naacl 2019 论文列表
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 1 (Long and Short Papers).
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What's in a Name? Reducing Bias in Bios without Access to Protected Attributes.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
Probing the Need for Visual Context in Multimodal Machine Translation.
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge.
CNM: An Interpretable Complex-valued Network for Matching.
A Structural Probe for Finding Syntax in Word Representations.
Training Data Augmentation for Context-Sensitive Neural Lemmatizer Using Inflection Tables and Raw Text.
Show Some Love to Your n-grams: A Bit of Progress and Stronger n-gram Language Modeling Baselines.
Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging.
On the Idiosyncrasies of the Mandarin Chinese Classifier System.
Augmenting word2vec with latent Dirichlet allocation within a clinical application.
A large-scale study of the effects of word frequency and predictability in naturalistic reading.
Benchmarking Hierarchical Script Knowledge.
Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation.
Pragmatically Informative Text Generation.
Pre-trained language model representations for language generation.
Rethinking Complex Neural Network Architectures for Document Classification.
Convolutional Self-Attention Networks.
Neural Grammatical Error Correction with Finite State Transducers.
Understanding Dataset Design Choices for Multi-hop Reasoning.
Saliency Learning: Teaching the Model Where to Pay Attention.
Using Natural Language Relations between Answer Choices for Machine Comprehension.
The Lower The Simpler: Simplifying Hierarchical Recurrent Models.
Positional Encoding to Control Output Sequence Length.
Conversation Initiation by Diverse News Contents Introduction.
Cross-referencing Using Fine-grained Topic Modeling.
News Article Teaser Tweets and How to Generate Them.
Jointly Extracting and Compressing Documents with Summary State Representations.
Understanding the Behaviour of Neural Abstractive Summarizers using Contrastive Examples.
Question Answering as an Automatic Evaluation Metric for News Article Summarization.
Recommendations for Datasets for Source Code Summarization.
Typological Features for Multilingual Delexicalised Dependency Parsing.
Polyglot Contextual Representations Improve Crosslingual Transfer.
Context-Aware Cross-Lingual Mapping.
Combining Discourse Markers and Cross-lingual Embeddings for Synonym-Antonym Classification.
A Large-Scale Comparison of Historical Text Normalization Systems.
Massively Multilingual Neural Machine Translation.
Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages.
Revisiting Adversarial Autoencoder for Unsupervised Word Translation with Cycle Consistency and Improved Training.
Low-Resource Syntactic Transfer with Unsupervised Source Reordering.
Unsupervised Extraction of Partial Translations for Neural Machine Translation.
Cross-lingual Multi-Level Adversarial Transfer to Enhance Low-Resource Name Tagging.
On Knowledge distillation from complex networks for response prediction.
Evaluating Coherence in Dialogue Systems using Entailment.
Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog.
Continuous Learning for Large-scale Personalized Domain Classification.
What do Entity-Centric Models Learn? Insights from Entity Linking in Multi-Party Dialogue.
Top-Down Structurally-Constrained Neural Response Generation with Lexicalized Probabilistic Context-Free Grammar.
Topic Spotting using Hierarchical Networks with Self Attention.
Multi-Level Memory for Task Oriented Dialogs.
Affect-Driven Dialog Generation.
Dialogue Act Classification with Context-Aware Self-Attention.
Decay-Function-Free Time-Aware Attention to Context and Speaker Indicator for Spoken Language Understanding.
Inferring Which Medical Treatments Work from Reports of Clinical Trials.
Document-Level N-ary Relation Extraction with Multiscale Representation Learning.
NLP Whack-A-Mole: Challenges in Cross-Domain Temporal Expression Extraction.
Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs.
Multilingual prediction of Alzheimer's disease through domain adaptation and concept-based language modelling.
Structural Neural Encoders for AMR-to-text Generation.
Recursive Routing Networks: Learning to Compose Modules for Language Understanding.
Let's Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms.
Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation.
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference.
Structural Scaffolds for Citation Intent Classification in Scientific Publications.
Context Dependent Semantic Parsing over Temporally Structured Data.
Information Aggregation for Multi-Head Attention with Routing-by-Agreement.
Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning.
Attention is not Explanation.
