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ORCIDWilliam J. Byrne
William Byrne – Bill Byrne
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- affiliation: University of Cambridge, UK
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2020 – today
- 2024
[c155]Weizhe Lin, Jingbiao Mei, Jinghong Chen, Bill Byrne:
PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers. ACL (1) 2024: 5294-5316- [c154]Jingbiao Mei, Jinghong Chen, Weizhe Lin, Bill Byrne, Marcus Tomalin:
Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning. ACL (1) 2024: 5333-5347 - [c153]David Stap, Eva Hasler, Bill Byrne, Christof Monz, Ke Tran:
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities. ACL (1) 2024: 6189-6206 - [c152]Guangyu Yang, Jinghong Chen, Weizhe Lin, Bill Byrne:
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding. NAACL (Short Papers) 2024: 391-398 - [c151]Jinghong Chen, Weizhe Lin, Jingbiao Mei, Bill Byrne:
Control-DAG: Constrained Decoding for Non-Autoregressive Directed Acyclic T5 using Weighted Finite State Automata. NAACL (Short Papers) 2024: 508-518 - [c150]Dawei Zhu, Sony Trenous, Xiaoyu Shen, Dietrich Klakow, Bill Byrne, Eva Hasler:
A Preference-driven Paradigm for Enhanced Translation with Large Language Models. NAACL-HLT 2024: 3385-3403 - [i52]Weizhe Lin, Jingbiao Mei, Jinghong Chen, Bill Byrne:
PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers. CoRR abs/2402.08327 (2024) - [i51]Hakim Sidahmed, Samrat Phatale, Alex Hutcheson, Zhuonan Lin, Zhang Chen, Zac Yu, Jarvis Jin, Roman Komarytsia, Christiane Ahlheim, Yonghao Zhu, Simral Chaudhary, Bowen Li, Saravanan Ganesh, Bill Byrne, Jessica Hoffmann, Hassan Mansoor, Wei Li, Abhinav Rastogi, Lucas Dixon:
PERL: Parameter Efficient Reinforcement Learning from Human Feedback. CoRR abs/2403.10704 (2024) - [i50]Igor Sterner, Weizhe Lin, Jinghong Chen, Bill Byrne:
Few-Shot VQA with Frozen LLMs: A Tale of Two Approaches. CoRR abs/2403.11317 (2024) - [i49]Jinghong Chen, Weizhe Lin, Jingbiao Mei, Bill Byrne:
Control-DAG: Constrained Decoding for Non-Autoregressive Directed Acyclic T5 using Weighted Finite State Automata. CoRR abs/2404.06854 (2024) - [i48]Dawei Zhu, Sony Trenous, Xiaoyu Shen, Dietrich Klakow, Bill Byrne, Eva Hasler:
A Preference-driven Paradigm for Enhanced Translation with Large Language Models. CoRR abs/2404.11288 (2024) - [i47]David Stap, Eva Hasler, Bill Byrne, Christof Monz, Ke M. Tran:
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities. CoRR abs/2405.20089 (2024) - 2023
- [c149]Xiaoyu Shen, Akari Asai, Bill Byrne, Adrià de Gispert:
xPQA: Cross-Lingual Product Question Answering in 12 Languages. ACL (industry) 2023: 103-115 - [c148]Weizhe Lin, Rexhina Blloshmi, Bill Byrne, Adrià de Gispert, Gonzalo Iglesias:
LI-RAGE: Late Interaction Retrieval Augmented Generation with Explicit Signals for Open-Domain Table Question Answering. ACL (2) 2023: 1557-1566 - [c147]Weizhe Lin, Rexhina Blloshmi, Bill Byrne, Adrià de Gispert, Gonzalo Iglesias:
An Inner Table Retriever for Robust Table Question Answering. ACL (1) 2023: 9909-9926 - [c146]Weizhe Lin, Zhilin Wang, Bill Byrne:
FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering. EACL (Findings) 2023: 149-157 - [c145]Alexandru Coca, Bo-Hsiang Tseng, Weizhe Lin, Bill Byrne:
