@InProceedings{ ArmendarizEtAl20LREC, author = "Armendariz, Carlos S. and Purver, Matthew and Ul{\v{c}}ar, Matej and Pollak, Senja and Ljube{\v{s}}i{\'c}, Nikola and Robnik-{\v{S}}ikonja, Marko and Granroth-Wilding, Mark and Vaik, Kristiina", title = "{CoSimLex}: A Resource for Evaluating Graded Word Similarity in Context", booktitle = "Proceedings of the 12th Language Resources and Evaluation Conference ({LREC})", year = 2020, month = may, pages = "5880--5888", location = "Marseille, France", publisher = "European Language Resources Association", editor = "Calzolari, N. and others", annote = "ISBN 979-10-95546-34-4", isbn = "979-10-95546-34-4", url = "https://www.aclweb.org/anthology/2020.lrec-1.720", url = "https://arxiv.org/pdf/1912.05320.pdf", url = "http://www.eecs.qmul.ac.uk/~mpurver/papers/armendariz-et-al20lrec.pdf" } @InProceedings{ ArmendarizEtAl20SemEval, title = "{S}em{E}val-2020 Task 3: Graded Word Similarity in Context", author = "Armendariz, Carlos Santos and Purver, Matthew and Pollak, Senja and Ljube{\v{s}}i{\'c}, Nikola and Ul{\v{c}}ar, Matej and Vuli{\'c}, Ivan and Pilehvar, Mohammad Taher", booktitle = "Proceedings of the Fourteenth Workshop on Semantic Evaluation", pages = "36--49", month = dec, year = "2020", address = "Barcelona (online)", publisher = "International Committee for Computational Linguistics", url = "https://www.aclweb.org/anthology/2020.semeval-1.3", url = "http://www.eecs.qmul.ac.uk/~mpurver/papers/armendariz-et-al20semeval.pdf", annote = "ISBN 978-1-952148-31-6", isbn = "978-1-952148-31-6", abstract = "This paper presents the Graded Word Similarity in Context (GWSC) task which asked participants to predict the effects of context on human perception of similarity in English, Croatian, Slovene and Finnish. We received 15 submissions and 11 system description papers. A new dataset (CoSimLex) was created for evaluation in this task: it contains pairs of words, each annotated within two different contexts. Systems beat the baselines by significant margins, but few did well in more than one language or subtask. Almost every system employed a Transformer model, but with many variations in the details: WordNet sense embeddings, translation of contexts, TF-IDF weightings, and the automatic creation of datasets for fine-tuning were all used to good effect.", } @inproceedings{DelBosqueEtAl20SemDial, title = "Investigating the Semantic Wave in Tutorial Dialogues: An Annotation Scheme and Corpus Study on Analogy Components", author = "Del-Bosque-Trevino, Jorge and Hough, Julian and Purver, Matthew", booktitle = "Proceedings of the 24th {SemDial} Workshop on the Semantics and Pragmatics of Dialogue", month = jul, year = "2020", address = "Virtually at Brandeis, Waltham, New Jersey", publisher = "SEMDIAL", issn = "2308-2275", annote = "ISSN 2308-2275", url = "http://semdial.org/anthology/papers/Z/Z20/Z20-3005/", url = "http://www.eecs.qmul.ac.uk/~mpurver/papers/delbosque-et-al20semdial.pdf", } @InProceedings{GanEtAl2020AACLSRW, title = "A Review of Cross-Domain Text-to-{SQL} Models", author = "Gan, Yujian and Purver, Matthew and Woodward, John R.", booktitle = "Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop", month = dec, year = "2020", address = "Suzhou, China", publisher = "Association for Computational Linguistics", url = "https://www.aclweb.org/anthology/2020.aacl-srw.16", pages = "108--115", abstract = "WikiSQL and Spider, the large-scale cross-domain text-to-SQL datasets, have attracted much attention from the research community. The leaderboards of WikiSQL and Spider show that many researchers propose their models trying to solve the text-to-SQL problem. This paper first divides the top models in these two leaderboards into two paradigms. We then present details not mentioned in their original paper by evaluating the key components, including schema linking, pretrained word embeddings, and reasoning assistance modules. Based on the analysis of these models, we want to promote understanding of the text-to-SQL field and find out some interesting future works, for example, it is worth studying the text-to-SQL problem in an environment where it is more challenging to build schema linking and also worth studying combing the advantage of each model toward text-to-SQL.", } @Article{ GregoromichelakiEtAl20Acta, author = "Gregoromichelaki, Eleni and Howes, Christine and Purver, Matthew and Kempson, Ruth and Eshghi, Arash and Cann, Ronnie and Healey, Patrick G. T. and Mills, Gregory J.", title = "Completability vs (In)completeness", journal = "Acta Linguistica Hafniensia", month = oct, publisher = "Routledge", address = "", pages = "1-25", year = 2020, doi = "10.1080/03740463.2020.1795549", url = "https://doi.org/10.1080/03740463.2020.1795549", url = "http://www.eecs.qmul.ac.uk/~mpurver/papers/gregoromichelaki-et-al20acta.pdf", } @Article{ LauEtAl20TACL, title = "How Furiously Can Colourless Green Ideas Sleep? Sentence Acceptability in Context", author = "Lau, Jey Han and Armendariz, Carlos S. and Lappin, Shalom and Purver, Matthew and Shu, Chang", year = 2020, journal = "Transactions of the Association for Computational Linguistics", volume = 8, pages = "296-310", note = "Available as arXiV:2004.00881", issn = "2307-387X", doi = "10.1162/tacl_a_00315", url = "https://doi.org/10.1162/tacl_a_00315", url = "https://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00315", url = "https://arxiv.org/pdf/2004.00881.pdf", url = "http://www.eecs.qmul.ac.uk/~mpurver/papers/lau-et-al20tacl.pdf", }@InCollection{McGregorEtAl20Book, author="McGregor, Stephen and Purver, Matthew and Wiggins, Geraint", title="Metaphor Generation through Context Sensitive Distributional Semantics", booktitle="Producing Figurative Expression: Theoretical, experimental and practical perspectives", pages="419-448", year=2020, month=aug, series="Figurative Thought and Language", volume=10, editor="Barnden, John and Gargett, Andrew", publisher="John Benjamins", url="https://benjamins.com/catalog/ftl.10.15mcg", url="http://dx.doi.org/10.1075/ftl.10.15mcg", doi="10.1075/ftl.10.15mcg", isbn="9789027208033", issn="2405-6944", annote="ISBN 9789027208033 / ISSN 2405-6944", } @inproceedings{RohanianEtAl20Interspeech, title = "Multi-modal Fusion with Gating using Audio, Lexical and Disfluency Features for {A}lzheimer's Dementia Recognition from Spontaneous Speech", author = "Rohanian, Morteza and Hough, Julian and Purver, Matthew", booktitle = "Proceedings of {INTERSPEECH}", pages = "", month = oct, year = 2020, address = "Shanghai, China", publisher = "ISCA", issn = "1990-9772", note = "ISSN 1990-9772", doi = "10.21437/Interspeech.2020-2721", url = "http://www.eecs.qmul.ac.uk/~mpurver/papers/rohanian-et-al20interspeech.pdf", url = "http://doi.org/10.21437/Interspeech.2020-2721", } @Article{ ShekharEtAl20JLCL, title = "Automating News Comment Moderation with Limited Resources: Benchmarking in {C}roatian and {E}stonian", author = "Shekhar, Ravi and Pranji{\'c}, Marko and Pollak, Senja and Pelicon, Andra{\v{z}} and Purver, Matthew", year = 2020, journal = "Journal of Language Technology and Computational Linguistics", volume = 34, issue = 1, pages = "49-79", note = "Special Issue on Offensive Language", editor = "Ruppenhofer, Josef and Siegel, Melanie and Stru{\ss}, Julia Maria", issn = "2190-6858", url = "https://jlcl.org/content/2-allissues/1-heft1-2020/jlcl_2020-1_3.pdf", url = "http://www.eecs.qmul.ac.uk/~mpurver/papers/shekhar-et-al20jlcl.pdf", } @inproceedings{TabakPurver20EMNLPCOVID, title = "Temporal Mental Health Dynamics on Social Media", author = "Tabak, Tom and Purver, Matthew", booktitle = "Proceedings of the 1st Workshop on {NLP} for {COVID}-19 (Part 2) at {EMNLP} 2020", month = nov, year = "2020", address = "Online", publisher = "Association for Computational Linguistics", doi = "10.18653/v1/2020.nlpcovid19-2.7", url = "http://www.eecs.qmul.ac.uk/~mpurver/papers/tabak-purver20emnlpcovid.pdf", url = "https://www.aclweb.org/anthology/2020.nlpcovid19-2.7", url = "http://doi.org/10.18653/v1/2020.nlpcovid19-2.7", abstract = "We describe a set of experiments for building a temporal mental health dynamics system. We utilise a pre-existing methodology for distant- supervision of mental health data mining from social media platforms and deploy the system during the global COVID-19 pandemic as a case study. Despite the challenging nature of the task, we produce encouraging results, both explicit to the global pandemic and implicit to a global phenomenon, Christmas Depres- sion, supported by the literature. We propose a methodology for providing insight into tem- poral mental health dynamics to be utilised for strategic decision-making.", } @inproceedings{WrightPurver20ICCC, title = "Creative Language Generation in a Society of Engagement and Reflection", author = "Wright, George and Purver, Matthew", booktitle = "Proceedings of the 11th International Conference on Computational Creativity ({ICCC})", editor = "Cardoso, F. A. and Machado, P. and Veale, T. and Cunha, J. M.", month = sep, year = "2020", pages = "169-172", address = "Online / Coimbra, Portugal", publisher = "Association for Computational Creativity", isbn = "978-989-54160-2-8", annote = "ISBN 978-989-54160-2-8", url = "http://computationalcreativity.net/iccc20/papers/ICCC20_Proceedings.pdf", url = "http://www.eecs.qmul.ac.uk/~mpurver/papers/wright-purver20iccc.pdf", }