Computer Laboratory

Felix Hill

I am a third year PhD Student in the Computer Laboratory's Natural Language and Information Processing Group, supervised by Anna Korhonen. I have recently spent time working at the LISA lab, Montreal, with Yoshua Bengio.

My research applies results from cognitive psychology and neuroscience to build models that learn the meaning of words and concepts. I am particularly interested in approaches to abstraction in language and algorithms for learning abstract concepts.

Because cross-disciplinary work is not as common as it should be, I am a student organizer for the Cambridge Language Sciences initiative.

When I'm not doing worky stuff I like travelling, running, football, tennis and relaxing. I was also also Captain of the Cambridge University Stymies Golf Team, who enjoy doling out punishment to my former university.

I am a St John's College Benefactors' Scholar.

SimLex-999: A resource for the evaluation of semantic models

NEW! Crossword Question Answering and Reverse Dictionary Application



Selected* Publications


Journals

Hill, F. Cho, KH., Korhonen, A., and Bengio, Y. Learning to Understand Phrases by Embedding the Dictionary Preprint published on arXiv. arXiv:1504.00548 Evaluation resources Source code Demo

Hill, F. Reichart, R. Korhonen, A. SimLex-999: Evaluating Semantic Models with (Genuine) Similarity Estimation. Preprint published on arXiv. arXiv:1408:3456. Accompanying dataset.

Hill, F. Reichart, R. Korhonen, A. 2014. Multi-Modal Models for Concrete and Abstract Concept Meaning. Transactions of the Association for Computational Linguistics (TACL).

Hill, F. , Korhonen, A., & Bentz, C. 2013. A quantitative empirical analysis of the abstract/concrete distinction. Cognitive Science.

Bentz, C., Kiela, D., Hill, F. & Buttery, P. 2014. Zipf's law and the grammar of languages: A quantitative study of Old and Modern English parallel texts. Corpus Linguistics and Linguistic Theory.


Conference Proceedings

Hill, F. Cho, KH. Jean, S. Devin, C. Bengio, Y. 2014. Embedding Word Similarity With Neural Machine Translation. Workshop Paper at ICLR 2015 Download Embeddings Here

Hill, F. Cho, KH. Jean, S. Devin, C. Bengio, Y. 2014. Not All Neural Embeddings are Born Equal. NIPS Workshop on Learning Semantics. Demo Evaluation pairs

Hill, F. & Korhonen, A. 2014. Learning Abstract Concepts from Multi-Modal Data: Since You Probably Can't See What I Mean. EMNLP 2014. (Acceptance rate 29%.) VIDEO PRESENTATION

Kiela, D. & Hill, F. (joint first authors), Korhonen, A. & Clark, S. 2014. Improving multi-modal representations using image dispersion: Why less is sometimes more. ACL 2014. (Acceptance rate 26%.)

Hill, F. & Korhonen, A. 2014. Concreteness and subjectivity as dimensions of lexical meaning. ACL 2014. (Acceptance rate 26%.) VIDEO PRESENTATION

Hill, F., Kiela, D., & Korhonen, A. 2013. Concreteness and corpora: A theoretical and practical analysis. ACL-CMCL 2013. Cognitive Science Society Best Student Paper award (CMCL).

Hill, F., Korhonen, A., & Bentz, C. 2013. Large-scale empirical analyses of concreteness. CogSci 2012(Acceptance rate 28%).

Hill, F. 2012. Beauty before age: Applying subjectivity to English adjective ordering. NAACL-HLT Student Research Workshop 2012.

*I have selected all of them

Here is a CV