Her research interests span many aspects of natural language understanding, from syntactic parsing and grammar induction with linguistically expressive grammars to image description and entailment recognition. Boy, do we live in exciting times! As NAACL chair, I would strive to make sure our organization makes the most of the opportunities that present themselves as our membership and commercial interest in our work explode, while also addressing the challenges that come with this rapid growth and maturation of the field.
In particular, I would like to make sure that our conferences remain events that make it possible for newcomers and established members to meet, interact, and, well, form a community that they want to be a part of. It goes without saying that this should include anybody from the wide range of intellectual, national, and personal backgrounds that NA ACL attracts, regardless of whether they are students, faculty, government or industry researchers, or whether they consider themselves computational linguists or machine learning people, or which part of the Americas or the rest of the world they reside in.
I would also like to strengthen relations with our neighboring disciplines, so that we can share best practices, e. Finally, as the technologies we create become increasingly commodified, and receive more and more attention in the popular press, I believe that our community has an increasing responsibility to inform the general public both of the actual capabilities of the systems we create, and of the ethical issues that may arise in their deployment.
Colin Cherry is a Research Scientist at Google.
He received his Ph. His primary research area is machine translation, but he has also been known to venture into parsing, morphology and information extraction. The NAACL Secretary is responsible for helping to organize meetings, elections and general communications, including the website and social media. Going beyond that with social media raises the question of what role, if any, NAACL should play in promoting and commenting on general news about natural language technologies in North America.
This question is increasingly important as the impact of our technologies grows. As a board member, I would also like to continue to make our conferences family friendly. His research interests include automata theory, machine translation, semantic parsing, and machine learning.
He is currently a co-organizer of the SemEval workshop. When I was asked to run for this position, the first thing I thought of was how fun the job sounds. I actually enjoy the logistics and the satisfaction of getting everything into place, which I do a lot as a PI of several large grants and an instructor of a large class. I also have experience with ACL leadership positions. I really enjoyed the logistics and the satisfaction of getting everything into place.
I have plans for improving NAACL as treasurer while continuing the great work done by the current board. These efforts will help increase diversity in conference attendees and ensure that we have the financial stability we need.
Emily M. Bender is a Professor of Linguistics and an Adjunct Professor of Computer Science and Engineering at the University of Washington, where she has been a member of the faculty since Her primary research interests are in multilingual grammar engineering and deep linguistic processing. I believe that science flourishes to the extent that we foster reproducibility, the open exchange of ideas, inclusivity and communication across and within disciplines.
Her research focuses on computational pragmatics. She is one of the principal developers of the Stanford Dependencies and the Universal Dependencies representations. She served as an area chair for ACL In recent years, the NAACL board aimed at the improvement of the reviewing process and paper selection, a better integration between different disciplines, and the inclusion of all of the Americas.
By continuing to serve on the board, I can materialize the efforts started. I will continue to work to make this happen. Her current research includes work on computational models of dialogue interaction and conversational agents, statistical and expressive natural language generation, analysis of social phenomena in social media dialogue, and research on the analysis and generation of narratively structured texts.
She earned a B. This is an exciting time for the NLP community with the rapid growth and expansion in the field. In we will have around 65 area chairs with a guestimate of getting possibly more than submissions. The downside of this rapid growth is maintaining the quality of the conference, along with the potential for change in the culture and feeling of our community. This community has always been one of the most diverse sub-areas of computer science and that is something that is valuable: we have to work to maintain and nourish this diversity.
I will continue to support and work on the initiatives that recently resulted in changes to the ACL constitution to enforce more gender and geographical diversity and the establishment of the Women in NLP workshop.To protect your privacy, all features that rely on external API calls from your browser are turned off by default.
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Citation data Add a list of citing articles from to record detail pages. Tweets on dblp homepage Show tweets from on the dblp homepage.NAACL received long paper and short paper submissions for a total of papers. The conference accepted papers for a Synced has prepared a summary of the winning papers:. Notify me of follow-up comments by email. Notify me of new posts by email. Unlike recent language representation models Peters et al.
As a result, the pre-trained BERT representations can be fine-tuned with just one additional output layer to create state-of-the-art models for a wide range of tasks, such as question answering and language inference, without substantial task-specific architecture modifications. BERT is conceptually simple and empirically powerful. It obtains new state-of-the-art results on eleven natural language processing tasks, including pushing the GLUE benchmark to This method leverages the societal biases that are encoded in word embeddings, eliminating the need for access to protected attributes.
We evaluate two variations of our proposed method using a large-scale dataset of online biographies. Our results show that under limited textual context, models are capable of leveraging the visual input to generate better translations.
This contradicts the current belief that MMT models disregard the visual modality because of either the quality of the image features or the way they are integrated into the model.
To capture common sense beyond associations, we extract from ConceptNet Speer et al. Crowd-workers are asked to author multiple-choice questions that mention the source concept and discriminate in turn between each of the target concepts.
