Invted Talks [Google Scholar, DBLP]

1. Robust & Efficient On-device Neural Text Representations via Projections
   The 7th Workshop on Noisy User-generated Text, November 2021
2. On-device Neural Conversational AI and Natural Language Understanding
   University of California Santa Cruz, October 2021
3. Fast and Small On-device Neural Networks for Natural Language Understanding & Conversational AI
   University of California Santa Cruz, October 2020
4. Conversational AI on the Edge
   Stanford University, October 2019
5. Efficient On-device Neural Models for Natural Language Processing
   Salesforce Research, April 2019
6. German-American Frontiers of Engineering
   GAFOE 2019, Germany, March 2019

7. On-device Neural Networks for Natural Language Processing
   ReWork Deep Learning Summit 2019, San Francisco, January 2019
8. Fast & Small On-device Neural Networks for Short Text Natural Language Processing
   MLPCD 2, NeurIPS, November 2018
9. Building Conversational Assistants Using Deep Learning
   CLIB Conference, Bulgaria, May 2018
10. Deep Learning Models for Conversational Assistants and Question Answering
    RIKEN, Tokyo, Japan, October 2017
11. Conversational Assistants with Deep Learning
    Data Day, Seattle, October 2017
12. Teaching Machines to Communicate with People Using Deep Learning
    IEEE Rock Stars of Machine Learning and Deep Learning, Santa Clara, September 2017
13. Natural Language Understanding for Amazon Alexa and AWS Lex[Youtube & SoundCloud]
    Interview with This Week in Machine Learning & AI, July 2017
14. Deep Learning for Natural Language Processing and Dialog Systems
    Association of Pattern Recognition and Image Analysis Summer School, Spain, July 2017
15. Natural Language Understanding for Conversational Assistants
    Machine Learning Innovation Summit, June 2017
16. What Do Users Want? Using Semantics to Predict User Intents at Scale
    ReWork Machine Intelligence Summit, March 2017
17. Creating Machines that Gain Knowledge like Humans
    Bulgarian Academy of Science, October 2016
18. What's in a Web Query? Understanding and Predicting User Intents
    University of Massachusetts, Machine Learning Seminar, October 2015
19. Multilingual Affect Polarity and Valence Prediction in Metaphors
    6th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis WASSA, Lisbon, September 2015
20. Multilingual Affect Polarity and Valence Prediction in Metaphors
    Social Media and Web Analytics Innovation, San Francisco, April 2015
21. Multilingual Sentiment Analysis of Metaphor-Rich Texts
    Sentiment Analysis Symposium, New York, May 2013
22. Knowledge Extraction and Taxonomization from the Web
    City University New York (CUNY), May 2013
23. Knowledge Acquisition from the Web & Social Media
    IUI 2013 conference, Santa Monica, March 2013
24. Learning and Inducing Lexical Taxonomies from Scratch
    UCLA, Los Angeles, January 2013
25. Web Knowledge Extraction and Applications
    RANLP 2011 conference, September 2011
26. Learning Arguments, Supertypes and Selectional Restrictions of Semantic Relations
    University of Utah, Salt Lake City, May 2011
27. Graph-based Knowledge Acquisition from the Web
    eBay, San Jose, February 2011
28. Cause-Effect Relation Learning using the Web as a Corpus
    Institute for Creative Technology (ICT), Marina del Rey, February 2011
29. Learning the Encyclopedia of the World using the Web
    University of Southern California (USC), Los Angeles, January 2011
30. Semantic Class Learning with Hyponym Pattern Linkage Graphs
    Plovdiv University, Bulgaria, January 2009
31. The Role and Resolution of Textual Entailment in Natural Language Processing
    University of Sheffield, United Kingdom, May 2007
32. Multilingual Named Entity Recognition
    Joint Research Center of European Commission, Italy, September 2005