Invited Speakers

  • Heng Ji, University of Illinois Urbana-Champaign
  • Rada Mihalcea, University of Michigan
  • Scott Wen-tau Yih, Facebook AI Research
  • Carolin Lawrence, NEC Labs Europe
  • Iryna Gurevych, Technical University of Darmstadt

Schedule: August 6th, 2021 [Timezone: GMT-4]

Time Event
9:00 AM Opening Remarks
9:10 AM Invited Talk
Adapters in Transformers: a New Paradigm for Transfer Learning?
Iryna Gurevych (Technical University Darmstadt, Germany)
9:50 AM Invited Talk
From Knowledge Graphs to Human-Centric Explainable Knowledge Discovery
Carolin Lawrence (NEC Labs Europe, Germany)
10:30 AM Break
10:40 AM Poster Session I
Spatial Dependency Parsing for Semi-Structured Document Information Extraction
(Wonseok Hwang, Jinyeong Yim, Seunghyun Park, Sohee Yang and Minjoon Seo)

OKGIT: Open Knowledge Graph Link Prediction with Implicit Types
(Chandrahas, Partha Talukdar)

A Neural Edge-Editing Approach for Document-Level Relation Graph Extraction
(Kohei Makino, Makoto Miwa, Yutaka Sasaki)

On Sparsifying Encoder Outputs in Sequence-to-Sequence Models
(Biao Zhang, Ivan Titov, Rico Sennrich)

Insertion-based Tree Decoding
(Denis Lukovnikov, Asja Fischer)

HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction
(Liliang Ren, Chenkai Sun, Heng Ji, Julia Hockenmaier)

Effective Batching for Recurrent Neural Network Grammars
(Hiroshi Noji, Yohei Oseki)

Comparing Span Extraction Methods for Semantic Role Labeling
(Zhisong Zhang, Emma Strubell and Eduard Hovy)

Learning compositional structures for semantic graph parsing
(Jonas Groschwitz, Meaghan Fowlie and Alexander Koller)

Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks
(Julia Kreutzer, Stefan Riezler and Carolin Lawrence)

Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders
(Bhushan Kotnis, Carolin Lawrence and Mathias Niepert)

A Globally Normalized Neural Model for Semantic Parsing
(Chenyang Huang, Wei Yang, Yanshuai Cao, Osmar Zaiane and Lili Mou)

SmBoP: Semi-autoregressive Bottom-up Semantic Parsing
(Ohad Rubin and Jonathan Berant)

RewardsOfSum: Exploring Reinforcement Learning Rewards for Summarisation
(Jacob Parnell, Inigo Jauregi Unanue and Massimo Piccardi)

Using Hierarchical Class Structure to Improve Fine-Grained Claim Classification
(Erenay Dayanik, Andre Blessing, Nico Blokker, Sebastian Haunss, Jonas Kuhn, Gabriella Lapesa and Sebastian Pado)

Question Decomposition with Dependency Graphs
(Matan Hasson and Jonathan Berant)

HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction
(Liliang Ren, Chenkai Sun, Heng Ji, Julia Hockenmaier)
11:40 AM Invited Talk
TextRank: Bringing Order into Texts (Revisited)
Rada Mihalcea (University of Michigan, USA)
12:20 PM Contributed Talk
Learning compositional structures for semantic graph parsing
(Jonas Groschwitz, Meaghan Fowlie and Alexander Koller)
12:35 PM Contributed Talk
Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks
(Julia Kreutzer, Stefan Riezler and Carolin Lawrence)
12:50 PM Break
1:50 PM Invited Talk
Future is not one-dimensional: Hierarchical Complex Event Schema Induction for Event and Episode Prediction
Heng Ji (University of Illinois Urbana-Champaign, USA)
2:30 PM Contributed Talk
Mode recovery in neural autoregressive sequence modeling
(Ilia Kulikov, Sean Welleck and Kyunghyun Cho)
2:45 PM Poster Session II
Knowing More About Questions Can Help: Improving Calibration in Question Answering
(Shujian Zhang, Chengyue Gong, Eunsol Choi)

OKGIT: Open Knowledge Graph Link Prediction with Implicit Types
(Chandrahas, Partha Talukdar)

DoT: An efficient Double Transformer for NLP tasks with tables
(Syrine Krichene, Thomas Müller, Julian Martin Eisenschlos)

Do Language Models Perform Generalizable Commonsense Inference?
(Peifeng Wang, Filip Ilievski, Muhao Chen and Xiang Ren)

Controllable Abstractive Dialogue Summarization with Sketch Supervision
(Chien-Sheng Wu, Linqing Liu, Wenhao Liu, Pontus Stenetorp and Caiming Xiong)

Mode recovery in neural autoregressive sequence modeling
(Ilia Kulikov, Sean Welleck and Kyunghyun Cho)

Learning compositional structures for semantic graph parsing
(Jonas Groschwitz, Meaghan Fowlie and Alexander Koller)
3:45 PM Break
4:15 PM Contributed Talk
Comparing Span Extraction Methods for Semantic Role Labeling
(Zhisong Zhang, Emma Strubell and Eduard Hovy)
4:30 PM Invited Talk
Structured Prediction Problems in Question Answering
Scott Wen-tau Yih (Facebook AI Research, USA)
5:10 PM Closing Remarks