WeCNLP

Oct 30, 2:00PM to Oct 31, 3:00AM UTC

1219 people attended

Description Sponsors Schedule Posters and Sponsors

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Schedule

October 30, 2020 3:00pm 3:00PM– 3:30PM · Networking

Virtual Breakfast

Informal groups

2020-10-30T08:00:00Z 2020-10-30T08:30:00Z America/Los_Angeles Virtual+Breakfast https%3A%2F%2Fhopin.to%2Fevents%2Fwecnlp Hosted virtually on Hopin (link in the description)

October 30, 2020 3:30pm 3:30PM– 3:45PM · Stage

Introduction Talk

Opening introduction

2020-10-30T08:30:00Z 2020-10-30T08:45:00Z America/Los_Angeles Introduction+Talk https%3A%2F%2Fhopin.to%2Fevents%2Fwecnlp Hosted virtually on Hopin (link in the description)

October 30, 2020 3:45pm 3:45PM– 5:15PM · Stage

Invited Talks #1: Scalable, Multimodal NLP (I)

Invited talks session #1 on scalable, multimodal NLP (I): 8:45-9:15 Mei-Yuh Hwang; 9:15-9:45 Dhruv Batra; 9:45-10:15 Thamar Solorio

2020-10-30T08:45:00Z 2020-10-30T10:15:00Z America/Los_Angeles Invited+Talks+%231%3A+Scalable%2C+Multimodal+NLP+%28I%29 https%3A%2F%2Fhopin.to%2Fevents%2Fwecnlp Hosted virtually on Hopin (link in the description)

October 30, 2020 5:15pm 5:15PM– 5:30PM · Networking

Break

Informal groups

2020-10-30T10:15:00Z 2020-10-30T10:30:00Z America/Los_Angeles Break https%3A%2F%2Fhopin.to%2Fevents%2Fwecnlp Hosted virtually on Hopin (link in the description)

October 30, 2020 5:30pm 5:30PM– 7:00PM · Stage

Invited Talks #2: Privacy, Safety, Evaluation, Explainability

Invited talks session #2 on privacy, safety, federated learning, explainability: 10:30-11:00 Irina Rish; 11:00-11:30 Tom Yeh; 11:30-12:00 Sameer Singh

2020-10-30T10:30:00Z 2020-10-30T12:00:00Z America/Los_Angeles Invited+Talks+%232%3A+Privacy%2C+Safety%2C+Evaluation%2C+Explainability https%3A%2F%2Fhopin.to%2Fevents%2Fwecnlp Hosted virtually on Hopin (link in the description)

October 30, 2020 7:00pm 7:00PM– 8:00PM · Posters and Sponsors

Lunch/Posters (Group 1)

Group 1 posters

2020-10-30T12:00:00Z 2020-10-30T13:00:00Z America/Los_Angeles Lunch%2FPosters+%28Group+1%29 https%3A%2F%2Fhopin.to%2Fevents%2Fwecnlp Hosted virtually on Hopin (link in the description)

October 30, 2020 8:00pm 8:00PM– 9:00PM · Posters and Sponsors

Lunch/Posters (Group 2)

Group 2 posters

2020-10-30T13:00:00Z 2020-10-30T14:00:00Z America/Los_Angeles Lunch%2FPosters+%28Group+2%29 https%3A%2F%2Fhopin.to%2Fevents%2Fwecnlp Hosted virtually on Hopin (link in the description)

October 30, 2020 9:00pm 9:00PM– 9:30PM · Stage

Lightning Talks

Lightning talks for nominated posters

2020-10-30T14:00:00Z 2020-10-30T14:30:00Z America/Los_Angeles Lightning+Talks https%3A%2F%2Fhopin.to%2Fevents%2Fwecnlp Hosted virtually on Hopin (link in the description)

October 30, 2020 9:30pm 9:30PM–11:00PM · Stage

Invited Talks #3: Scalable, Multimodal NLP (II)

Invited talks session #3 on scalable, multimodal NLP (II): 2:30-3:00 Asli Celikyilmaz; 3:00-3:30 Hanna Hajishirzi; 3:30-4:00 Y-Lan Boureau

2020-10-30T14:30:00Z 2020-10-30T16:00:00Z America/Los_Angeles Invited+Talks+%233%3A+Scalable%2C+Multimodal+NLP+%28II%29 https%3A%2F%2Fhopin.to%2Fevents%2Fwecnlp Hosted virtually on Hopin (link in the description)

October 30, 2020 11:00pm 11:00PM–11:15PM · Networking

Break

Informal groups

2020-10-30T16:00:00Z 2020-10-30T16:15:00Z America/Los_Angeles Break https%3A%2F%2Fhopin.to%2Fevents%2Fwecnlp Hosted virtually on Hopin (link in the description)

