Blog
The latest from Google Research
ACL 2016 & Research at Google
Sunday, August 7, 2016
Posted by Slav Petrov, Research Scientist
This week, Berlin hosts the
2016 Annual Meeting of the Association for Computational Linguistics
(ACL 2016), the premier conference of the field of computational linguistics, covering a broad spectrum of diverse research areas that are concerned with computational approaches to natural language. As a leader in
Natural Language Processing
(NLP) and a Platinum Sponsor of the conference, Google will be on hand to showcase research interests that include syntax, semantics, discourse, conversation, multilingual modeling, sentiment analysis, question answering, summarization, and generally building better learners using labeled and unlabeled data, state-of-the-art modeling, and learning from indirect supervision.
Our systems are used in numerous ways across Google, impacting user experience in search, mobile, apps, ads, translate and more. Our work spans the range of traditional NLP tasks, with general-purpose syntax and semantic algorithms underpinning more specialized systems.
Our researchers are experts in natural language processing and machine learning, and combine methodological research with applied science, and our engineers are equally involved in long-term research efforts and driving immediate applications of our technology.
If you’re attending ACL 2016, we hope that you’ll stop by the booth to check out some demos, meet our researchers and discuss projects and opportunities at Google that go into solving interesting problems for billions of people. Learn more about Google research being presented at ACL 2016 below (Googlers highlighted in
blue
), and visit the Natural Language Understanding Team page at
g.co/NLUTeam
.
Papers
Generalized Transition-based Dependency Parsing via Control Parameters
Bernd Bohnet
,
Ryan McDonald
,
Emily Pitler
,
Ji Ma
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning
Yulia Tsvetkov, Manaal Faruqui,
Wang Ling (Google DeepMind)
,
Chris Dyer (Google DeepMind)
Morpho-syntactic Lexicon Generation Using Graph-based Semi-supervised Learning
(
TACL
)
Manaal Faruqui,
Ryan McDonald
,
Radu Soricut
Many Languages, One Parser
(
TACL
)
Waleed Ammar, George Mulcaire, Miguel Ballesteros,
Chris Dyer (Google DeepMind)
*
, Noah A. Smith
Latent Predictor Networks for Code Generation
Wang Ling (Google DeepMind)
,
Phil Blunsom (Google DeepMind)
,
Edward Grefenstette (Google DeepMind)
,
Karl Moritz Hermann (Google DeepMind)
,
Tomáš Kočiský (Google DeepMind)
,
Fumin Wang (Google DeepMind)
,
Andrew Senior (Google DeepMind)
Collective Entity Resolution with Multi-Focal Attention
Amir Globerson
,
Nevena Lazic
,
Soumen Chakrabarti,
Amarnag Subramanya
,
Michael Ringgaard
,
Fernando Pereira
Plato: A Selective Context Model for Entity Resolution
(
TACL
)
Nevena Lazic
,
Amarnag Subramanya
,
Michael Ringgaard
,
Fernando Pereira
WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia
Daniel Hewlett
,
Alexandre Lacoste
,
Llion Jones
,
Illia Polosukhin
,
Andrew Fandrianto
,
Jay Han
,
Matthew Kelcey
,
David Berthelot
Stack-propagation: Improved Representation Learning for Syntax
Yuan Zhang,
David Weiss
Cross-lingual Models of Word Embeddings: An Empirical Comparison
Shyam Upadhyay, Manaal Faruqui,
Chris Dyer (Google DeepMind)
,
Dan Roth
Globally Normalized Transition-Based Neural Networks
(Outstanding Papers Session)
Daniel Andor
,
Chris Alberti
,
David Weiss
,
Aliaksei Severyn
,
Alessandro Presta
,
Kuzman Ganchev
,
Slav Petrov
,
Michael Collins
Posters
Cross-lingual projection for class-based language models
Beat Gfeller
,
Vlad Schogol
,
Keith Hall
Synthesizing Compound Words for Machine Translation
Austin Matthews,
Eva Schlinger
*
, Alon Lavie,
Chris Dyer (Google DeepMind)
*
Cross-Lingual Morphological Tagging for Low-Resource Languages
Jan Buys,
Jan A. Botha
Workshops
1st Workshop on Representation Learning for NLP
Keynote Speakers include:
Raia Hadsell (Google DeepMind)
Workshop Organizers include:
Edward Grefenstette (Google DeepMind)
,
Phil Blunsom (Google DeepMind)
,
Karl Moritz Hermann (Google DeepMind)
Program Committee members include:
Tomáš Kočiský (Google DeepMind)
,
Wang Ling (Google DeepMind)
,
Ankur Parikh (Google)
,
John Platt (Google)
,
Oriol Vinyals (Google DeepMind)
1st Workshop on Evaluating Vector-Space Representations for NLP
Contributed Papers:
Problems With Evaluation of Word Embeddings Using Word Similarity Tasks
