50:27

Translating Electronic Documents: A Low-Resource Story, with John Ortega

01:11:38

NLP Technology for Enterprise Legal ApplicationsUntitled

01:08:12

Training New Multilingual Foundation Models for Search & Classification

58:41

Automated Speech Recognition with Spark NLP

51:23

Why and How to Build a Distributed Search Engine, with Stan Srednyak

54:18

"Talk to me! Text2SQL conversations with your company’s data," with Janna Lipenkova

01:12:11

Data to Text and Sports Natural Language Generation (NLG) with Ehud Reiter & Jorge Costa, Arria NLG

01:11:18

How You.com Applies Spark + Hugging Face Transformers for Search at Scale

52:44

Pattern-Based Few-Shot Entity Disambiguation + Use Cases for Do It Yourself NLP

01:00:18

Scalable NLP & Speech Analytics with NVIDIA GPUs

44:18

Optimizing (NLP) Transformer Models for Performance

58:09

How to improve on BERT embeddings for long-form doc search

01:21:22

General Purpose Question-Answering with AI2's Macaw

01:15:33

NLU: 1 line of Python code for 4000+ state-of-the-art NLP models in 200+ languages

01:26:02

NERD: Better Named Entity Recognition and Detection

01:14:31

Compositional Natural Language Processing on Quantum Computers

01:09:07

Rules + Deep Learning: Why You Need Both for Strong Conversational AI, with Rachael Tatman, Rasa

01:13:29

Efficient Intent Detection with Deep Neural Networks

01:19:56

Aggregating Big Topic Models At Scale + Anacode's AI Trends&News Monitor

44:55

Amazon DataTuner: End-to-End Neural Data-to-Text Generation, with Isabel Groves and Hamza Harkous

01:14:56

Learning the Difference that Makes a Difference with Counterfactually Augmented Data, w/Zack Lipton

01:07:11

Three NLP Solution Spotlights: Aiera, Interflexion, StoryQube

01:17:06

Transformers 🤗 to Rule Them All? Under the Hood of the AI Recruiter Chatbot 🤖, with Keisuke Inoue

01:36:11

Emotion AI & NLP plus Spark NLP's Python Natural Language Understanding Library

01:28:34

A Hybrid ML/NLP Pipeline for Identifying Prescription Drug Abuse from Twitter

53:19

Accelerated Cloud NLP for COVID-19 Research Using ScispaCy and Dask

01:18:58

DeText: LinkedIn's Framework for Deep Natural Language Understanding

52:57

Deep Learning for NLP with Distributed Training + Hybrid NLP on Edge Computers

01:15:50

Extracting Personal Events from Dialogue, with Josh Eisenberg

01:03:22

How Jina Saves Your Time on Building Cloud-Native Neural Search Systems, with Dr. Han Xiao

01:18:56

Simple and Efficient Deep Learning for Natural Language Processing, with Moshe Wasserblat, Intel AI

01:22:32

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks, with Patrick Lewis, Facebook AI

01:23:45

Quantum Natural Language Processing, with Konstantinos Meichanetzidis

57:02

Spark NLP: State of the Art Natural Language Processing at Scale, with David Talby, John Snow Labs

38:43

Active Learning for NLP, with Robert Munro

01:10:27

Question Answering Beyond SQuAD: Larger Datasets and New Domains, with Branden Chan, deepset.ai

01:15:28

NLP At Planetary Scale: GDELT’s Language Understanding Datasets with Dr. Kalev Leetaru

58:25

The COVID-19 Open Research Dataset (CORD-19), with Lucy Lu Wang & Kyle Lo of Allen AI + Robert Peter

59:45

Automatic Learning of Lexical Relations + Computational Humor, NLP meetup April 13, 2020

48:08

Using Wikipedia and Wikidata for Natural Language Processing, with Gabriel Altay, Kensho, 3/26/2020