October 30, 2020 11:15pm 11:15PM–12:45AM · Stage

Panel: NLP Research Post COVID-19

Panel: Jason Williams (moderator), Ruhi Sarikaya, Svitlana Volkova, Alex Rudnicky, Mona Diab

2020-10-30T16:15:00Z 2020-10-30T17:45:00Z America/Los_Angeles Panel%3A+NLP+Research+Post+COVID-19 https%3A%2F%2Fhopin.to%2Fevents%2Fwecnlp Hosted virtually on Hopin (link in the description)

October 31, 2020 12:45am 12:45AM– 1:00AM · Stage

Closing Remarks

Closing remarks and best paper annoucement

2020-10-30T17:45:00Z 2020-10-30T18:00:00Z America/Los_Angeles Closing+Remarks https%3A%2F%2Fhopin.to%2Fevents%2Fwecnlp Hosted virtually on Hopin (link in the description)

October 31, 2020 1:00am 1:00AM– 2:00AM · Networking

Virtual Happy Hour

2020-10-30T18:00:00Z 2020-10-30T19:00:00Z America/Los_Angeles Virtual+Happy+Hour https%3A%2F%2Fhopin.to%2Fevents%2Fwecnlp Hosted virtually on Hopin (link in the description)

The event is over

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WeCNLP

The third annual WeCNLP Summit is an opportunity to foster discussion and collaboration between NLP researchers in academia and industry.

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Importance of the Single-Span Task Formulation to Extractive Question-Answering

Marie-Anne Xu (Crystal Springs Uplands School)*; Rahul Khanna (University of Southern California)

Contextual Datetime Language Model Adaptation for Speech Recognition

Richard Diehl Martinez (Amazon)*; Scott Novotney (Amazon); Ivan Bulyko (Amazon); Andreas Stolcke (Amazon)

Bias Aware Training

Huiting Liu (Apple Inc.)*; Peter Grasch (Apple Inc.); Sachin Agarwal (Apple)

NLPStatTest: A Toolkit for Comparing NLP System Performance

Haotian Zhu (University of Washington)*; Denise P Mak (University of Washington ); Jesse A Gioannini (University of Washington); Fei Xia (University of Washington)

Streaming Models for Joint Speech Recognition and Translation

Orion Weller (Apple)*; Matthias Sperber (Apple); Christian Gollan (Apple); Joris Kluivers (Apple)

Consistent Transcription and Translation of Speech

Matthias Sperber (Apple)*; Hendra Setiawan (Apple); Christian Gollan (Apple); Udhyakumar Nallasamy (Apple); Matthias Paulik (Apple)

Unsupervised Multilingual Alignment using Wasserstein Barycenter

Xin Lian (University of Waterloo); Kshitij Jain (Amazon)*; Jakub Truszkowski (Borealis AI); Pascal Poupart (University of Waterloo); Yaoliang Yu (University of Waterloo)

Improving Slot Filling Reliability in a Commercial Spoken Personal Assistant

Eric Gu (Apple Inc. ); Deepanshu Gupta (Apple Inc. ); Jean-Philippe Fauconnier (Apple Inc. )*; Sid Patwardhan (Apple Inc. )

Improved Word Alignments via Shifted Alignment Training

Sarthak Garg (Apple Inc.)*; Stephan Peitz (Apple Inc.); Yi-Hsiu Liao (Apple); Ilya Chatsviorkin (Apple Inc.); Udhyakumar Nallasamy (Apple)

Revisiting Evaluation of Knowledge Base Completion Models

Pouya Pezeshkpour (UCI)*; Yifan Tian (UCI); Sameer Singh (University of California, Irvine)

Let's Go Camping: Development of a Novel Corpus of Negotiation Dialogues for Building Automatically Negotiating Agents

Kushal Chawla (University of Southern California)*; Jaysa Ramirez (Rollins College); Rene Clever (CUNY Lehman College); Gale Lucas (University of Southern California); Jonathan Gratch (Institute for Creative Technologies)

ETC: Encoding Long and Structured Inputs in Transformers

Joshua T Ainslie (Google LLC)*; Santiago Ontanon (Google LLC); Chris Alberti (Google); Vaclav Cvicek (Google LLC); Zach Fisher (Google LLC); Philip M Pham (Google Research); Anirudh Ravula (Google); Sumit Sanghai (Google LLC); Qifan Wang (Google Research); Li Yang (Google Research)

AUTOPROMPT: Eliciting Knowledge from Language Models with Automatically Generated Prompts

Taylor Shin (University of California Irvine); Yasaman Razeghi (University of California Irvine)*; Robert L Logan (UC Irvine); Eric Wallace (U.C. Berkeley); Sameer Singh (University of California, Irvine)

Entity Resolution by Clustering Contextualized Mention Embeddings

Robert L Logan (UC Irvine)*; Daniel Bikel (Google Research)