Studying the Inductive Biases of RNNs with Synthetic Variations of Natural Languages.
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning.
Bayesian Learning for Neural Dependency Parsing.
Subword-based Compact Reconstruction of Word Embeddings.
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection.
Mining Discourse Markers for Unsupervised Sentence Representation Learning.
Learning to Describe Unknown Phrases with Local and Global Contexts.
Linguistically-Informed Specificity and Semantic Plausibility for Dialogue Generation.
DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion.
Learning Hierarchical Discourse-level Structure for Fake News Detection.
Neural Chinese Address Parsing.
Domain adaptation for part-of-speech tagging of noisy user-generated text.
Multi-Task Learning for Japanese Predicate Argument Structure Analysis.
Decomposed Local Models for Coordinate Structure Parsing.
CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition.
Better, Faster, Stronger Sequence Tagging Constituent Parsers.
Semantic Role Labeling with Associated Memory Network.
Transferable Neural Projection Representations.
Analysis Methods in Neural Language Processing: A Survey.
Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications.
Evaluating and Enhancing the Robustness of Dialogue Systems: A Case Study on a Negotiation Agent.
Benchmarking Approximate Inference Methods for Neural Structured Prediction.
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies.
Corpora Generation for Grammatical Error Correction.
Relation Discovery with Out-of-Relation Knowledge Base as Supervision.
Continual Learning for Sentence Representations Using Conceptors.
Using Large Corpus N-gram Statistics to Improve Recurrent Neural Language Models.
Understanding Learning Dynamics Of Language Models with SVCCA.
An Effective Label Noise Model for DNN Text Classification.
Learning Relational Representations by Analogy using Hierarchical Siamese Networks.
Misspelling Oblivious Word Embeddings.
Exploiting Noisy Data in Distant Supervision Relation Classification.
Segmentation-free compositional n-gram embedding.
Connecting Language and Knowledge with Heterogeneous Representations for Neural Relation Extraction.
Customizing Grapheme-to-Phoneme System for Non-Trivial Transcription Problems in Bangla Language.
Adapting RNN Sequence Prediction Model to Multi-label Set Prediction.
Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus.
Text Classification with Few Examples using Controlled Generalization.
Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture.
Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification.
Mitigating Uncertainty in Document Classification.
Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction.
On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models.
Selective Attention for Context-aware Neural Machine Translation.
Improving Domain Adaptation Translation with Domain Invariant and Specific Information.
Neural Machine Translation of Text from Non-Native Speakers.
Structured Minimally Supervised Learning for Neural Relation Extraction.
OpenCeres: When Open Information Extraction Meets the Semi-Structured Web.
A general framework for information extraction using dynamic span graphs.
GAN Driven Semi-distant Supervision for Relation Extraction.
Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks.
Learning to Decipher Hate Symbols.
Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings.
GenderQuant: Quantifying Mention-Level Genderedness.
Repurposing Entailment for Multi-Hop Question Answering Tasks.
Enhancing Key-Value Memory Neural Networks for Knowledge Based Question Answering.
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.
Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases.
A Richer-but-Smarter Shortest Dependency Path with Attentive Augmentation for Relation Extraction.
Fact Discovery from Knowledge Base via Facet Decomposition.
Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations.
Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks.
Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering.
Predicting Malware Attributes from Cybersecurity Texts.
An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction.
Scalable Collapsed Inference for High-Dimensional Topic Models.
Posterior-regularized REINFORCE for Instance Selection in Distant Supervision.
Ranking-Based Autoencoder for Extreme Multi-label Classification.
Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions.
Document-Level Event Factuality Identification via Adversarial Neural Network.
Relation Classification Using Segment-Level Attention-based CNN and Dependency-based RNN.
Fluent Translations from Disfluent Speech in End-to-End Speech Translation.
A Dynamic Speaker Model for Conversational Interactions.
Acoustic-to-Word Models with Conversational Context Information.
Neural Constituency Parsing of Speech Transcripts.
Shrinking Japanese Morphological Analyzers With Neural Networks and Semi-supervised Learning.
Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging.
Improving Cross-Domain Chinese Word Segmentation with Word Embeddings.
