Accepted Papers

A Study on Using Semantic Word Associations to Predict the Success of a Novel

Syeda Jannatus Saba, Biddut Sarker Bijoy, Henry Gorelick, Sabir Ismail, Md Saiful Islam and Mohammad Ruhul Amin

Adversarial Training for Machine Reading Comprehension with Virtual Embeddings

Ziqing Yang, Yiming Cui, Chenglei Si, Wanxiang Che, Ting Liu, Shijin Wang and Guoping Hu

BiQuAD: Towards QA based on deeper text understanding

Frank Grimm and Philipp Cimiano

Can Transformer Language Models Predict Psychometric Properties?

Antonio Laverghetta Jr., Animesh Nighojkar, Jamshidbek Mirzakhalov and John Licato

Compound or Term Features? Analyzing Salience in Predicting the Difficulty of German Noun Compounds across Domains

Anna Hätty, Julia Bettinger, Michael Dorna, Jonas Kuhn and Sabine Schulte im Walde

Denoising Word Embeddings by Averaging in a Shared Space

Avi Caciularu, Ido Dagan and Jacob Goldberger

Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing

Yuki Yamamoto, Yuji Matsumoto and Taro Watanabe

Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge

Paolo Pedinotti, Giulia Rambelli, Emmanuele Chersoni, Enrico Santus, Alessandro Lenci and Philippe Blache

Disentangling Online Chats with DAG-structured LSTMs

Duccio Pappadopulo, Lisa Bauer, Marco Farina, Ozan Ä°rsoy and Mohit Bansal

Evaluating a Joint Training Approach for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora on Lower-resource Languages

Ali Hakimi Parizi and Paul Cook

Evaluating Universal Dependency Parser Recovery of Predicate Argument Structure via CompChain Analysis

Sagar Indurkhya, Beracah Yankama and Robert Berwick

Generating Hypothetical Events for Abductive Inference

Debjit Paul and Anette Frank

Incorporating EDS Graph for AMR Parsing

Ziyi Shou and Fangzhen Lin

Inducing Language-Agnostic Multilingual Representations

Wei Zhao, Steffen Eger, Johannes Bjerva and Isabelle Augenstein

InFillmore: Frame-Guided Language Generation with Bidirectional Context

Jiefu Ou, Nathaniel Weir, Anton Belyy, Felix Yu and Benjamin Van Durme

Learning Embeddings for Rare Words Leveraging Internet Search Engine and Spatial Location Relationships

Xiaotao Li, Shujuan You, Yawen Niu and Wai Chen

Modeling Sense Structure in Word Usage Graphs with the Weighted Stochastic Block Model

Dominik Schlechtweg, Enrique Castaneda, Jonas Kuhn and Sabine Schulte im Walde

Multilingual Neural Semantic Parsing for Low-Resourced Languages

Menglin Xia and Emilio Monti

Neural Metaphor Detection with Visibility Embeddings

Gitit Kehat and James Pustejovsky

NeuralLog: Natural Language Inference with Joint Neural and Logical Reasoning

Zeming Chen, Qiyue Gao and Larry Moss

One Semantic Parser to Parse Them All: Sequence to Sequence Multi-Task Learning on Semantic Parsing Datasets

Marco Damonte and Emilio Monti

Overcoming Poor Word Embeddings with Word Definitions

Christopher Malon

ParsFEVER: a Dataset for Farsi Fact Extraction and Verification

Majid Zarharan, Mahsa Ghaderan, Amin Pourdabiri, Zahra Sayedi, Behrouz Minaei-Bidgoli, Sauleh Eetemadi and Mohammad Taher Pilehvar

Realistic Evaluation Principles for Cross-document Coreference Resolution

Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi and Ido Dagan

Recovering Lexically and Semantically Reused Texts

Ansel MacLaughlin, Shaobin Xu and David Smith

Script Parsing with Hierarchical Sequence Modelling

Fangzhou Zhai, Iza Škrjanec and Alexander Koller

Semantic shift in social networks

Bill Noble, Asad Sayeed, Raquel Fernández and Staffan Larsson

Spurious Correlations in Cross-Topic Argument Mining

Terne Sasha Thorn Jakobsen, Maria Barrett and Anders Søgaard

Teach the Rules, Provide the Facts: Targeted Relational-knowledge Enhancement for Textual Inference

Ohad Rozen, Shmuel Amar, Vered Shwartz and Ido Dagan

Toward Diverse Precondition Generation

Heeyoung Kwon, Nathanael Chambers and Niranjan Balasubramanian