Automatic Extraction of Syntagmatic Relations for Word Sense Disambiguation

Alex Dodge (SDSU)*

LDA in the Wild: How Practitioners Develop Topic Models

Theo Bayard de Volo (Pitzer College); Alfredo Gomez (Harvey Mudd College); Tatsuki Kuze (Harvey Mudd College); Alexandra K Schofield (Harvey Mudd College)*

Self-Training for End-to-End Speech Translation

Juan Miguel Pino (Facebook)*; Qiantong Xu (Facebook AI Research); Xutai Ma (Johns Hopkins University); Javad Dousti (Facebook); Yun Tang (Facebook)

Two Three-stage Methods for Extreme Multi-label Classification

Yao Xuan (University of California, Santa Barbara/Facebook)*; Anna Sun (Facebook); Xing Zhou (Facebook); Aashu Singh (Facebook); Justin Zhang (Facebook); Annie Liu (Facebook)

Hierarchical Multi-label Classification using label embedding

Aashu Bishvnath Singh (Facebook)*; Qiaoying Huang (Rutgers University); Annie Liu (Facebook)

MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics

Anthony Chen (University of California, Irvine)*; Gabriel Stanovsky (Allen Institute for AI); Sameer Singh (University of California, Irvine); Matt Gardner (AI2)

Gradient-based Analysis of NLP Models is Manipulable

Junlin Wang (UCI)*; Jens Tuyls (UC Irvine); Sameer Singh (University of California, Irvine); Eric Wallace (U.C. Berkeley)

Finding Newness: Leveraging Memory Networks to Detect Document Novelty

Tirthankar Ghosal (IIT Patna)*; Vignesh Edithal (IIT Patna); Asif Ekbal (IIT Patna)

Leveraging Multi-Premise Inference for Document-Level Novelty Detection

Tirthankar Ghosal (IIT Patna)*; Tameesh Biswas (IIT Patna); Asif Ekbal (IIT Patna)

Tweeki: Linking Named Entities on Twitter to a Knowledge Graph

Bahareh Harandizadeh (University of California, Irvine)*; Sameer Singh (University of California, Irvine)

Understanding Psycho-Linguistic Dimensions of Phishing Using Large-Scale Language Models

Kayla Duskin (PNNL)*; Svitlana Volkova (Pacific Northwest National Laboratory)

Generative Models for Understanding Linguistic and Stylistic Properties of Deception

Emily G Saldanha (Pacific Northwest National Laboratory)*; Svitlana Volkova (Pacific Northwest National Laboratory)

Evaluating the Robustness of Neural Deception Detection Models against Linguistic Adversarial Attacks

Maria Glenski (Pacific Northwest National Laboratory)*; Ellyn Ayton (Pacific Northwest National Laboratory); Robin Cosbey (Pacific Northwest National Laboratory); Dustin Arendt (Pacific Northwest National Laboratory); Svitlana Volkova (Pacific Northwest National Laboratory)

Analyzing the Robustness of Neural Linguistic Deception Detection across Domains, Modalities, and Languages

Ellyn M Ayton (Pacific Northwest National Laboratory)*; Robin Cosbey (Western Washington University); Dustin Arendt (Pacific Northwest National Laboratory); Svitlana Volkova (Pacific Northwest National Laboratory); Maria Glenski (Pacific Northwest National Laboratory)

They, Them, Theirs: Rewriting with Gender-neutral English

Tony Sun (UC Santa Barbara)*; Kellie Webster (Google); William Yang Wang (UC Santa Barbara); Melvin Johnson (Google)

Large-scale Resource-efficient Models for Task-oriented Dialog with Augmentation and Distillation

Haoda Chu (Microsoft)*; Subhabrata Mukherjee (Microsoft Research); Minwoo Jeong (Microsoft); Ahmed Awadallah (Microsoft); Ming Wu (Microsoft)

Generating Natural Questions from Images for Multimodal Assistant

Alkeshkumar M Patel (Apple Inc.)*; Akanksha Bindal (Apple Inc.); Hadas Kotak (Apple Inc.); Christopher Klein (Apple Inc.); Jason Williams (Apple)

Multilingual Punctuation restoration using joint modeling transformer technique

Varnith Chordia (Palo Alto Research Center)*

Student Forcing Knowledge Distillation

Yi-Hsiu Liao (Apple)*; Udhyakumar Nallasamy (Apple)

Small Data FAQ Retrieval

Kathleen A Preddy (AllyO)*; Michael Baxter (AllyO)

Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm

Alicia Y. Tsai (University of California, Berkeley)*; Laurent El Ghaoui (UC Berkeley)

Semantic Complexity in End-to-End Spoken Language Understanding

Samridhi S Choudhary (Amazon)*

Multi-Variant Arabic Language Model for Keyboard Input

Hala Almaghout (Apple)*; Jerome Bellegarda (Apple Inc.); BRENT RAMERTH (APPLE); Giulia Pagallo (Apple)

