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MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining
One of the biggest challenges that prohibit the use of many current NLP ...
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Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback
The ubiquitous nature of chatbots and their interaction with users gener...
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Measuring Systematic Generalization in Neural Proof Generation with Transformers
We are interested in understanding how well Transformer language models ...
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Words aren't enough, their order matters: On the Robustness of Grounding Visual Referring Expressions
Visual referring expression recognition is a challenging task that requi...
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StereoSet: Measuring stereotypical bias in pretrained language models
A stereotype is an over-generalized belief about a particular group of p...
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Building a Neural Semantic Parser from a Domain Ontology
Semantic parsing is the task of converting natural language utterances i...
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CoQA: A Conversational Question Answering Challenge
Humans gather information by engaging in conversations involving a serie...
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Learning an Executable Neural Semantic Parser
This paper describes a neural semantic parser that maps natural language...
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Learning to Paraphrase for Question Answering
Question answering (QA) systems are sensitive to the many different ways...
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Learning Structured Natural Language Representations for Semantic Parsing
We introduce a neural semantic parser that converts natural language utt...
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Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks
Existing question answering methods infer answers either from a knowledg...
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Universal Dependencies to Logical Forms with Negation Scope
Many language technology applications would benefit from the ability to ...
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Universal Semantic Parsing
Universal Dependencies (UD) offer a uniform cross-lingual syntactic repr...
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Predicting Target Language CCG Supertags Improves Neural Machine Translation
Neural machine translation (NMT) models are able to partially learn synt...
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Evaluating Induced CCG Parsers on Grounded Semantic Parsing
We compare the effectiveness of four different syntactic CCG parsers for...
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DNN-based Speech Synthesis for Indian Languages from ASCII text
Text-to-Speech synthesis in Indian languages has a seen lot of progress ...
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Question Answering on Freebase via Relation Extraction and Textual Evidence
Existing knowledge-based question answering systems often rely on small ...
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Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing
One of the limitations of semantic parsing approaches to open-domain que...
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