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05/30/2023
Hierarchical Multi-Instance Multi-Label Learning for Detecting Propaganda Techniques
Since the introduction of the SemEval 2020 Task 11 (Martino et al., 2020...
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05/24/2023
Selectively Answering Ambiguous Questions
Trustworthy language models should abstain from answering questions when...
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03/22/2023
Salient Span Masking for Temporal Understanding
Salient Span Masking (SSM) has shown itself to be an effective strategy ...
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03/09/2023
Learning the Legibility of Visual Text Perturbations
Many adversarial attacks in NLP perturb inputs to produce visually simil...
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03/01/2023
DIFFQG: Generating Questions to Summarize Factual Changes
Identifying the difference between two versions of the same article is u...
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02/06/2023
Interface Design for Crowdsourcing Hierarchical Multi-Label Text Annotations
Human data labeling is an important and expensive task at the heart of s...
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09/14/2022
On the State of the Art in Authorship Attribution and Authorship Verification
Despite decades of research on authorship attribution (AA) and authorshi...
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04/15/2022
Characterizing the Efficiency vs. Accuracy Trade-off for Long-Context NLP Models
With many real-world applications of Natural Language Processing (NLP) c...
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04/12/2022
ASQA: Factoid Questions Meet Long-Form Answers
An abundance of datasets and availability of reliable evaluation metrics...
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06/29/2021
Time-Aware Language Models as Temporal Knowledge Bases
Many facts come with an expiration date, from the name of the President ...
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04/10/2021
Fool Me Twice: Entailment from Wikipedia Gamification
We release FoolMeTwice (FM2 for short), a large dataset of challenging e...
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02/14/2021
Reasoning Over Virtual Knowledge Bases With Open Predicate Relations
We present the Open Predicate Query Language (OPQL); a method for constr...
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12/01/2020
Evaluating Explanations: How much do explanations from the teacher aid students?
While many methods purport to explain predictions by highlighting salien...
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11/03/2020
Weakly- and Semi-supervised Evidence Extraction
For many prediction tasks, stakeholders desire not only predictions but ...
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04/29/2020
ToTTo: A Controlled Table-To-Text Generation Dataset
We present ToTTo, an open-domain English table-to-text dataset with over...
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02/25/2020
Differentiable Reasoning over a Virtual Knowledge Base
We consider the task of answering complex multi-hop questions using a co...
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09/17/2019
Learning to Deceive with Attention-Based Explanations
Attention mechanisms are ubiquitous components in neural architectures a...
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09/13/2019
PubMedQA: A Dataset for Biomedical Research Question Answering
We introduce PubMedQA, a novel biomedical question answering (QA) datase...
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06/03/2019
Handling Divergent Reference Texts when Evaluating Table-to-Text Generation
Automatically constructed datasets for generating text from semi-structu...
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05/27/2019
Combating Adversarial Misspellings with Robust Word Recognition
To combat adversarial spelling mistakes, we propose placing a word recog...
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04/09/2019
Text Generation with Exemplar-based Adaptive Decoding
We propose a novel conditioned text generation model. It draws inspirati...
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04/03/2019
Probing Biomedical Embeddings from Language Models
Contextualized word embeddings derived from pre-trained language models ...
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09/04/2018
Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text
Open Domain Question Answering (QA) is evolving from complex pipelined s...
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06/14/2018
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations
Modern deep transfer learning approaches have mainly focused on learning...
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06/12/2018
Embedding Text in Hyperbolic Spaces
Natural language text exhibits hierarchical structure in a variety of re...
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04/16/2018
Neural Models for Reasoning over Multiple Mentions using Coreference
Many problems in NLP require aggregating information from multiple menti...
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04/02/2018
Simple and Effective Semi-Supervised Question Answering
Recent success of deep learning models for the task of extractive Questi...
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07/12/2017
Quasar: Datasets for Question Answering by Search and Reading
We present two new large-scale datasets aimed at evaluating systems desi...
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03/26/2017
Question Answering from Unstructured Text by Retrieval and Comprehension
Open domain Question Answering (QA) systems must interact with external ...
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03/07/2017
Linguistic Knowledge as Memory for Recurrent Neural Networks
Training recurrent neural networks to model long term dependencies is di...
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03/05/2017
Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning
We propose a general approach to modeling semi-supervised learning (SSL)...
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03/02/2017
A Comparative Study of Word Embeddings for Reading Comprehension
The focus of past machine learning research for Reading Comprehension ta...
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12/17/2016
A User Simulator for Task-Completion Dialogues
Despite widespread interests in reinforcement-learning for task-oriented...
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11/06/2016
Words or Characters? Fine-grained Gating for Reading Comprehension
Previous work combines word-level and character-level representations us...
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09/03/2016
Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access
This paper proposes KB-InfoBot -- a multi-turn dialogue agent which help...
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06/10/2016
Bootstrapping Distantly Supervised IE using Joint Learning and Small Well-structured Corpora
We propose a framework to improve performance of distantly-supervised re...
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06/05/2016
Gated-Attention Readers for Text Comprehension
In this paper we study the problem of answering cloze-style questions ov...
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05/11/2016