My current projects focus on both fundamental NLP and its many real-life applications (ranging from text mining to machine translation and dialogue systems).
Some current areas of interest include:
- lexical and knowledge acquisition
- computational semantics and discourse
- domain, task and language adaptation / transfer
- machine learning / deep learning for NLP
- multilingual and low resource NLP
- multimodal NLP
- language grounding and cognitive modeling of language
- real-world applications of NLP (e.g. text mining and search, conversational AI, machine translation)
- NLP for biomedical and cognitive sciences
- NLP for social and global good
- Automatic Induction and Adaptation of Syntactic Structures for Improved Cross-Lingual NLP. Google Faculty Award (2019-2020)
- Building Multilingual Multi-Domain Dialogue Systems (2019-2023).
- LEXICAL - Lexical Acquisition across Languages. Funded by ERC (2015-2020)
- EF Education First Research Lab for Applied Language Learning. Funded by Education First (2015-2020)
- LION - Literature-based discovery for cancer biology. Funded by MRC (2015-2018)
- PheneBank - automatic extraction and validation of a database of human phenotype-disease associations from the scientific literature. Funded by MRC (2015-2018)
- ENRICH - Enriched phrasal representations for improved language understanding. Google Faculty Award (2015-2016)
- The Education First-Cambridge Learner Corpus of English - a data driven approach to second language learning. Funded by EF and Isaac Newton Trust (2010-2015).
- Developing Lexical Resources for Natural Language Processing Applications. University Research Fellowship. Funded by the Royal Society (2005-2014).
- PANACEA - Platform for Automatic, Normalized Annotation and Cost-Effective Acquisition of Language Resources for Human Language Technologies. Funded by EU FP7 (2010-2012).
- Lexical Acquisition for the Biomedical Domain. Funded by EPSRC (2009-2012).
- Developing Multilingual Technologies for Automatic Lexical Acquisition. Funded by Isaac Newton Trust (2010-2012).
- CRAB - Using Text Mining to Aid Cancer Risk Assessment. Funded by MRC, EU and FSA and FORMAS in Sweden (2008).
- COMPLEX - Computational Natural Language Processing and the Neuro-Cognition of Language. Co-funded by EPSRC, ESRC and MRC (2008-2011).
- Developing Multilingual Technologies for Automatic Lexical Acquisition. Funded by British Council (2008-2009).
- ACLEX - Accurate and Comprehensive Lexical Classification for Natural Language Processing Applications. Funded by EPSRC (2005-2008).
- Using Automatic Verb Classification to Aid Event Extraction. JSPS Postdoctoral Fellowship. Funded by the Japan Society for the Promotion of Science (2004-2005)