Constraint-Based Data Collection for Evaluating Model Robustness

Stefan Larson (unaffiliated)*; Anthony Zheng (University of Michigan); Anish Mahendran (University of Michigan); Rishi Tekriwal (University of Michigan); Adrian Cheung (Clinc, Inc.); Eric Guldan (University of Michigan); Kevin Leach (University of Michigan); Jonathan K Kummerfeld (University of Michigan)

Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders

Terra Blevins (University of Washington; Facebook AI)*; Luke Zettlemoyer (University of Washington)

On the Evaluation of Machine Translation n-best Lists

Jacob Bremerman (University of Maryland)*; Huda Khayrallah (Johns Hopkins University); Douglas Oard (University of Maryland); Matt Post (Johns Hopkins University)

Bertrand-DR: Improving Text-to-SQL using a Discriminative Re-ranker

Amol Kelkar (Got It, Inc)*; Rohan Relan (Got It, Inc); Vaishali Bhardwaj (Got It, Inc); Saurabh Vaichal (Got It, Inc); Peter Relan (Got It, Inc)

Are Some Words Worth More than Others?

Shiran Dudy (OHSU)*; Steven Bedrick (OHSU)

Multilingual Named Entity Recognition in Tweets using Wikidata

Ramy Eskander (Columbia University); Peter Martigny (Twitter); SHUBHANSHU MISHRA (Twitter Inc.)*

SEMANTIC APPROACH TO AGENT ROUTING USING A HYBRID ATTRIBUTE-BASED RECOMMENDER SYSTEM

Anwitha Paruchuri (Accenture)*; Anshuma Chandak (Accenture)

Iterative Graph Traversal and Ranking for Question Answering

Madhulima Pandey (Sparrow Labs, Stanford University)*; Zhen Tan (Carnegie Mellon University); Manasi Joglekar (Carnegie Mellon University); Manish Pandey (Carnegie Mellon University)

RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models

Samuel I Gehman (University of Washington)*; Suchin Gururangan (Allen Institute for Artificial Intelligence); Maarten Sap (University of Washington); Yejin Choi (University of Washington); Noah A Smith (University of Washington and Allen Institute for AI)

Representing Numbers in Language Models

Avijit Thawani (University of Southern California)*; Jay Pujara (University of Southern California); Pedro Szekely (USC/ISI)

Best Practices for Data-Efficient Modeling in NLG: How to Train Production-Ready Neural Models with Less Data

Ankit Arun (Facebook); Soumya Batra (Facebook); Vikas Bhardwaj (Facebook); Ashwini Challa (Facebook); Pinar Donmez (Facebook); Peyman Heidari (Facebook)*; Hakan Inan (Facebook); Shashank Jain (Facebook); Anuj Kumar (Facebook Conversational AI); Shawn Mei (Facebook); Karthik Mohan (Facebook); Michael White (Ohio State University)

InDiE: Generation of complex database queries and API calls from natural language utterances

Amol Kelkar (Got It, Inc)*; Nachiketa Rajpurohit (Got It, Inc); Utkarsh Mittal (Got It, Inc); Peter Relan (Got It, Inc)

Improving Social Media Information Extraction using Multitask Multidataset Learning

SHUBHANSHU MISHRA (Twitter Inc.)*

Neural Databases

James Thorne (University of Cambridge)*; Majid Yazdani (Facebook); Marzieh Saeidi (Facebook); Sebastian Riedel (); Alon Y Halevy (Facebook)

PHOTON: A Robust Cross-Domain Text-to-SQL System

Victoria Lin (Salesforce)*; Jichuan Zeng (The Chinese University of Hong Kong); Caiming Xiong (Salesforce Research); Richard Socher (Salesforce); Steven Hoi (Salesforce)

Democratizing Conversational AI: A Human-Machine Collaborative Approach to Mixed-Initiative AI Chatbots

Michelle X Zhou (Juji)*; Huahai Yang (Juji, Inc.); Wenxi Chen (Juji, Inc.); Vi Tu (Juji, Inc.)

Self-Training for Compositional Neural NLG

Xintong Li (The Ohio State University)*; Michael White (Ohio State University)

Simulated Multiple Reference Training Improves Low-Resource Machine Translation

Huda Khayrallah (Johns Hopkins University)*; Brian Thompson (Johns Hopkins University); Matt Post (Johns Hopkins University); Philipp Koehn (Johns Hopkins University)

Social Bias Frames: Reasoning about Social and Power Implications of Language

Maarten Sap (University of Washington)*; Saadia Gabriel (University of Washington); Lianhui Qin (University of Washington); Dan Jurafsky (Stanford University); Noah A Smith (University of Washington and Allen Institute for AI); Yejin Choi (University of Washington)