More Robust Schema-Guided Dialogue State Tracking via Tree-Based Paraphrase Ranking. EACL (Findings) 2023: 1413-1424 - [c144]Xiaoyu Shen, Svitlana Vakulenko, Marco Del Tredici, Gianni Barlacchi, Bill Byrne, Adrià de Gispert:
Neural Ranking with Weak Supervision for Open-Domain Question Answering : A Survey. EACL (Findings) 2023: 1691-1705 - [c143]Svitlana Vakulenko, Bill Byrne, Adrià de Gispert:
Uniform Training and Marginal Decoding for Multi-Reference Question-Answer Generation. ECAI 2023: 2378-2385 - [c142]Weizhe Lin, Jinghong Chen, Jingbiao Mei, Alexandru Coca, Bill Byrne:
Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering. NeurIPS 2023 - [c141]Alexandru Coca, Bo-Hsiang Tseng, Jinghong Chen, Weizhe Lin, Weixuan Zhang, Tisha Anders, Bill Byrne:
Grounding Description-Driven Dialogue State Trackers with Knowledge-Seeking Turns. SIGDIAL 2023: 444-456 - [i46]Jinghong Chen, Weizhe Lin, Bill Byrne:
Schema-Guided Semantic Accuracy: Faithfulness in Task-Oriented Dialogue Response Generation. CoRR abs/2301.12568 (2023) - [i45]Alexandru Coca, Bo-Hsiang Tseng, Weizhe Lin, Bill Byrne:
More Robust Schema-Guided Dialogue State Tracking via Tree-Based Paraphrase Ranking. CoRR abs/2303.09905 (2023) - [i44]Weizhe Lin, Zhilin Wang, Bill Byrne:
FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering. CoRR abs/2303.10699 (2023) - [i43]Xiaoyu Shen, Akari Asai, Bill Byrne, Adrià de Gispert:
xPQA: Cross-Lingual Product Question Answering across 12 Languages. CoRR abs/2305.09249 (2023) - [i42]Alexandru Coca, Bo-Hsiang Tseng, Jinghong Chen, Weizhe Lin, Weixuan Zhang, Tisha Anders, Bill Byrne:
Grounding Description-Driven Dialogue State Trackers with Knowledge-Seeking Turns. CoRR abs/2309.13448 (2023) - [i41]Weizhe Lin, Jinghong Chen, Jingbiao Mei, Alexandru Coca, Bill Byrne:
Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering. CoRR abs/2309.17133 (2023) - [i40]Junxiao Shen, John J. Dudley, Jingyao Zheng, Bill Byrne, Per Ola Kristensson:
Promptor: A Conversational and Autonomous Prompt Generation Agent for Intelligent Text Entry Techniques. CoRR abs/2310.08101 (2023) - [i39]Jingbiao Mei, Jinghong Chen, Weizhe Lin, Bill Byrne, Marcus Tomalin:
Improving hateful memes detection via learning hatefulness-aware embedding space through retrieval-guided contrastive learning. CoRR abs/2311.08110 (2023) - [i38]Guangyu Yang, Jinghong Chen, Weizhe Lin, Bill Byrne:
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding. CoRR abs/2311.08380 (2023) - 2022
- [c140]Tisha Anders, Alexandru Coca, Bill Byrne
:
uFACT: Unfaithful Alien-Corpora Training for Semantically Consistent Data-to-Text Generation. ACL (Findings) 2022: 2836-2841 - [c139]Danielle Saunders, Rosie Sallis, Bill Byrne:
First the Worst: Finding Better Gender Translations During Beam Search. ACL (Findings) 2022: 3814-3823 - [c138]Marco Del Tredici, Xiaoyu Shen, Gianni Barlacchi, Bill Byrne, Adrià de Gispert:
From Rewriting to Remembering: Common Ground for Conversational QA Models. ConvAI@ACL 2022: 70-76 - [c137]Gianni Barlacchi, Ivano Lauriola, Alessandro Moschitti, Marco Del Tredici, Xiaoyu Shen, Thuy Vu, Bill Byrne, Adrià de Gispert:
FocusQA: Open-Domain Question Answering with a Context in Focus. EMNLP (Findings) 2022: 5195-5208 - [c136]Weizhe Lin, Bill Byrne:
Retrieval Augmented Visual Question Answering with Outside Knowledge. EMNLP 2022: 11238-11254 - [c135]Tobias Domhan, Eva Hasler, Ke Tran, Sony Trenous, Bill Byrne, Felix Hieber:
The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation. NAACL-HLT 2022: 1861-1874 - [c134]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets. KaRS@RecSys 2022: 45-52 - [c133]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Transformer-Empowered Content-Aware Collaborative Filtering. KaRS@RecSys 2022: 53-64 - [i37]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Transformer-Empowered Content-Aware Collaborative Filtering. CoRR abs/2204.00849 (2022) - [i36]Marco Del Tredici, Xiaoyu Shen, Gianni Barlacchi, Bill Byrne, Adrià de Gispert:
From Rewriting to Remembering: Common Ground for Conversational QA Models. CoRR abs/2204.03930 (2022) - [i35]Tobias Domhan, Eva Hasler, Ke Tran, Sony Trenous, Bill Byrne, Felix Hieber:
The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation. CoRR abs/2205.06618 (2022) - [i34]Xiaoyu Shen, Svitlana Vakulenko, Marco Del Tredici, Gianni Barlacchi, Bill Byrne, Adrià de Gispert:
Low-Resource Dense Retrieval for Open-Domain Question Answering: A Comprehensive Survey. CoRR abs/2208.03197 (2022) - [i33]Weizhe Lin, Bill Byrne:
Retrieval Augmented Visual Question Answering with Outside Knowledge. CoRR abs/2210.03809 (2022) - 2021
- [j34]Marcus Tomalin, Bill Byrne, Shauna Concannon, Danielle Saunders, Stefanie Ullmann:
The practical ethics of bias reduction in machine translation: why domain adaptation is better than data debiasing. Ethics Inf. Technol. 23(3): 419-433 (2021) - [c132]Bo-Hsiang Tseng, Yinpei Dai, Florian Kreyssig, Bill Byrne:
Transferable Dialogue Systems and User Simulators. ACL/IJCNLP (1) 2021: 152-166 - [c131]Bill Byrne, Karthik Krishnamoorthi, Saravanan Ganesh, Mihir Sanjay Kale:
TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems. ACL/IJCNLP (1) 2021: 671-680 - [c130]Weizhe Lin, Bo-Hsiang Tseng, Bill Byrne:
Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking. EMNLP (1) 2021: 7871-7881 - [c129]Eva Hasler, Tobias Domhan, Jonay Trénous, Ke Tran, Bill Byrne, Felix Hieber:
Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation. EMNLP (1) 2021: 8470-8477 - [i32]Weizhe Lin, Bo-Hsiang Tseng, Bill Byrne:
Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking. CoRR abs/2104.04466 (2021) - [i31]Danielle Saunders, Rosie Sallis, Bill Byrne:
First the worst: Finding better gender translations during beam search. CoRR abs/2104.07429 (2021) - [i30]Bo-Hsiang Tseng, Yinpei Dai, Florian Kreyssig, Bill Byrne:
Transferable Dialogue Systems and User Simulators. CoRR abs/2107.11904 (2021) - 2020
- [c128]Danielle Saunders, Bill Byrne:
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem. ACL 2020: 7724-7736 - [c127]Danielle Saunders, Felix Stahlberg, Bill Byrne:
Using Context in Neural Machine Translation Training Objectives. ACL 2020: 7764-7770 - [c126]Danielle Saunders, Weston Feely, Bill Byrne:
Inference-only sub-character decomposition improves translation of unseen logographic characters. WAT@AAC/IJCNLPL 2020: 170-177 - [c125]Danielle Saunders, Bill Byrne:
