This group is for everyone in the New York area working in Natural Language Processing technologies and applications. Our meetings will provide opportunities to hear about and present innovative work and research, to learn about emerging technologies, network, and exchange ideas and brainstorm. Topics will include machine learning, computational linguistics, text analytics, speech processing, conversational systems, sentiment and emotion AI, and search and applications in finance, customer experience, online and social media, health sciences, and more.
Our February meetup speakers will be Adina Williams and Emily Dinan from Facebook AI Research (FAIR), speaking on Gender and Gender Debiasing in NLP: Two Case Studies from Facebook AI Research (NYC).
Doors will open at 6 pm for networking and refreshments and our program will start at 6:30 pm. RSVP here and you must also register with our host, General Assembly, at http://bit.ly/NLP25Feb20.
Adina's and Emily's abstract: Gender is an important aspect of language with both social and grammatical implications. At FAIR, we've been working on new ways to understand how the phenomenon of gender affects language, and also to mitigate the effect of the gender biases present in large scale datasets for NLP applications. In this talk, we summarize two recent projects, one of which evaluates gender bias in chit-chat generations, and the other of which measures how much meaning is contributed by grammatical gender on inanimate nouns in several languages. Taken together, these projects show how crucial it is to be mindful of socially relevant facts about language when doing NLP research.
Adina Williams is a postdoctoral researcher at Facebook AI Research. She received a PhD from New York University in Sept. 2018 with a focus on computational linguistics, NLP, neurolinguistics, and formal semantics and syntax. Emily Dinan is a research engineer at FAIR. She graduated with a master's degree in mathematics from the University of Washington in 2017. Her research interests include conversational AI, natural language processing, and fairness in these fields.
The Emotion AI Conference (http://emotionai20.com) offers an industry perspective on affective technologies, taking place March 30 in New York. Research speakers from tech firms (Microsoft Research, IBM, Intel), industry (Verizon, Audi, Barclays, Adidas, McCann Health), and academia and consulting will speak on application of natural language processing, voice tech, facial coding, and neuro methods to detect and apply emotion in and via social and online media, in-vehicle and in-lab, and conversational interfaces. Visit http://emotionai20.com for information, and use the ID code MEETUP for a 20% registration discount.