
-
CopyNext: Explicit Span Copying and Alignment in Sequence to Sequence Models
Copy mechanisms are employed in sequence to sequence models (seq2seq) to...
read it
-
COD3S: Diverse Generation with Discrete Semantic Signatures
We present COD3S, a novel method for generating semantically diverse sen...
read it
-
Which *BERT? A Survey Organizing Contextualized Encoders
Pretrained contextualized text encoders are now a staple of the NLP comm...
read it
-
Iterative Paraphrastic Augmentation with Discriminative Span Alignment
We introduce a novel paraphrastic augmentation strategy based on sentenc...
read it
-
A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering
Legislation can be viewed as a body of prescriptive rules expressed in n...
read it
-
Revisiting Memory-Efficient Incremental Coreference Resolution
We explore the task of coreference resolution under fixed memory by exte...
read it
-
On the Existence of Tacit Assumptions in Contextualized Language Models
Humans carry stereotypic tacit assumptions (STAs) (Prince, 1978), or pro...
read it
-
Hierarchical Entity Typing via Multi-level Learning to Rank
We propose a novel method for hierarchical entity classification that em...
read it
-
Causal Inference of Script Knowledge
When does a sequence of events define an everyday scenario and how can t...
read it
-
Reading the Manual: Event Extraction as Definition Comprehension
We propose a novel approach to event extraction that supplies models wit...
read it
-
Multi-Sentence Argument Linking
We introduce a dataset with annotated Roles Across Multiple Sentences (R...
read it
-
Interactive Refinement of Cross-Lingual Word Embeddings
Cross-lingual word embeddings transfer knowledge between languages: mode...
read it
-
Transductive Parsing for Universal Decompositional Semantics
We introduce a transductive model for parsing into Universal Decompositi...
read it
-
Exact and/or Fast Nearest Neighbors
Prior methods for retrieval of nearest neighbors in high dimensions are ...
read it
-
The Universal Decompositional Semantics Dataset and Decomp Toolkit
We present the Universal Decompositional Semantics (UDS) dataset (v1.0),...
read it
-
Uncertain Natural Language Inference
We propose a refinement of Natural Language Inference (NLI), called Unce...
read it
-
Broad-Coverage Semantic Parsing as Transduction
We unify different broad-coverage semantic parsing tasks under a transdu...
read it
-
A Discriminative Neural Model for Cross-Lingual Word Alignment
We introduce a novel discriminative word alignment model, which we integ...
read it
-
On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference
Popular Natural Language Inference (NLI) datasets have been shown to be ...
read it
-
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference
Natural Language Inference (NLI) datasets often contain hypothesis-only ...
read it
-
Learning to Rank for Plausible Plausibility
Researchers illustrate improvements in contextual encoding strategies vi...
read it
-
AMR Parsing as Sequence-to-Graph Transduction
We propose an attention-based model that treats AMR parsing as sequence-...
read it
-
What do you learn from context? Probing for sentence structure in contextualized word representations
Contextualized representation models such as ELMo (Peters et al., 2018a)...
read it
-
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension
We introduce a set of nine challenge tasks that test for the understandi...
read it
-
Fine-Grained Temporal Relation Extraction
We present a novel semantic framework for modeling temporal relations an...
read it
-
Decomposing Generalization: Models of Generic, Habitual, and Episodic Statements
We present a novel semantic framework for modeling linguistic expression...
read it
-
ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation
We present ParaBank, a large-scale English paraphrase dataset that surpa...
read it
-
Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling
Work on the problem of contextualized word representation -- the develop...
read it
-
ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension
We present a large-scale dataset, ReCoRD, for machine reading comprehens...
read it
-
Predicting Argumenthood of English Preposition Phrases
Distinguishing between core and non-core dependents (i.e., arguments and...
read it
-
Lexicosyntactic Inference in Neural Models
We investigate neural models' ability to capture lexicosyntactic inferen...
read it
-
Efficient Online Scalar Annotation with Bounded Support
We describe a novel method for efficiently eliciting scalar annotations ...
read it
-
Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction
Cross-lingual information extraction (CLIE) is an important and challeng...
read it
-
Hypothesis Only Baselines in Natural Language Inference
We propose a hypothesis only baseline for diagnosing Natural Language In...
read it
-
On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference
We propose a process for investigating the extent to which sentence repr...
read it
-
Gender Bias in Coreference Resolution
We present an empirical study of gender bias in coreference resolution s...
read it
-
Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations
We present a large scale unified natural language inference (NLI) datase...
read it
-
Cross-lingual Semantic Parsing
We introduce the task of cross-lingual semantic parsing: mapping content...
read it
-
Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification Thresholds
Fine-grained entity typing is the task of assigning fine-grained semanti...
read it
-
Neural Davidsonian Semantic Proto-role Labeling
We present state-of-the-art results for semantic proto-role labeling (SP...
read it
-
Neural models of factuality
We present two neural models for event factuality prediction, which yiel...
read it
-
Grammatical Error Correction with Neural Reinforcement Learning
We propose a neural encoder-decoder model with reinforcement learning (N...
read it
-
Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles
We study how different frame annotations complement one another when lea...
read it
-
Streaming Word Embeddings with the Space-Saving Algorithm
We develop a streaming (one-pass, bounded-memory) word embedding algorit...
read it
-
Feature Generation for Robust Semantic Role Labeling
Hand-engineered feature sets are a well understood method for creating r...
read it
-
Ordinal Common-sense Inference
Humans have the capacity to draw common-sense inferences from natural la...
read it
-
Computational linking theory
A linking theory explains how verbs' semantic arguments are mapped to th...
read it
-
Analysis of Morphology in Topic Modeling
Topic models make strong assumptions about their data. In particular, di...
read it
-
Robsut Wrod Reocginiton via semi-Character Recurrent Neural Network
Language processing mechanism by humans is generally more robust than co...
read it
-
A Critical Examination of RESCAL for Completion of Knowledge Bases with Transitive Relations
Link prediction in large knowledge graphs has received a lot of attentio...
read it