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Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection
Despite significant progress in neural abstractive summarization, recent...
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ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation Reasoning
Stories and narratives are composed based on a variety of events. Unders...
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Learning to Reason for Text Generation from Scientific Tables
In this paper, we introduce SciGen, a new challenge dataset for the task...
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Back to Square One: Bias Detection, Training and Commonsense Disentanglement in the Winograd Schema
The Winograd Schema (WS) has been proposed as a test for measuring commo...
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Paired Examples as Indirect Supervision in Latent Decision Models
Compositional, structured models are appealing because they explicitly d...
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A Statistical Analysis of Summarization Evaluation Metrics using Resampling Methods
The quality of a summarization evaluation metric is quantified by calcul...
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Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies
A key limitation in current datasets for multi-hop reasoning is that the...
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Coreference Reasoning in Machine Reading Comprehension
The ability to reason about multiple references to a given entity is ess...
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Unsupervised Label-aware Event Trigger and Argument Classification
Identifying events and mapping them to pre-defined event types has long ...
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Learning Contextual Causality from Time-consecutive Images
Causality knowledge is crucial for many artificial intelligence systems....
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What do we expect from Multiple-choice QA Systems?
The recent success of machine learning systems on various QA datasets co...
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Paired Representation Learning for Event and Entity Coreference
Co-reference of Events and of Entities are commonly formulated as binary...
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Temporal Reasoning on Implicit Events from Distant Supervision
Existing works on temporal reasoning among events described in text focu...
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Understanding the Extent to which Summarization Evaluation Metrics Measure the Information Quality of Summaries
Reference-based metrics such as ROUGE or BERTScore evaluate the content ...
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Analogous Process Structure Induction for Sub-event Sequence Prediction
Computational and cognitive studies of event understanding suggest that ...
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Joint Constrained Learning for Event-Event Relation Extraction
Understanding natural language involves recognizing how multiple event m...
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"What Are You Trying to Do?" Semantic Typing of Event Processes
This paper studies a new cognitively motivated semantic typing task, mul...
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Do Language Embeddings Capture Scales?
Pretrained Language Models (LMs) have been shown to possess significant ...
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"I'd rather just go to bed": Understanding Indirect Answers
We revisit a pragmatic inference problem in dialog: understanding indire...
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Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior
Traditional (unstructured) pruning methods for a Transformer model focus...
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Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary
Recently, there has been growing interest in using question-answering (Q...
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Visual Pivoting for (Unsupervised) Entity Alignment
This work studies the use of visual semantic representations to align en...
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Task-Oriented Dialogue as Dataflow Synthesis
We describe an approach to task-oriented dialogue in which dialogue stat...
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From Spatial Relations to Spatial Configurations
Spatial Reasoning from language is essential for natural language unders...
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Understanding Spatial Relations through Multiple Modalities
Recognizing spatial relations and reasoning about them is essential in m...
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SacreROUGE: An Open-Source Library for Using and Developing Summarization Evaluation Metrics
We present SacreROUGE, an open-source library for using and developing s...
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Building Low-Resource NER Models Using Non-Speaker Annotation
In low-resource natural language processing (NLP), the key problem is a ...
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Learnability with Indirect Supervision Signals
Learning from indirect supervision signals is important in real-world AI...
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Foreshadowing the Benefits of Incidental Supervision
Learning theory mostly addresses the standard learning paradigm, assumin...
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Incidental Supervision: Moving beyond Supervised Learning
Machine Learning and Inference methods have become ubiquitous in our att...
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Text Classification with Few Examples using Controlled Generalization
Training data for text classification is often limited in practice, espe...
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Context-Based Quotation Recommendation
While composing a new document, anything from a news article to an email...
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Temporal Common Sense Acquisition with Minimal Supervision
Temporal common sense (e.g., duration and frequency of events) is crucia...
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Design Challenges for Low-resource Cross-lingual Entity Linking
Cross-lingual Entity Linking (XEL) grounds mentions of entities that app...
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TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions
A critical part of reading is being able to understand the temporal rela...
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TransOMCS: From Linguistic Graphs to Commonsense Knowledge
Commonsense knowledge acquisition is a key problem for artificial intell...
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Cross-lingual Entity Alignment for Knowledge Graphs with Incidental Supervision from Free Text
Much research effort has been put to multilingual knowledge graph (KG) e...
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Extending Multilingual BERT to Low-Resource Languages
Multilingual BERT (M-BERT) has been a huge success in both supervised an...
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Cross-Lingual Ability of Multilingual BERT: An Empirical Study
Recent work has exhibited the surprising cross-lingual abilities of mult...
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Robust Named Entity Recognition with Truecasing Pretraining
Although modern named entity recognition (NER) systems show impressive p...
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Neural Module Networks for Reasoning over Text
Answering compositional questions that require multiple steps of reasoni...
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Not All Claims are Created Equal: Choosing the Right Approach to Assess Your Hypotheses
Empirical research in Natural Language Processing (NLP) has adopted a na...
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Named Entity Recognition with Partially Annotated Training Data
Supervised machine learning assumes the availability of fully-labeled da...
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"Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understanding
Understanding time is crucial for understanding events expressed in natu...
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An Improved Neural Baseline for Temporal Relation Extraction
Determining temporal relations (e.g., before or after) between events ha...
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Incidental Supervision from Question-Answering Signals
Human annotations are costly for many natural language processing (NLP) ...
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Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach
Zero-shot text classification (0Shot-TC) is a challenging NLU problem to...
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Improving Generalization in Coreference Resolution via Adversarial Training
In order for coreference resolution systems to be useful in practice, th...
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Solving Hard Coreference Problems
Coreference resolution is a key problem in natural language understandin...
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Zero-Shot Open Entity Typing as Type-Compatible Grounding
The problem of entity-typing has been studied predominantly in supervise...
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