This encourages workers to create questions with complex semantics that often require prior knowledge. We create 12, questions through this procedure and demonstrate the difficulty of our task with a large number of strong baselines.
North American Chapter of the Association for Computational Linguistics (NAACL)
Like this: Like Loading Comment Name Email Website Notify me of follow-up comments by email. Previous Post. Next Post.Professional Conduct committee built to handle the complaints raised by the AHP. Roughly 10 members on committee, trained in mediation.
People on committee serve renewable three-year terms. Jon: are we going to change the instructions for how to handle AHP complaints.Physio redlands
A: People come to the exec, exec directs them to the professional conduct committee. David: how many complaints? A: not many over all. David: how is it enforced? A: stick very close to the AHP for formal sanctions, needs to be on a conference site.
Jon: social activities associated with an event are also under the AHP? A: Yes. Even social events. Expect annual calls for participation. Working on an enhanced conflict of interest policy for publications.Carbide insert fly cutter
TODO: Raise issue of whether we place a restriction on where you will be attending university next year Emerging Regions Fund Marie 10 submissions on par with previous years Criteria for selection: Number of people impacted by award Geography Novelty We selected 3 recipients similar to last year Marie raised issue of increasing funding for ERF.
A: Yes for ERF. Details in slides. ERF money goes quite far. Lyn: What about who we turn down? Typically turn down individual travel, or to fly down experts. Some examples given, mostly spreading money to new sites. Matt Post working on getting videos moved to a new home.
Diversity and Inclusion report Priscilla Lots of ideas clawed back due to cost; cut back on captioning. Microsoft Will Lewis is now doing captioning for free; seems to be working. Quiet room, prayer room, nursing room, child care room. Ballroom for mentoring. Mentoring breakfast was very popular, as was mentoring in general. In every other country, you have to pay for every room at least for conference hotels.
Nursing room not used yet. This year, we provided a childcare room with toys and books, etc. Also stickers cheap. Box at registration table with toys and games Kids get to keep toys avoids storing and shipping. Expecting after conference: Reimbursing travel awardees will be the bulk of the costs. We have thus far provided services as needed.
Emily: nursing room is very important for a nursing mother. Marie: nursing room could be a hotel room - Priscilla says that could work. Priscilla: contracted for assistance for site and hearing impaired attendees, but was able to get out of it when no attendees required assistance. Marie: post-conference survey, ask people what they found valuable and what they used?
Registration asked if you were planning to bring your child yes, maybe, no.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again. Note that this repository uses submodules so to properly check out the submodule code, run git submodule init and git submodule update after you clone the repository.
You will need the submodule to generate the schedule for the app.Sec599 coin
The following instructions are for the conference app chair who should be an admin on Whova EMS Event Management System for the corresponding conference event. The app chair is automatically given admin access assuming they are the one who negotiated communicated with Whova.
NAACL 2019 | Google BERT Wins Best Long Paper
Usually, they are also given admin access to the previous year's event to figure out how things were done the year before, which is quite helpful. This includes the following information:. Sponsors need to be added manually unlike GuideBook where they could be added as a custom list programmatically by using a zip file of images.
To add a sponsor, go to the "Sponsor Banner" section under the "Event Content" tab and click on the "Add Sponsor" button. Fill out the information that is asked for in the pop-up and use the same logo that was used for the website. Although Whova has some logos that it offers up for the more famous companies, they might not be consistent or hi-res enough.
Click "Save" to save the information for this sponsor. Repeat this process for all other sponsors manually. Whova has a nice interface for adding floormaps. Then click on "Set Up Floor Map" which will open a pop-up. You will need to obtain the actual floor maps for the venue from Priscilla which are usually PDF. For each location you added, click on the little map pin icon next to its name in the list that and then click on the corresponding location on the floor map to place a pin there.
Although Whova provides an explicit way to provide "Logistics" — the "Logistics" section under the "Event Content" tab in the Whova EMS — an easier way might be to just add a new resource under "Additional Resources" and point it to the "Participants" page on the conference website.
Since the NAACL website is responsive and provides a table of contents, this is a pretty good option and that's what we used. If you end up using the explicit Logistics section, you will need to provide HTML content to show under it by clicking on the "Create a new logistic from scratch" option and then clicking on "Add Logistics".
For most events on Whova, a user needs to not only have a Whova account but that Whova account must explicitly be part of the attendees list for that event. In order for a user to become an attendee for an event, one of the following must be true:. The email that they used to sign up for Whova must explicitly be on the pre-populated list of attendees if the app chair sets that up on the Whova EMS.
They must know the secret access code for the event that only the app chair can see on the Whova EMS.Hollywood porn movie hindi dubbed filmyzilla
They request access to the event through the Whova app and their request is explicitly approved by the app chair via the Whova EMS.
This will provide an Excel template that can be populated using the information from Priscilla and uploaded to Whova. We get the spreadsheet of folks who have registered for the conference from Priscilla and then massage that spreadsheet into this Whova template.
