Prominent Research Directions in NLP Alexander Panchenko Assistant Professor for NLP
About myself: a decade of fun R&D in NLP • 2002-2008: Bauman Moscow State Technical University , Engineer in Information Systems, MOSCOW • 2008: Xerox Research Centre Europe , Research Intern, FRANCE • 2009-2013: Université catholique de Louvain , PhD in Computational Linguistics, BELGIUM • 2013-2015: Startup in SNA , Research Engineer in NLP , MOSCOW • 2015-2017: TU Darmstadt , Postdoc in NLP , GERMANY • 2017-2019: University of Hamburg , Postdoc in NLP , GERMANY
About myself: a decade of fun R&D in NLP • Publications in int’l conferences & journals: • ACL • EMNLP • EACL • ECIR • NLE • Best papers @ ReprLearn4NLP , SemEval’16 • Editor and co-chair : • Cambridge Natural Language Engineering (NLE) • Springer LNCS/CCIS: AIST conf. • PC : • ACL, NAACL, EMNLP , …
About myself: my expertise and past/present research foci • Lexical Semantics • Semantic similarity • Word sense disambiguation • Word/sense embedding • Taxonomy induction, • Frame induction, … • Argument mining • Graph clustering
About myself: my expertise and past/present research foci • Lexical Semantics • Semantic similarity • Word sense disambiguation • Word/sense embedding • Taxonomy induction, • Frame induction, … • Argument mining • Graph clustering
Past projects: PhD thesis (2013) • Semantic relatedness • Using large text collections to learn statistical models of distributional semantics • … with applications to short text categorization and search. • … EU project iCOP for categorization of texts. • http://panchenko.me/papers/ thesis.pdf
Past projects: PhD thesis (2013) • Semantic relatedness • Using large text collections to learn statistical models of distributional semantics • … with applications to short text categorization and search. • … EU project iCOP for categorization of texts. • http://panchenko.me/papers/ thesis.pdf
Past projects: ELIS-IT (2013) • Expertise Localization from Informal Sources & Information Technologies • Retrieval of skills from text (e.g. set of corporate documents) • http://cental.fltr.ucl.ac.be/ projects/elisit/index_EN.html •
Past projects: NLP for Social Network Analysis (2014) • Based on a start-up company specializing on SNA • Mining Facebook and VKontakte social networks. • Analysis of posts, groups, comments, … • … with respect to sentiment, topic, gender, age, etc. • … mostly for doing user segmentation and targeting.
Past projects: NLP for Social Network Analysis (2014) • Based on a start-up company specializing on SNA • Mining Facebook and VKontakte social networks. • Analysis of posts, groups, comments, … • … with respect to sentiment, topic, gender, age, etc. • … mostly for doing user segmentation and targeting.
Past projects: NLP for Social Network Analysis (2014) • Based on a start-up company specializing on SNA • Mining Facebook and VKontakte social networks. • Analysis of posts, groups, comments, … • … with respect to sentiment, topic, gender, age, etc. • … mostly for doing user segmentation and targeting.
Past projects: NLP for Social Network Analysis (2014) • Based on a start-up company specializing on SNA • Mining Facebook and VKontakte social networks. • Analysis of posts, groups, comments, … • … with respect to sentiment, topic, gender, age, etc. • … mostly for doing user segmentation and targeting. • … but also some linguistic studies.
Past projects: new/s/leak (2016) • Information extraction and interactive visualization of textual datasets for investigative data-driven journalism and eDiscovery • Data journalism • http://www.newsleak.io
Active research: Computational Semantics • Word sense disambiguation and induction • Entity Linking • Integration of knowledge bases into neural networks • Frame semantics
Active research: Computational Semantics • Word sense disambiguation and induction • Entity Linking • Integration of knowledge bases into neural networks • Frame semantics
Active research: Computational Semantics • Word sense disambiguation and induction • Entity Linking • Integration of knowledge bases into neural networks • Frame semantics
Active research: Computational Semantics • Word sense disambiguation and induction • Entity Linking • Integration of knowledge bases into neural networks • Frame semantics
Active research: (Comparative) Argument Mining • Sentiment analysis ++ • … not only opinions but also objective arguments. • … from text only. • Retrieve pros and cons to make some informed decisions.
Active research: (Comparative) Argument Mining • Sentiment analysis ++ • … not only opinions but also objective arguments. • … from text only. • Retrieve pros and cons to make some informed decisions.
Active research: (Comparative) Argument Mining • Sentiment analysis ++ • … not only opinions but also objective arguments. • … from text only. • Retrieve pros and cons to make some informed decisions. http://ltdemos.informatik.uni-hamburg.de/cam/
Active research: (Comparative) Argument Mining • Sentiment analysis ++ • … not only opinions but also objective arguments. • … from text only. • Retrieve pros and cons to make some informed decisions. http://ltdemos.informatik.uni-hamburg.de/cam/
Active research: (Comparative) Argument Mining
Active research: (Comparative) Argument Mining
Active research: (Comparative) Argument Mining
Active research: (Comparative) Argument Mining
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