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NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned
We review the EfficientQA competition from NeurIPS 2020. The competition...
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IIRC: A Dataset of Incomplete Information Reading Comprehension Questions
Humans often have to read multiple documents to address their informatio...
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XOR QA: Cross-lingual Open-Retrieval Question Answering
Multilingual question answering tasks typically assume answers exist in ...
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MedICaT: A Dataset of Medical Images, Captions, and Textual References
Understanding the relationship between figures and text is key to scient...
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Extracting a Knowledge Base of Mechanisms from COVID-19 Papers
The urgency of mitigating COVID-19 has spawned a large and diverse body ...
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X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers
Mirroring the success of masked language models, vision-and-language cou...
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Extracting Summary Knowledge Graphs from Long Documents
Knowledge graphs capture entities and relations from long documents and ...
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DeLighT: Very Deep and Light-weight Transformer
We introduce a very deep and light-weight transformer, DeLighT, that del...
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HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy Images
Training end-to-end networks for classifying gigapixel size histopatholo...
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UnifiedQA: Crossing Format Boundaries With a Single QA System
Question answering (QA) tasks have been posed using a variety of formats...
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An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction
Decisions of complex language understanding models can be rationalized b...
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Probing Text Models for Common Ground with Visual Representations
Vision, as a central component of human perception, plays a fundamental ...
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A Controllable Model of Grounded Response Generation
Current end-to-end neural conversation models inherently lack the flexib...
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SciREX: A Challenge Dataset for Document-Level Information Extraction
Extracting information from full documents is an important problem in ma...
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Fact or Fiction: Verifying Scientific Claims
We introduce the task of scientific fact-checking. Given a corpus of sci...
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AmbigQA: Answering Ambiguous Open-domain Questions
Ambiguity is inherent to open-domain question answering; especially when...
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Logic-Guided Data Augmentation and Regularization for Consistent Question Answering
Many natural language questions require qualitative, quantitative or log...
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Procedural Reading Comprehension with Attribute-Aware Context Flow
Procedural texts often describe processes (e.g., photosynthesis and cook...
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Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping
Fine-tuning pretrained contextual word embedding models to supervised do...
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DeFINE: DEep Factorized INput Word Embeddings for Neural Sequence Modeling
For sequence models with large word-level vocabularies, a majority of ne...
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Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering
Answering questions that require multi-hop reasoning at web-scale necess...
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Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering
This paper presents a general approach for open-domain question answerin...
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Contextualized Sparse Representation with Rectified N-Gram Attention for Open-Domain Question Answering
A sparse representation is known to be an effective means to encode prec...
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Question Answering is a Format; When is it Useful?
Recent years have seen a dramatic expansion of tasks and datasets posed ...
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A Discrete Hard EM Approach for Weakly Supervised Question Answering
Many question answering (QA) tasks only provide weak supervision for how...
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Entity. Relation, and Event Extraction with Contextualized Span Representations
We examine the capabilities of a unified, multi-task framework for three...
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Mixture Content Selection for Diverse Sequence Generation
Generating diverse sequences is important in many NLP applications such ...
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Potential-Based Advice for Stochastic Policy Learning
This paper augments the reward received by a reinforcement learning agen...
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Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index
Existing open-domain question answering (QA) models are not suitable for...
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DiCENet: Dimension-wise Convolutions for Efficient Networks
In this paper, we propose a new CNN model DiCENet, that is built using: ...
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Multi-hop Reading Comprehension through Question Decomposition and Rescoring
Multi-hop Reading Comprehension (RC) requires reasoning and aggregation ...
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Compositional Questions Do Not Necessitate Multi-hop Reasoning
Multi-hop reading comprehension (RC) questions are challenging because t...
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MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms
We introduce a large-scale dataset of math word problems and an interpre...
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A General Framework for Information Extraction using Dynamic Span Graphs
We introduce a general framework for several information extraction task...
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Text Generation from Knowledge Graphs with Graph Transformers
Generating texts which express complex ideas spanning multiple sentences...
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ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
We introduce a light-weight, power efficient, and general purpose convol...
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Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction
We introduce a multi-task setup of identifying and classifying entities,...
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Pyramidal Recurrent Unit for Language Modeling
LSTMs are powerful tools for modeling contextual information, as evidenc...
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Scientific Relation Extraction with Selectively Incorporated Concept Embeddings
This paper describes our submission for the SemEval 2018 Task 7 shared t...
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Semi-Supervised Event Extraction with Paraphrase Clusters
Supervised event extraction systems are limited in their accuracy due to...
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Data-Driven Methods for Solving Algebra Word Problems
We explore contemporary, data-driven techniques for solving math word pr...
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Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension
The current trend of extractive question answering (QA) heavily relies o...
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ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
We introduce a fast and efficient convolutional neural network, ESPNet, ...
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Identifying Most Walkable Direction for Navigation in an Outdoor Environment
We present an approach for identifying the most walkable direction for n...
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Neural Speed Reading via Skim-RNN
Inspired by the principles of speed reading, we introduce Skim-RNN, a re...
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Scientific Information Extraction with Semi-supervised Neural Tagging
This paper addresses the problem of extracting keyphrases from scientifi...
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Question Answering through Transfer Learning from Large Fine-grained Supervision Data
We show that the task of question answering (QA) can significantly benef...
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Bidirectional Attention Flow for Machine Comprehension
Machine comprehension (MC), answering a query about a given context para...
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A Theme-Rewriting Approach for Generating Algebra Word Problems
Texts present coherent stories that have a particular theme or overall s...
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Query-Reduction Networks for Question Answering
In this paper, we study the problem of question answering when reasoning...
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