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Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses
Evaluation of grammatical error correction (GEC) systems has primarily f...
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Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards
Coreference resolution and semantic role labeling are NLP tasks that cap...
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Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias
The one-sided focus on English in previous studies of gender bias in NLP...
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Worst-Case-Aware Curriculum Learning for Zero and Few Shot Transfer
Multi-task transfer learning based on pre-trained language encoders achi...
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The Sensitivity of Language Models and Humans to Winograd Schema Perturbations
Large-scale pretrained language models are the major driving force behin...
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We Need to Talk About Random Splits
Gorman and Bedrick (2019) recently argued for using random splits rather...
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Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages
Part-of-speech (POS) taggers for low-resource languages which are exclus...
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Are All Good Word Vector Spaces Isomorphic?
Existing algorithms for aligning cross-lingual word vector spaces assume...
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Parsing as Pretraining
Recent analyses suggest that encoders pretrained for language modeling c...
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What Do You Mean `Why?': Resolving Sluices in Conversations
In conversation, we often ask one-word questions such as `Why?' or `Who?...
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Retrieval-based Goal-Oriented Dialogue Generation
Most research on dialogue has focused either on dialogue generation for ...
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Domain Transfer in Dialogue Systems without Turn-Level Supervision
Task oriented dialogue systems rely heavily on specialized dialogue stat...
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Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction
The task of bilingual dictionary induction (BDI) is commonly used for in...
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A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages
Parsers are available for only a handful of the world's languages, since...
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Rewarding Coreference Resolvers for Being Consistent with World Knowledge
Unresolved coreference is a bottleneck for relation extraction, and high...
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Higher-order Comparisons of Sentence Encoder Representations
Representational Similarity Analysis (RSA) is a technique developed by n...
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Ellipsis and Coreference Resolution as Question Answering
Coreference and many forms of ellipsis are similar to reading comprehens...
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X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension
Although the vast majority of knowledge bases KBs are heavily biased tow...
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X-WikiRE: A Large, Multilingual Resource for Relation Extraction asMachine Comprehension
Although the vast majority of knowledge bases KBs are heavily biased tow...
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Model-based annotation of coreference
Humans do not make inferences over texts, but over models of what texts ...
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Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies
In Semantic Dependency Parsing (SDP), semantic relations form directed a...
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Issue Framing in Online Discussion Fora
In online discussion fora, speakers often make arguments for or against ...
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Few-Shot and Zero-Shot Learning for Historical Text Normalization
Historical text normalization often relies on small training datasets. R...
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Better, Faster, Stronger Sequence Tagging Constituent Parsers
Sequence tagging models for constituent parsing are faster, but less acc...
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Jointly Learning to Label Sentences and Tokens
Learning to construct text representations in end-to-end systems can be ...
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Why is unsupervised alignment of English embeddings from different algorithms so hard?
This paper presents a challenge to the community: Generative adversarial...
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Nightmare at test time: How punctuation prevents parsers from generalizing
Punctuation is a strong indicator of syntactic structure, and parsers tr...
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Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction
Most recent approaches to bilingual dictionary induction find a linear a...
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A Discriminative Latent-Variable Model for Bilingual Lexicon Induction
We introduce a novel discriminative latent-variable model for the task o...
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Parameter sharing between dependency parsers for related languages
Previous work has suggested that parameter sharing between transition-ba...
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A strong baseline for question relevancy ranking
The best systems at the SemEval-16 and SemEval-17 community question ans...
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On the Limitations of Unsupervised Bilingual Dictionary Induction
Unsupervised machine translation---i.e., not assuming any cross-lingual ...
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Zero-shot Sequence Labeling: Transferring Knowledge from Sentences to Tokens
Can attention- or gradient-based visualization techniques be used to inf...
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Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces
We combine multi-task learning and semi-supervised learning by inducing ...
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Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
NLP tasks are often limited by scarcity of manually annotated data. In s...
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Is writing style predictive of scientific fraud?
The problem of detecting scientific fraud using machine learning was rec...
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A Survey Of Cross-lingual Word Embedding Models
Cross-lingual representations of words enable us to reason about word me...
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Sluice networks: Learning what to share between loosely related tasks
Multi-task learning is partly motivated by the observation that humans b...
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Cross-lingual and cross-domain discourse segmentation of entire documents
Discourse segmentation is a crucial step in building end-to-end discours...
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Multi-Task Learning of Keyphrase Boundary Classification
Keyphrase boundary classification (KBC) is the task of detecting keyphra...
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Identifying beneficial task relations for multi-task learning in deep neural networks
Multi-task learning (MTL) in deep neural networks for NLP has recently r...
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Parsing Universal Dependencies without training
We propose UDP, the first training-free parser for Universal Dependencie...
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Cross-lingual RST Discourse Parsing
Discourse parsing is an integral part of understanding information flow ...
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Cross-Lingual Dependency Parsing with Late Decoding for Truly Low-Resource Languages
In cross-lingual dependency annotation projection, information is often ...
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Spikes as regularizers
We present a confidence-based single-layer feed-forward learning algorit...
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Improving historical spelling normalization with bi-directional LSTMs and multi-task learning
Natural-language processing of historical documents is complicated by th...
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A Strong Baseline for Learning Cross-Lingual Word Embeddings from Sentence Alignments
While cross-lingual word embeddings have been studied extensively in rec...
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Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss
Bidirectional long short-term memory (bi-LSTM) networks have recently pr...
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Improving sentence compression by learning to predict gaze
We show how eye-tracking corpora can be used to improve sentence compres...
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Empirical Gaussian priors for cross-lingual transfer learning
Sequence model learning algorithms typically maximize log-likelihood min...
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