Subword Encoding in Lattice LSTM for Chinese Word Segmentation.
VCWE: Visual Character-Enhanced Word Embeddings.
Incorporating Word Attention into Character-Based Word Segmentation.
Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions.
Alignment over Heterogeneous Embeddings for Question Answering.
Iterative Search for Weakly Supervised Semantic Parsing.
Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems.
Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension.
Improving Machine Reading Comprehension with General Reading Strategies.
Towards Content Transfer through Grounded Text Generation.
Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout.
Strong and Simple Baselines for Multimodal Utterance Embeddings.
The World in My Mind: Visual Dialog with Adversarial Multi-modal Feature Encoding.
Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat.
Guiding Extractive Summarization with Question-Answering Rewards.
Text Generation with Exemplar-based Adaptive Decoding.
Data-efficient Neural Text Compression with Interactive Learning.
Automatic learner summary assessment for reading comprehension.
Abstractive Summarization of Reddit Posts with Multi-level Memory Networks.
Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling.
Adversarial Category Alignment Network for Cross-domain Sentiment Classification.
Zero-Shot Cross-Lingual Opinion Target Extraction.
Adaptive Convolution for Text Classification.
Self-Discriminative Learning for Unsupervised Document Embedding.
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations.
On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing.
A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages.
A Simple and Robust Approach to Detecting Subject-Verb Agreement Errors.
Learning to Denoise Distantly-Labeled Data for Entity Typing.
SC-LSTM: Learning Task-Specific Representations in Multi-Task Learning for Sequence Labeling.
Highly Effective Arabic Diacritization using Sequence to Sequence Modeling.
An Encoding Strategy Based Word-Character LSTM for Chinese NER.
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs.
MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms.
Be Consistent! Improving Procedural Text Comprehension using Label Consistency.
Old is Gold: Linguistic Driven Approach for Entity and Relation Linking of Short Text.
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis.
A Qualitative Comparison of CoQA, SQuAD 2.0 and QuAC.
Question Answering by Reasoning Across Documents with Graph Convolutional Networks.
Open Information Extraction from Question-Answer Pairs.
Text Generation from Knowledge Graphs with Graph Transformers.
Evaluating Rewards for Question Generation Models.
Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation.
Neural Text Generation from Rich Semantic Representations.
Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation.
Evaluating Text GANs as Language Models.
Doc2hash: Learning Discrete Latent variables for Documents Retrieval.
Practical, Efficient, and Customizable Active Learning for Named Entity Recognition in the Digital Humanities.
AttentiveChecker: A Bi-Directional Attention Flow Mechanism for Fact Verification.
Simple Attention-Based Representation Learning for Ranking Short Social Media Posts.
Sequential Attention with Keyword Mask Model for Community-based Question Answering.
Partial Or Complete, That's The Question.
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization.
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets.
A Crowdsourced Frame Disambiguation Corpus with Ambiguity.
Factorising AMR generation through syntax.
On the Importance of Distinguishing Word Meaning Representations: A Case Study on Reverse Dictionary Mapping.
Abusive Language Detection with Graph Convolutional Networks.
An annotated dataset of literary entities.
Argument Mining for Understanding Peer Reviews.
Harry Potter and the Action Prediction Challenge from Natural Language.
Joint Detection and Location of English Puns.
Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media.
Modeling Personal Biases in Language Use by Inducing Personalized Word Embeddings.
Incorporating Emoji Descriptions Improves Tweet Classification.
An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models.
Personalized Neural Embeddings for Collaborative Filtering with Text.
Detecting Derogatory Compounds - An Unsupervised Approach.
Short-Term Meaning Shift: A Distributional Exploration.
Overcoming Catastrophic Forgetting During Domain Adaptation of Neural Machine Translation.
Reinforcement Learning based Curriculum Optimization for Neural Machine Translation.
Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation.
Measuring Immediate Adaptation Performance for Neural Machine Translation.
Improving Neural Machine Translation with Neural Syntactic Distance.
A Robust Abstractive System for Cross-Lingual Summarization.
Contextualization of Morphological Inflection.
MuST-C: a Multilingual Speech Translation Corpus.
Subword-Level Language Identification for Intra-Word Code-Switching.
