| Resources for building applications with Dependency Minimal Recursion Semantics A Copestake, G Emerson, MW Goodman, M Horvat, A Kuhnle, ... The 10th International Conference on Language Resources and Evaluation, 2016 | 24 | 2016 |
| SeedLing: Building and using a seed corpus for the Human Language Project G Emerson, L Tan, S Fertmann, A Palmer, M Regneri Proceedings of the 2014 Workshop on the Use of Computational Methods in the …, 2014 | 16 | 2014 |
| Functional Distributional Semantics G Emerson, A Copestake Representation Learning for Natural Language Processing (RepL4NLP), ACL workshop, 2016 | 14 | 2016 |
| SentiMerge: Combining sentiment lexicons in a Bayesian framework G Emerson, T Declerck Proceedings of the Workshop on Lexical and Grammatical Resources for …, 2014 | 12 | 2014 |
| Semantic Composition via Probabilistic Model Theory G Emerson, A Copestake The 12th International Conference on Computational Semantics (IWCS), 62-77, 2017 | 11 | 2017 |
| What are the Goals of Distributional Semantics? G Emerson Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 7 | 2020 |
| Computational linguistics and grammar engineering EM Bender, G Emerson Head-Driven Phrase Structure Grammar: The handbook, 2020 | 7 | 2020 |
| Functional Distributional Semantics: Learning Linguistically Informed Representations from a Precisely Annotated Corpus GET Emerson University of Cambridge, 2018 | 6 | 2018 |
| Variational Inference for Logical Inference G Emerson, A Copestake The Conference on Logic and Machine Learning in Natural Language (LaML), 53-62, 2017 | 6 | 2017 |
| Lacking Integrity: HPSG as a Morphosyntactic Theory G Emerson, A Copestake Proceedings of the 22nd International Conference on Head-Driven Phrase …, 2015 | 5 | 2015 |
| Words are Vectors, Dependencies are Matrices: Learning Word Embeddings from Dependency Graphs P Czarnowska, G Emerson, A Copestake Proceedings of the 13th International Conference on Computational Semantics …, 2019 | 3 | 2019 |
| Linguists Who Use Probabilistic Models Love Them: Quantification in Functional Distributional Semantics G Emerson Proceedings of Probability and Meaning 2020, 2020 | 2 | 2020 |
| Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional Semantics. G Emerson Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 2 | 2020 |
| Leveraging a semantically annotated corpus to disambiguate prepositional phrase attachment G Emerson, A Copestake Proceedings of the 11th International Conference on Computational Semantics, 1, 2015 | 2 | 2015 |
| Investigating Cross-Linguistic Adjective Ordering Tendencies with a Latent-Variable Model JY Leung, G Emerson, R Cotterell Proceedings of the 25th Conference on Empirical Methods in Natural Language …, 2020 | 1 | 2020 |
| Leveraging sentence similarity in natural language generation: Improving beam search using range voting S Borgeaud, G Emerson Proceedings of the Fourth Workshop on Neural Generation and Translation, 2020 | 1 | 2020 |
| Incremental Beam Manipulation for Natural Language Generation J Hargreaves, A Vlachos, G Emerson arXiv preprint arXiv:2102.02574, 2021 | | 2021 |
| Multiple Question Fronting without Relational Constraints. An Analysis of Russian as a Basis for Cross-Linguistic Modeling O Zamaraeva, G Emerson Proceedings of the 27th International Conference on Head-Driven Phrase …, 2020 | | 2020 |
| Bad Form: Comparing Context-Based and Form-Based Few-Shot Learning in Distributional Semantic Models J Van Hautte, G Emerson, M Rei Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource …, 2019 | | 2019 |
| Compositional semantics in a probabilistic framework G Emerson Distributional Semantics and Linguistic Theory (DSALT), ESSLLI workshop, 2016 | | 2016 |
Ann CopestakeProfessor of Computational Linguistics, University of CambridgeVerified email at cl.cam.ac.uk
