Acl 2019 accepted papers

Acl 2019 accepted papers

This year, the ACL conference was super-competitive: We accepted out of submitted long papers and out of short papers, with an overall acceptance rate of The details of the review process will be published soon on the homepage.

Congratulations to all authors for their fine work, and thanks to all the area chairs and reviewers for their great effort to ensure the high-quality review process! Hover over papers in the list below to show the abstract. Click on the icon to view the paper entry in the schedule.

The full proceedings are available on the ACL Anthology. Papers Schedule Invited Talks This year, the ACL conference was super-competitive: We accepted out of submitted long papers and out of short papers, with an overall acceptance rate of Chaitanya Malaviya, Matthew R. Gormley, Graham Neubig.

Gaussian Mixture Latent Vector Grammars.

acl 2019 accepted papers

Smith, Yejin Choi. Xin Dong, Gerard de Melo. Neural Models for Documents with Metadata. Phong Le, Ivan Titov. Sebastian Ruder, Barbara Plank. NeuralREG: An end-to-end approach to referring expression generation.

Subword-level Word Vector Representations for Korean. Georgios Spithourakis, Sebastian Riedel. Amulya Gupta, Zhu Zhang. Prafulla Kumar Choubey, Ruihong Huang. Wei Xue, Tao Li. Modeling Deliberative Argumentation Strategies on Wikipedia. Jeremy Howard, Sebastian Ruder. Mielke, Lawrence Wolf-Sonkin.

Weiyan Shi, Zhou Yu. Shashank Srivastava, Nebojsa Jojic. What Action Causes This? Personalizing Dialogue Agents: I have a dog, do you have pets too?Wood, Pascale Fung and Hamid R. Augmenting word2vec with latent Dirichlet allocation within a clinical application Akshay Budhkar and Frank Rudzicz.

Be Consistent! Better word embeddings by disentangling contextual n-gram information Prakhar Gupta, Matteo Pagliardini and Martin Jaggi. Wong, Lidia S. Chao and Zhaopeng Tu. Cross-topic distributional semantic representations via unsupervised mappings Eleftheria Briakou, Nikos Athanasiou and Alexandros Potamianos.

Detecting cognitive impairments by agreeing on interpretations of linguistic features Zining Zhu, Jekaterina Novikova and Frank Rudzicz. Does My Rebuttal Matter? Domain adaptation for part-of-speech tagging of noisy user-generated text Luisa Berlanda, Dietrich Trautmann and Benjamin Roth.

Martins and Shay B. From legal to technical concept: Towards an automated classification of German political Twitter postings as criminal offenses Frederike Zufall, Tobias Horsmann and Torsten Zesch.

How to Avoid Sentences Spelling Boring? Lyu and Zhaopeng Tu. Liu, Roy Schwartz and Noah A. Measuring the perceptual availability of phonological features during language acquisition using unsupervised binary stochastic autoencoders Cory Shain and Micha Elsner. Lyu and Shuming Shi.

Gormley and Jason Eisner. Nguyen and David Chiang. Khapra and Harish G. Bowman and Rachel Rudinger. Wallace and Ani Nenkova.

Prediction is all you need: A large-scale study of the effects of word frequency and predictability in naturalistic reading Cory Shain. Recurrent models and lower bounds for projective syntactic decoding Natalie Schluter. Martins and Gholamreza Haffari. Training data augmentation for context-sensitive neural lemmatizer using inflection tables and raw text Toms Bergmanis and Sharon Goldwater.

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Understanding dataset design choices for multi-hop reasoning Jifan Chen and Greg Durrett. What do entity-centric models learn?Toggle navigation. Select Show All to clear this filter. Is used to filter for events by day. Is used to clear both the Event and Day filters. This button is only present when filters are set. When viewing the schedule, the search box only searches the schedule. When not viewing the schedule, it searches everything but the schedule.

