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11/08/2022
Strictly Breadth-First AMR Parsing
AMR parsing is the task that maps a sentence to an AMR semantic graph au...
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06/22/2022
Hierarchical Context Tagging for Utterance Rewriting
Utterance rewriting aims to recover coreferences and omitted information...
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08/27/2021
Latent Tree Decomposition Parsers for AMR-to-Text Generation
Graph encoders in AMR-to-text generation models often rely on neighborho...
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08/27/2021
Tree Decomposition Attention for AMR-to-Text Generation
Text generation from AMR requires mapping a semantic graph to a string t...
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11/29/2020
AWLCO: All-Window Length Co-Occurrence
Analyzing patterns in a sequence of events has applications in text anal...
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06/07/2020
Tensors over Semirings for Latent-Variable Weighted Logic Programs
Semiring parsing is an elegant framework for describing parsers by using...
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01/31/2020
Unsupervised Bilingual Lexicon Induction Across Writing Systems
Recent embedding-based methods in unsupervised bilingual lexicon inducti...
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12/03/2019
AMR-to-Text Generation with Cache Transition Systems
Text generation from AMR involves emitting sentences that reflect the me...
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11/11/2019
Leveraging Dependency Forest for Neural Medical Relation Extraction
Medical relation extraction discovers relations between entity mentions ...
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05/26/2019
SemBleu: A Robust Metric for AMR Parsing Evaluation
Evaluating AMR parsing accuracy involves comparing pairs of AMR graphs. ...
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05/21/2019
Predicting TED Talk Ratings from Language and Prosody
We use the largest open repository of public speaking—TED Talks—to predi...
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05/21/2019
A Causality-Guided Prediction of the TED Talk Ratings from the Speech-Transcripts using Neural Networks
Automated prediction of public speaking performance enables novel system...
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02/19/2019
Semantic Neural Machine Translation using AMR
It is intuitive that semantic representations can be useful for machine ...
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10/23/2018
Neural Transition-based Syntactic Linearization
The task of linearization is to find a grammatical order given a set of ...
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09/06/2018
Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks
Multi-hop reading comprehension focuses on one type of factoid question,...
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08/28/2018
N-ary Relation Extraction using Graph State LSTM
Cross-sentence n-ary relation extraction detects relations among n entit...
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05/07/2018
A Graph-to-Sequence Model for AMR-to-Text Generation
The problem of AMR-to-text generation is to recover a text representing ...
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02/16/2017
Addressing the Data Sparsity Issue in Neural AMR Parsing
Neural attention models have achieved great success in different NLP tas...
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02/01/2017
AMR-to-text Generation with Synchronous Node Replacement Grammar
This paper addresses the task of AMR-to-text generation by leveraging sy...
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07/21/2016
Exploring phrase-compositionality in skip-gram models
In this paper, we introduce a variation of the skip-gram model which joi...
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06/17/2016
Sense Embedding Learning for Word Sense Induction
Conventional word sense induction (WSI) methods usually represent each i...
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10/09/2015
Human languages order information efficiently
Most languages use the relative order between words to encode meaning re...
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08/10/2015
Feature-based Decipherment for Large Vocabulary Machine Translation
Orthographic similarities across languages provide a strong signal for p...
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04/30/2015
Parsing Linear Context-Free Rewriting Systems with Fast Matrix Multiplication
We describe a matrix multiplication recognition algorithm for a subset o...
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04/14/2015
Automated Analysis and Prediction of Job Interview Performance
We present a computational framework for automatically quantifying verba...
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06/27/2012
