ACL 2019

1,448 papers

Relevant and Informative Response Generation using Pointwise Mutual Information

Junya Takayama, Yuki Arase

Multi-turn Dialogue Response Generation in an Adversarial Learning Framework

Oluwatobi Olabiyi, Alan O Salimov, Anish Khazane, Erik Mueller

Learning to Explain: Answering Why-Questions via Rephrasing

Allen Nie, Erin Bennett, Noah Goodman

Insights from Building an Open-Ended Conversational Agent

Khyatti Gupta, Meghana Joshi, Ankush Chatterjee, Sonam Damani, Kedhar Nath Narahari

Improving Long Distance Slot Carryover in Spoken Dialogue Systems

Tongfei Chen, Chetan Naik, Hua He, Pushpendre Rastogi, Lambert Mathias

Evaluation and Improvement of Chatbot Text Classification Data Quality Using Plausible Negative Examples

Kit Kuksenok, Andriy Martyniv

Energy-Based Modelling for Dialogue State Tracking

Anh Duong Trinh, Robert Ross, John Kelleher

End-to-End Neural Context Reconstruction in Chinese Dialogue

Wei Yang, Rui Qiao, Haocheng Qin, Amy Sun, Luchen Tan

DSTC7 Task 1: Noetic End-to-End Response Selection

Chulaka Gunasekara, Jonathan K. Kummerfeld, Lazaros Polymenakos, Walter Lasecki

Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event Embedding

Shohei Tanaka, Koichiro Yoshino, Katsuhito Sudoh, Satoshi Nakamura

Co-Operation as an Asymmetric Form of Human-Computer Creativity. Case: Peace Machine

Mika Hämäläinen, Timo Honkela

Building a Production Model for Retrieval-Based Chatbots

Kyle Swanson, LILI YU, Christopher Fox, Jeremy Wohlwend, Tao Lei

Augmenting Neural Response Generation with Context-Aware Topical Attention

Nouha Dziri, Ehsan Kamalloo, Kory Mathewson, Osmar Zaïane

A Simple but Effective Method to Incorporate Multi-turn Context with BERT for Conversational Machine Comprehension

Yasuhito Ohsugi, Itsumi Saito, Kyosuke Nishida, Hisako Asano, Junji Tomita

A Repository of Conversational Datasets

Matthew Henderson, Paweł Budzianowski, Iñigo Casanueva, Sam Coope, Daniela Gerz

Proceedings of the First Workshop on NLP for Conversational AI

Yun-Nung Chen, Tania Bedrax-Weiss, Dilek Hakkani-Tur, Anuj Kumar, Mike Lewis

LSTM Networks Can Perform Dynamic Counting

Mirac Suzgun, Yonatan Belinkov, Stuart Shieber, Sebastian Gehrmann

Multi-Element Long Distance Dependencies: Using SPk Languages to Explore the Characteristics of Long-Distance Dependencies

Abhijit Mahalunkar, John Kelleher

Relating RNN Layers with the Spectral WFA Ranks in Sequence Modelling

Farhana Ferdousi Liza, Marek Grzes

Grammatical Sequence Prediction for Real-Time Neural Semantic Parsing

Chunyang Xiao, Christoph Teichmann, Konstantine Arkoudas

Sequential Neural Networks as Automata

William Merrill

Proceedings of the Workshop on Deep Learning and Formal Languages: Building Bridges

Jason Eisner, Matthias Gallé, Jeffrey Heinz, Ariadna Quattoni, Guillaume Rabusseau

Identification of Adverse Drug Reaction Mentions in Tweets – SMM4H Shared Task 2019

Samarth Rawal, Siddharth Rawal, Saadat Anwar, Chitta Baral

Detection of Adverse Drug Reaction in Tweets Using a Combination of Heterogeneous Word Embeddings

Segun Taofeek Aroyehun, Alexander Gelbukh

MIDAS@SMM4H-2019: Identifying Adverse Drug Reactions and Personal Health Experience Mentions from Twitter

Debanjan Mahata, Sarthak Anand, Haimin Zhang, Simra Shahid, Laiba Mehnaz

Adverse Drug Effect and Personalized Health Mentions, CLaC at SMM4H 2019, Tasks 1 and 4