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In Posters Tue. SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver. Efficient optimization of loops and limits with randomized telescoping sums. Adversarial camera stickers: A physical camera-based attack on deep learning systems. Adversarial Generation of Time-Frequency Features with application in audio synthesis. Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always.

Robert M. Lydia T. In Posters Wed. Near optimal finite time identification of arbitrary linear dynamical systems. The advantages of multiple classes for reducing overfitting from test set reuse.

On the statistical rate of nonlinear recovery in generative models with heavy-tailed data. Phase transition in PCA with missing data: Reduced signal-to-noise ratio, not sample size!

Learning interpretable continuous-time models of latent stochastic dynamical systems. Efficient learning of smooth probability functions from Bernoulli tests with guarantees.

Parameter efficient training of deep convolutional neural networks by dynamic sparse reparameterization. DeepNose: Using artificial neural networks to represent the space of odorants.

Transferability vs. In Posters Thu. Multi-objective training of Generative Adversarial Networks with multiple discriminators. Understanding and correcting pathologies in the training of learned optimizers.

Main Conference

Why do Larger Models Generalize Better? Approximation and non-parametric estimation of ResNet-type convolutional neural networks. Neuron birth-death dynamics accelerates gradient descent and converges asymptotically. Matt J. Guided evolutionary strategies: augmenting random search with surrogate gradients. James A.The workshop provides an excellent opportunity for student participants to present their work and receive valuable feedback from the international research community as well as from selected panelists - experienced researchers, specifically assigned according to the topic of their work, who will prepare in-depth comments and questions in advance of the presentation.

The workshop's goal is to aid students at multiple stages of their education: from those in the final stages of undergraduate training to those active with graduate thesis research. All accepted research papers and research proposals will be presented in the main conference poster session, giving students an opportunity to interact with and present their work to a large and diverse audience, including top researchers in the field.

Submissions in both categories may either be archival or non-archival, based on the wishes of the authors. All non-archival papers may be submitted to other venue in the future except another SRW. Each participant is also assigned a mentor - an experienced researcher - who can provide valuable advice on the submission during the pre-submission period and mentoring during the conference.

We accept both archival submissions i. If your work was previously published or is under submission elsewhere, please choose non-archival so you can still present a poster but we won't publish your paper in the ACL anthology. All papers consist of up to five 5 pages of content, plus unlimited references. Upon acceptance, will be given six 6 content page. Paper submissions must use the official ACL style templates. All submissions must be in PDF format and must conform to the official style guidelines, which are contained in these template files.

The deadline for submission is April 26, The deadline pre-submission mentoring is March 5, The SRW invites papers on topics related to computational linguistics, including but not limited to:. Details of the submission guidelines are available here. The organizers of the workshop can be contacted by email at: acl. More details can be found at the SRW website. We expect to have grants to offset some portion of the students travel; conference registration and accommodation expenses.

Further details will be posted on the SRW website.

Accepted Papers

The SRW invites two types of submissions: Research Papers: completed work or work-in-progress along with preliminary results. We encourage submissions from Ph. Research Proposals: for advanced Masters and Ph. We provide two mentoring programs: Pre-submission Mentoring: the goal is to improve presentation of the student's work, not to critique the work itself.

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Mentors will provide feedback in the format of guidelines and suggestions to improve the overall writing. Mentoring for Accepted Papers: mentors will be responsible for providing feedback to students and preparing in-depth comments and questions prior to the workshop presentation.Gormley Graham Neubig. Mielke Hanna Wallach Ryan Cotterell. Smith Luke Zettlemoyer. Wong Lidia S. Lyu Shuming Shi. Fischer Frank Fischer Iryna Gurevych. Sofia Serrano Noah A. Phan Aixin Sun Yi Tay.