Some users might use a different email for conference registration and a different one for Whova, so option 3 is also likely to be quite popular among such users.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again. This repository contains the data files and processing code that are used to prepare the data used to populate the schedules in both the NAACL official website as well as the official Whova app.
This is a separate repository since it makes it much easier to use it as a git submodule in both the website as well as the app repositories. This will allow syncing any changes in the data files much easier. The contents of this repository live under two main directories: code and data. In order to run the code in this repository, you first need to create a conda environment. First you should install miniconda.
Once you have it installed, run the following to create the Python environment:. This will create a conda environment called naacl which you will need to "activate" before running any of the code. To activate this environment, run:. Although most of the process for producing the data files needed for the schedule is automated, there is a manual part as well. This script extracts the relevant files from the data files that are provided by the NAACL pub chairs. The pub chairs provided a directory on Google Drive containing the following files:.
This will create a data directory at the same level as the code directory. This directory will contain three sub-directories: xmlordermapping. These sub-directories contain the following files:. Note : This script is only meant to be run one time ; after the first run manual changes may be made to the order and XML files which will get overwritten if this script is run again.
It is simpler to have a single order file representing the entirety of the main conference including main track papers, industry track papers, demo papers, and SRW papers.
To do so, I did the following:.Wurlitzer zodiac jukebox parts
Take the order file provided by the program chairs. However, this file does not contain the themes for the poster sessions. Therefore, we need to start with the order file provided by the PCs which does contain this information. Let's denote this file as M.
Any changes needed subsequent to this should be made directly to this file. Other changes might include adding the social event as a plenary session, removing the names of keynote speakers from the session titles see section below for additional plenary session dataetc.
For most of the items in any event schedule, the titles, authors, and abstracts are supposed to be provided by the ACL anthology XML files e. However, there are instances when the anthology does not contain all of the items in the event schedule. For the main conference, an example is TACL papers that have been chosen by their authors to be presented at the conference.
Such papers may show in the anthology on time and, therefore, their titles and authors may not be included in the XML file. Another example is non-archival papers for various student research workshop SRW. They may be included as posters in the schedule but their metadata is, again, not included in the XML file since they are non-archival.
Similarly, other workshops also might have such non-archival papers in their programs. Therefore, such files might be needed for them as well. The IDs should be the same as they are in the corresponding order files for the main conference, this will be the manually combined order file above and TACL paper IDs should have the -tacl suffix, SRW ones should have the -srw suffix, etc.
Any changes for these papers should be made directly to these files.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.
If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again. This paper proposes a two-stage tagging scheme for joint extraction of entities and relations.
This paper combines direct supervision and distant supervision.
NAACL 2019 Highlights
It innovatively uses direct supervision for training sigmoid attention in a multi-task way. After combining the supervised sigmoid attention, this paper become a new sota. In this paper, we have proposed a neural network with intra-bag and inter-bag attentions to cope with the noisy sentence and noisy bag problems in distant supervision relation extraction.
First, relation-aware bag representations are calculated by a weighted sum of sentence embeddings where the noisy sentences are expected to have smaller weights. Further, an inter-bag attention module is designed to deal with the noisy bag problem by calculating the bag-level attention weights dynamically during model training. In this paper, we have presented RbSP, a novel representation of relation between two nominals in a sentence that overcomes the disadvantages of traditional SDP.
Our RbSP is created by using multilayer attention to choose relevant information to augment a token in SDP from its child nodes. To alleviate the effect of false negative instances, there are two possible ways. One is improving the accuracy of the automatically labeled dataset, and the other is properly leveraging unlabeled instances which cannot be labeled as positive or negative. We assume that if an entity is relevant to another entity, its name is possibly mentioned in the description of the other entity.
As there only has limited data for long tail relation, this paper leverage the pretrained KG embedding together with GCN for the long tail relations. This paper innovatively use a tree-like relation representation.
I recommend this paper is because the long tail relation problem is very important. The method is not recommended. This paper considers multi-hop relation extraction, which constructs a fully-connected graph for all entities in a sentence.
Experiments show that modeling entity-relation as a graph signifcantly improves the performance. In this paper, we propose a new paradigm for the task of entity-relation extraction. We cast the task as a multi-turn question answering problem, i.
Additionally, we construct a newly developed dataset RESUME in Chinese, which requires multi-step reasoning to construct entity dependencies, as opposed to the single-step dependency extraction in the triplet exaction in previous datasets.
In this paper we study the problem of producing useful relation representations directly from text. We describe a novel training setup, which we call matching the blanks, which relies solely on entity resolution annotations.
When coupled with a new architecture for fine-tuning relation representations in BERT, our models achieves state-of-the-art results on three relation extraction tasks, and outperforms human accuracy on few-shot relation matching.
In addition, we show how the new model is particularly effective in low-resource regimes, and we argue that it could significantly reduce the amount of human effort required to create relation extractors. This paper detailed analyze the impact of imbalanced data other relation to the final performance.
Incorporating BIO tagging to the embedding layer is an important trick!
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