Manaal Faruqui, Yulia Tsvetkov, Pushpendre Rastogi,
Chris Dyer (Google DeepMind)
*
Correlation-based Intrinsic Evaluation of Word Vector Representations
Yulia Tsvetkov, Manaal Faruqui,
Chris Dyer (Google DeepMind)
SIGFSM Workshop on Statistical NLP and Weighted Automata
Contributed Papers:
Distributed representation and estimation of WFST-based n-gram models
Cyril Allauzen
,
Michael Riley
,
Brian Roark
Pynini: A Python library for weighted finite-state grammar compilation
Kyle Gorman
*
Work completed at CMU
↩
Labels
accessibility
ACL
ACM
Acoustic Modeling
Adaptive Data Analysis
ads
adsense
adwords
Africa
AI
AI for Social Good
Algorithms
Android
Android Wear
API
App Engine
App Inventor
April Fools
Art
Audio
Augmented Reality
Australia
Automatic Speech Recognition
AutoML
Awards
BigQuery
Cantonese
Chemistry
China
Chrome
Cloud Computing
Collaboration
Compression
Computational Imaging
Computational Photography
Computer Science
Computer Vision
conference
conferences
Conservation
correlate
Course Builder
crowd-sourcing
CVPR
Data Center
Data Discovery
data science
datasets
Deep Learning
DeepDream
DeepMind
distributed systems
Diversity
Earth Engine
economics
Education
Electronic Commerce and Algorithms
electronics
EMEA
EMNLP
Encryption
entities
Entity Salience
Environment
Europe
Exacycle
Expander
Faculty Institute
Faculty Summit
Flu Trends
Fusion Tables
gamification
Gboard
Gmail
Google Accelerated Science
Google Books
Google Brain
Google Cloud Platform
Google Docs
Google Drive
Google Genomics
Google Maps
Google Photos
Google Play Apps
Google Science Fair
Google Sheets
Google Translate
Google Trips
Google Voice Search
Google+
Government
grants
Graph
Graph Mining
Hardware
HCI
Health
High Dynamic Range Imaging
ICCV
ICLR
ICML
ICSE
Image Annotation
Image Classification
Image Processing
Inbox
India
Information Retrieval
internationalization
Internet of Things
Interspeech
IPython
Journalism
jsm
jsm2011
K-12
Kaggle
KDD
Keyboard Input
Klingon
Korean
Labs
Linear Optimization
localization
Low-Light Photography
Machine Hearing
Machine Intelligence
Machine Learning
Machine Perception
Machine Translation
Magenta
MapReduce
market algorithms
Market Research
materials science
Mixed Reality
ML
ML Fairness
MOOC
Moore's Law
Multimodal Learning
NAACL
Natural Language Processing
Natural Language Understanding
Network Management
Networks
Neural Networks
NeurIPS
Nexus
Ngram
NIPS
NLP
On-device Learning
open source
operating systems
Optical Character Recognition
optimization
osdi
osdi10
patents
Peer Review
ph.d. fellowship
PhD Fellowship
PhotoScan
Physics
PiLab
Pixel
Policy
Professional Development
Proposals
Public Data Explorer
publication
Publications
Quantum AI
Quantum Computing
Recommender Systems
Reinforcement Learning
renewable energy
Research
Research Awards
resource optimization
Responsible AI
Robotics
schema.org
Search
search ads
Security and Privacy
Self-Supervised Learning
Semantic Models
Semi-supervised Learning
SIGCOMM
SIGMOD
Site Reliability Engineering
Social Networks
Software
Sound Search
Speech
Speech Recognition
statistics
Structured Data
Style Transfer
Supervised Learning
Systems
TensorBoard
TensorFlow
TPU
Translate
trends
TTS
TV
UI
University Relations
UNIX
Unsupervised Learning
User Experience
video
Video Analysis
Virtual Reality
Vision Research
Visiting Faculty
Visualization
VLDB
Voice Search
Wiki
wikipedia
WWW
Year in Review
YouTube
Archive
2022
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2021
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2020
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2019
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2018
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2017
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2016
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2015
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2014
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2013
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2012
Dec
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2011
Dec
Nov
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2010
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2009
Dec
Nov
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2008
Dec
Nov
Oct
Sep
Jul
May
Apr
Mar
Feb
2007
Oct
Sep
Aug
Jul
Jun
Feb
2006
Dec
Nov
Sep
Aug
Jul
Jun
Apr
Mar
Feb
Feed
Follow @googleai
Give us feedback in our
Product Forums
.