Wong Yang Liu Lidia S. Chao Tong Xiao Jingbo Zhu. Chao Zhaopeng Tu. Kummerfeld Sai R. Gouravajhala Joseph J. Encoder-decoder neural networks as cognitive models of E nglish past tense inflection Maria Corkery Yevgen Matusevych Sharon Goldwater. Georgia R. And Why? In particular, people study the problem by investigating context-response matching for multi-turn response selection based on publicly recognized benchmark data sets.

acl 2019 accepted papers

State-of-the-art methods require a response to interact with each utterance in a context from the beginning, but the interaction is performed in a shallow way.

In this work, we let utterance-response interaction go deep by proposing an interaction-over-interaction network IoI. The model performs matching by stacking multiple interaction blocks in which residual information from one time of interaction initiates the interaction process again. Thus, matching information within an utterance-response pair is extracted from the interaction of the pair in an iterative fashion, and the information flows along the chain of the blocks via representations.

Evaluation results on three benchmark data sets indicate that IoI can significantly outperform state-of-the-art methods in terms of various matching metrics. Through further analysis, we also unveil how the depth of interaction affects the performance of IoI.

Document Grounded Conversations is a task to generate dialogue responses when chatting about the content of a given document. Obviously, document knowledge plays a critical role in Document Grounded Conversations, while existing dialogue models do not exploit this kind of knowledge effectively enough. In this paper, we propose a novel Transformer-based architecture for multi-turn document grounded conversations. In particular, we devise an Incremental Transformer to encode multi-turn utterances along with knowledge in related documents.Wong and Lidia S.

Mielke, Hanna Wallach and Ryan Cotterell. Sebastian J. Fischer, Frank Fischer and Iryna Gurevych. What Makes a Good Counselor? Cohen and Mirella Lapata. Lyu and Shuming Shi. Wong, Yang Liu, Lidia S. Chao, Tong Xiao and Jingbo Zhu.

Are Training Samples Correlated?

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Encoder-decoder neural networks as cognitive models of English past tense inflection Maria Corkery, Yevgen Matusevych and Sharon Goldwater. Phan, Aixin Sun and Yi Tay. Semantic expressive capacity with bounded memory Antoine Venant and Alexander Koller. Abstractive text summarization based on deep learning and semantic content generalization Panagiotis Kouris, Georgios Alexandridis and Andreas Stafylopatis.

Kummerfeld, Sai R. Gouravajhala, Joseph J. What should I ask? Using conversationally informative rewards for goal-oriented visual dialog. Cohen, Mark Johnson and Mark Steedman. Modeling affirmative and negated action processing in the brain with lexical and compositional semantic models Vesna Djokic, Jean Maillard, Luana Bulat and Ekaterina Shutova. Wong, Lidia S. Chao and Zhaopeng Tu.Update, 25th May Authors of accepted papers should read the instructions for camera-ready submissions.

The ACL conference invites the submission of long and short papers on substantial, original, and unpublished research in all aspects of Computational Linguistics and Natural Language Processing. ACL has the goal of a broad technical program. Relevant topics for the conference include, but are not limited to, the following areas in alphabetical order :.

Long ACL submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Review forms will be made available prior to the deadlines. Long papers may consist of up to eight 8 pages of content, plus unlimited references; final versions of long papers will be given one additional page of content up to 9 pages so that reviewers' comments can be taken into account.

Long papers will be presented orally or as posters as determined by the program committee. The decisions as to which papers will be presented orally and which as poster presentations will be based on the nature rather than the quality of the work.

There will be no distinction in the proceedings between long papers presented orally and as posters. ACL also solicits short papers. Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead short papers should have a point that can be made in a few pages. Some kinds of short papers are:. Short papers may consist of up to four 4 pages of content, plus unlimited references. Upon acceptance, short papers will be given five 5 content pages in the proceedings.

Authors are encouraged to use this additional page to address reviewers' comments in their final versions.

acl 2019 accepted papers

Short papers will be presented in one or more oral or poster sessions. While short papers will be distinguished from long papers in the proceedings, there will be no distinction in the proceedings between short papers presented orally and as posters. As the reviewing will be blind, papers must not include authors' names and affiliations. Furthermore, self-references that reveal the author's identity, e.

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