Addressing Exposure Bias With Document Minimum Risk Training: Cambridge at the WMT20 Biomedical Translation Task. WMT@EMNLP 2020: 862-869 - [i29]Danielle Saunders, Bill Byrne:
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem. CoRR abs/2004.04498 (2020) - [i28]Danielle Saunders, Felix Stahlberg, Bill Byrne:
Using Context in Neural Machine Translation Training Objectives. CoRR abs/2005.01483 (2020) - [i27]Danielle Saunders, Rosie Sallis, Bill Byrne:
Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make It. CoRR abs/2010.05332 (2020) - [i26]Danielle Saunders, Bill Byrne:
Addressing Exposure Bias With Document Minimum Risk Training: Cambridge at the WMT20 Biomedical Translation Task. CoRR abs/2010.05333 (2020) - [i25]Danielle Saunders, Weston Feely, Bill Byrne:
Inference-only sub-character decomposition improves translation of unseen logographic characters. CoRR abs/2011.06523 (2020) - [i24]Andrew Caines, Helen Yannakoudakis, Helena Edmondson, Helen Allen, Pascual Pérez-Paredes, Bill Byrne, Paula Buttery:
The Teacher-Student Chatroom Corpus. CoRR abs/2011.07109 (2020) - [i23]Bill Byrne, Karthik Krishnamoorthi, Saravanan Ganesh, Mihir Sanjay Kale:
TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems. CoRR abs/2012.12458 (2020)
2010 – 2019
- 2019
- [c124]Danielle Saunders, Felix Stahlberg, Adrià de Gispert, Bill Byrne:
Domain Adaptive Inference for Neural Machine Translation. ACL (1) 2019: 222-228 - [c123]Felix Stahlberg, Bill Byrne:
The CUED's Grammatical Error Correction Systems for BEA-2019. BEA@ACL 2019: 168-175 - [c122]Zheng Yuan, Felix Stahlberg, Marek Rei, Bill Byrne, Helen Yannakoudakis:
Neural and FST-based approaches to grammatical error correction. BEA@ACL 2019: 228-239 - [c121]Bo-Hsiang Tseng, Marek Rei, Pawel Budzianowski, Richard E. Turner, Bill Byrne, Anna Korhonen:
Semi-Supervised Bootstrapping of Dialogue State Trackers for Task-Oriented Modelling. EMNLP/IJCNLP (1) 2019: 1273-1278 - [c120]Felix Stahlberg, Bill Byrne:
On NMT Search Errors and Model Errors: Cat Got Your Tongue? EMNLP/IJCNLP (1) 2019: 3354-3360 - [c119]Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Ben Goodrich, Daniel Duckworth, Semih Yavuz, Amit Dubey, Kyu-Young Kim, Andy Cedilnik:
Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset. EMNLP/IJCNLP (1) 2019: 4515-4524 - [c118]Felix Stahlberg, Christopher Bryant, Bill Byrne:
Neural Grammatical Error Correction with Finite State Transducers. NAACL-HLT (1) 2019: 4033-4039 - [c117]Filip Radlinski, Krisztian Balog, Bill Byrne, Karthik Krishnamoorthi:
Coached Conversational Preference Elicitation: A Case Study in Understanding Movie Preferences. SIGdial 2019: 353-360 - [c116]Danielle Saunders, Felix Stahlberg, Bill Byrne:
UCAM Biomedical Translation at WMT19: Transfer Learning Multi-domain Ensembles. WMT (3) 2019: 169-174 - [c115]Felix Stahlberg, Danielle Saunders, Adrià de Gispert, Bill Byrne:
CUED@WMT19: EWC&LMs. WMT (2) 2019: 364-373 - [i22]Felix Stahlberg, Christopher Bryant, Bill Byrne:
Neural Grammatical Error Correction with Finite State Transducers. CoRR abs/1903.10625 (2019) - [i21]Danielle Saunders, Felix Stahlberg, Adrià de Gispert, Bill Byrne:
Domain Adaptive Inference for Neural Machine Translation. CoRR abs/1906.00408 (2019) - [i20]Felix Stahlberg, Danielle Saunders, Adrià de Gispert, Bill Byrne:
