentationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 Sentence-BERT: Sentence Embeddings using Siamese BERT-NetworksConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word
Embedding LearningInternational Conference on Language Resources and Evaluation (LREC), 2019 |
 Scalable Attentive Sentence-Pair Modeling via Distilled Sentence
EmbeddingAAAI Conference on Artificial Intelligence (AAAI), 2019 |
 Multilingual Universal Sentence Encoder for Semantic RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Learning Compressed Sentence Representations for On-Device Text
ProcessingAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Unsupervised State Representation Learning in AtariNeural Information Processing Systems (NeurIPS), 2019 |
 Probing for Semantic Classes: Diagnosing the Meaning Content of Word
EmbeddingsAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Towards Lossless Encoding of SentencesAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 BoolQ: Exploring the Surprising Difficulty of Natural Yes/No QuestionsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2019 |
 Correlation Coefficients and Semantic Textual SimilarityNorth American Chapter of the Association for Computational Linguistics (NAACL), 2019 |
 What do you learn from context? Probing for sentence structure in
contextualized word representationsInternational Conference on Learning Representations (ICLR), 2019 |