Parsa Bagherzadeh, Nadia Sheikh, Sabine Bergler

Detection of Adverse Drug Reaction Mentions in Tweets Using ELMo

Sarah Sarabadani

BIGODM System in the Social Media Mining for Health Applications Shared Task 2019

Chen-Kai Wang, Hong-Jie Dai, Bo-Hung Wang

Give It a Shot: Few-shot Learning to Normalize ADR Mentions in Social Media Posts

Emmanouil Manousogiannis, Sepideh Mesbah, Alessandro Bozzon, Selene Baez Santamaria, Robert Jan Sips

Neural Network to Identify Personal Health Experience Mention in Tweets Using BioBERT Embeddings

Shubham Gondane

Towards Text Processing Pipelines to Identify Adverse Drug Events-related Tweets: University of Michigan @ SMM4H 2019 Task 1

V.G.Vinod Vydiswaran, Grace Ganzel, Bryan Romas, Deahan Yu, Amy Austin

Using Machine Learning and Deep Learning Methods to Find Mentions of Adverse Drug Reactions in Social Media

Pilar López Úbeda, Manuel Carlos Díaz Galiano, Maite Martin, L. Alfonso Urena Lopez

Deep Learning for Identification of Adverse Effect Mentions In Twitter Data

Paul Barry, Ozlem Uzuner

Detecting and Extracting of Adverse Drug Reaction Mentioning Tweets with Multi-Head Self Attention

Suyu Ge, Tao Qi, Chuhan Wu, Yongfeng Huang

NLP@UNED at SMM4H 2019: Neural Networks Applied to Automatic Classifications of Adverse Effects Mentions in Tweets

Javier Cortes-Tejada, Juan Martinez-Romo, Lourdes Araujo

Transfer Learning for Health-related Twitter Data

Anne Dirkson, Suzan Verberne

Affective Behaviour Analysis of On-line User Interactions: Are On-line Support Groups More Therapeutic than Twitter?

Giuliano Tortoreto, Evgeny Stepanov, Alessandra Cervone, Mateusz Dubiel, Giuseppe Riccardi

Correlating Twitter Language with Community-Level Health Outcomes

Arno Schneuwly, Ralf Grubenmann, Séverine Rion Logean, Mark Cieliebak, Martin Jaggi

Identifying Adverse Drug Events Mentions in Tweets Using Attentive, Collocated, and Aggregated Medical Representation

Xinyan Zhao, Deahan Yu, V.G.Vinod Vydiswaran

Approaching SMM4H with Merged Models and Multi-task Learning

Tilia Ellendorff, Lenz Furrer, Nicola Colic, Noëmi Aepli, Fabio Rinaldi

KFU NLP Team at SMM4H 2019 Tasks: Want to Extract Adverse Drugs Reactions from Tweets? BERT to The Rescue

Zulfat Miftahutdinov, Ilseyar Alimova, Elena Tutubalina

HITSZ-ICRC: A Report for SMM4H Shared Task 2019-Automatic Classification and Extraction of Adverse Effect Mentions in Tweets

Shuai Chen, Yuanhang Huang, Xiaowei Huang, Haoming Qin, Jun Yan

Passive Diagnosis Incorporating the PHQ-4 for Depression and Anxiety

Fionn Delahunty, Robert Johansson, Mihael Arcan

MedNorm: A Corpus and Embeddings for Cross-terminology Medical Concept Normalisation

Maksim Belousov, William G. Dixon, Goran Nenadic

Overview of the Fourth Social Media Mining for Health (SMM4H) Shared Tasks at ACL 2019

Davy Weissenbacher, Abeed Sarker, Arjun Magge, Ashlynn Daughton, Karen O’Connor

Lexical Normalization of User-Generated Medical Text

Anne Dirkson, Suzan Verberne, Wessel Kraaij

Extracting Kinship from Obituary to Enhance Electronic Health Records for Genetic Research

Kai He, Jialun Wu, Xiaoyong Ma, Chong Zhang, Ming Huang

Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task

Davy Weissenbacher, Graciela Gonzalez-Hernandez