Cued@wmt19: ewc&lms. CoRR abs/1906.05447 (2019) - [i19]Danielle Saunders, Felix Stahlberg, Bill Byrne:
UCAM Biomedical translation at WMT19: Transfer learning multi-domain ensembles. CoRR abs/1906.05786 (2019) - [i18]Felix Stahlberg, Bill Byrne:
The CUED's Grammatical Error Correction Systems for BEA-2019. CoRR abs/1907.00168 (2019) - [i17]Felix Stahlberg, Bill Byrne:
On NMT Search Errors and Model Errors: Cat Got Your Tongue? CoRR abs/1908.10090 (2019) - [i16]Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Daniel Duckworth, Semih Yavuz, Ben Goodrich, Amit Dubey, Andy Cedilnik, Kyu-Young Kim:
Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset. CoRR abs/1909.05358 (2019) - [i15]Bo-Hsiang Tseng, Marek Rei, Pawel Budzianowski, Richard E. Turner, Bill Byrne, Anna Korhonen:
Semi-supervised Bootstrapping of Dialogue State Trackers for Task Oriented Modelling. CoRR abs/1911.11672 (2019) - 2018
- [c114]Danielle Saunders, Felix Stahlberg, Adrià de Gispert, Bill Byrne:
Multi-representation ensembles and delayed SGD updates improve syntax-based NMT. ACL (2) 2018: 319-325 - [c113]Felix Stahlberg, Danielle Saunders, Gonzalo Iglesias, Bill Byrne:
Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation. AMTA (1) 2018: 208-216 - [c112]Felix Stahlberg, Danielle Saunders, Bill Byrne:
An Operation Sequence Model for Explainable Neural Machine Translation. BlackboxNLP@EMNLP 2018: 175-186 - [c111]Gonzalo Iglesias, William Tambellini, Adrià de Gispert, Eva Hasler, Bill Byrne:
Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment. NAACL-HLT (3) 2018: 106-113 - [c110]Eva Hasler, Adrià de Gispert, Gonzalo Iglesias, Bill Byrne:
Neural Machine Translation Decoding with Terminology Constraints. NAACL-HLT (2) 2018: 506-512 - [c109]Felix Stahlberg, Adrià de Gispert, Bill Byrne:
The University of Cambridge's Machine Translation Systems for WMT18. WMT (shared task) 2018: 504-512 - [i14]Felix Stahlberg, Danielle Saunders, Gonzalo Iglesias, Bill Byrne:
Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation. CoRR abs/1803.07204 (2018) - [i13]Gonzalo Iglesias, William Tambellini, Adrià de Gispert, Eva Hasler, Bill Byrne:
Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment. CoRR abs/1804.11324 (2018) - [i12]Danielle Saunders, Felix Stahlberg, Adrià de Gispert, Bill Byrne:
Multi-representation Ensembles and Delayed SGD Updates Improve Syntax-based NMT. CoRR abs/1805.00456 (2018) - [i11]Eva Hasler, Adrià de Gispert, Gonzalo Iglesias, Bill Byrne:
Neural Machine Translation Decoding with Terminology Constraints. CoRR abs/1805.03750 (2018) - [i10]Felix Stahlberg, Adrià de Gispert, Bill Byrne:
The University of Cambridge's Machine Translation Systems for WMT18. CoRR abs/1808.09465 (2018) - [i9]Felix Stahlberg, Danielle Saunders, Bill Byrne:
An Operation Sequence Model for Explainable Neural Machine Translation. CoRR abs/1808.09688 (2018) - 2017
- [j33]Eva Hasler, Adrià de Gispert, Felix Stahlberg, Aurelien Waite, Bill Byrne:
Source sentence simplification for statistical machine translation. Comput. Speech Lang. 45: 221-235 (2017) - [j32]Feroz Farazi, Craig Chapman, Pathmeswaran Raju, William Byrne:
Model-based documentation. Encycl. Semantic Comput. Robotic Intell. 1(1): 1630009:1-1630009:6 (2017) - [c108]Felix Stahlberg, Adrià de Gispert, Eva Hasler, Bill Byrne:
Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices. EACL (2) 2017: 362-368 - [c107]Felix Stahlberg, Eva Hasler, Danielle Saunders, Bill Byrne:
SGNMT - A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies. EMNLP (System Demonstrations) 2017: 25-30 - [c106]Felix Stahlberg, Bill Byrne:
Unfolding and Shrinking Neural Machine Translation Ensembles. EMNLP 2017: 1946-1956 - [c105]Lucas Sterckx, Jason Naradowsky, Bill Byrne, Thomas Demeester, Chris Develder:
Break it Down for Me: A Study in Automated Lyric Annotation. EMNLP 2017: 2074-2080 - [c104]Eva Hasler, Felix Stahlberg, Marcus Tomalin, Adrià de Gispert, Bill Byrne:
A Comparison of Neural Models for Word Ordering. INLG 2017: 208-212 - [i8]Felix Stahlberg, Bill Byrne:
Unfolding and Shrinking Neural Machine Translation Ensembles. CoRR abs/1704.03279 (2017) - [i7]Felix Stahlberg, Eva Hasler, Danielle Saunders, Bill Byrne:
SGNMT - A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies. CoRR abs/1707.06885 (2017) - [i6]Eva Hasler, Felix Stahlberg, Marcus Tomalin, Adrià de Gispert, Bill Byrne:
A Comparison of Neural Models for Word Ordering. CoRR abs/1708.01809 (2017) - [i5]Lucas Sterckx, Jason Naradowsky, Bill Byrne, Thomas Demeester, Chris Develder:
Break it Down for Me: A Study in Automated Lyric Annotation. CoRR abs/1708.03492 (2017) - 2016
- [c103]Felix Stahlberg, Eva Hasler, Aurelien Waite, Bill Byrne:
Syntactically Guided Neural Machine Translation. ACL (2) 2016 - [c102]Daniel Beck, Adrià de Gispert, Gonzalo Iglesias, Aurelien Waite, Bill Byrne:
Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization. HLT-NAACL 2016: 856-865 - [c101]Felix Stahlberg, Eva Hasler, Bill Byrne:
The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16. WMT 2016: 377-384 - [i4]Daniel Beck, Adrià de Gispert, Gonzalo Iglesias, Aurelien Waite, Bill Byrne:
Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization. CoRR abs/1604.05073 (2016) - [i3]Felix Stahlberg, Eva Hasler, Aurelien Waite, Bill Byrne:
Syntactically Guided Neural Machine Translation. CoRR abs/1605.04569 (2016) - [i2]Felix Stahlberg, Eva Hasler, Bill Byrne:
The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16. CoRR abs/1606.04963 (2016) - [i1]Felix Stahlberg, Adrià de Gispert, Eva Hasler, Bill Byrne:
Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices. CoRR abs/1612.03791 (2016) - 2015
- [j31]Krishna Sapkota, Pathmeswaran Raju, William J. Byrne, Craig Chapman:
Semantic Economic Models for Bioenergy Projects. Int. J. Semantic Comput. 9(3): 333-352 (2015) - [c100]Gonzalo Iglesias, Adrià de Gispert, Bill Byrne:
Transducer Disambiguation with Sparse Topological Features. EMNLP 2015: 2275-2280 - [c99]Matic Horvat, Ann A. Copestake, Bill Byrne:
Hierarchical Statistical Semantic Realization for Minimal Recursion Semantics. IWCS 2015: 107-117 - [c98]Aurelien Waite, Bill Byrne:
The Geometry of Statistical Machine Translation. HLT-NAACL 2015: 376-386 - [c97]Adrià de Gispert, Gonzalo Iglesias, Bill Byrne:
Fast and Accurate Preordering for SMT using Neural Networks. HLT-NAACL 2015: 1012-1017 - [c96]Krishna Sapkota, Pathmeswaran Raju, William Byrne, Craig Chapman:
Ontology-based economic models for bioenergy and biofuel projects. ICSC 2015: 397-404 - 2014
- [j30]