Cross-lingual Visual Verb Sense Disambiguation.
Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus.
ExCL: Extractive Clip Localization Using Natural Language Descriptions.
Shifting the Baseline: Single Modality Performance on Visual Navigation & QA.
Generating Knowledge Graph Paths from Textual Definitions using Sequence-to-Sequence Models.
Improving Natural Language Interaction with Robots Using Advice.
VQD: Visual Query Detection In Natural Scenes.
Value-based Search in Execution Space for Mapping Instructions to Programs.
Online Distilling from Checkpoints for Neural Machine Translation.
Non-Parametric Adaptation for Neural Machine Translation.
Improving Robustness of Machine Translation with Synthetic Noise.
Curriculum Learning for Domain Adaptation in Neural Machine Translation.
Learning Unsupervised Multilingual Word Embeddings with Incremental Multilingual Hubs.
Learning to Stop in Structured Prediction for Neural Machine Translation.
Word Embedding-Based Automatic MT Evaluation Metric using Word Position Information.
Tweet Stance Detection Using an Attention based Neural Ensemble Model.
Combining Distant and Direct Supervision for Neural Relation Extraction.
A Study of Latent Structured Prediction Approaches to Passage Reranking.
Glocal: Incorporating Global Information in Local Convolution for Keyphrase Extraction.
Text Similarity Estimation Based on Word Embeddings and Matrix Norms for Targeted Marketing.
Hierarchical User and Item Representation with Three-Tier Attention for Recommendation.
Modeling Document-level Causal Structures for Event Causal Relation Identification.
Unsupervised Dialog Structure Learning.
A Streamlined Method for Sourcing Discourse-level Argumentation Annotations from the Crowd.
A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation.
Box of Lies: Multimodal Deception Detection in Dialogues.
Fixed That for You: Generating Contrastive Claims with Semantic Edits.
Single Document Summarization as Tree Induction.
Pun Generation with Surprise.
An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search.
What makes a good conversation? How controllable attributes affect human judgments.
Unifying Human and Statistical Evaluation for Natural Language Generation.
Improving Human Text Comprehension through Semi-Markov CRF-based Neural Section Title Generation.
No Permanent Friends or Enemies: Tracking Relationships between Nations from News.
Something's Brewing! Early Prediction of Controversy-causing Posts from Discussion Features.
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems.
Microblog Hashtag Generation via Encoding Conversation Contexts.
Early Rumour Detection.
Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing.
Density Matching for Bilingual Word Embedding.
Cross-lingual CCG Induction.
Recursive Subtree Composition in LSTM-Based Dependency Parsing.
Analyzing Bayesian Crosslingual Transfer in Topic Models.
Quantifying the morphosyntactic content of Brown Clusters.
A Probabilistic Generative Model of Linguistic Typology.
A Simple Joint Model for Improved Contextual Neural Lemmatization.
One Size Does Not Fit All: Comparing NMT Representations of Different Granularities.
Improving Lemmatization of Non-Standard Languages with Joint Learning.
A Silver Standard Corpus of Human Phenotype-Gene Relations.
Detecting Depression in Social Media using Fine-Grained Emotions.
Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction.
Using Similarity Measures to Select Pretraining Data for NER.
Conversation Model Fine-Tuning for Classifying Client Utterances in Counseling Dialogues.
Relation Extraction using Explicit Context Conditioning.
Detecting cognitive impairments by agreeing on interpretations of linguistic features.
Biomedical Event Extraction based on Knowledge-driven Tree-LSTM.
Predicting the Type and Target of Offensive Posts in Social Media.
Vector of Locally Aggregated Embeddings for Text Representation.
Issue Framing in Online Discussion Fora.
Fake News Detection using Deep Markov Random Fields.
Analyzing the Perceived Severity of Cybersecurity Threats Reported on Social Media.
White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks.
Detecting Cybersecurity Events from Noisy Short Text.
Multi-Channel Convolutional Neural Network for Twitter Emotion and Sentiment Recognition.
Joint Multi-Label Attention Networks for Social Text Annotation.
From legal to technical concept: Towards an automated classification of German political Twitter postings as criminal offenses.
Adaptation of Hierarchical Structured Models for Speech Act Recognition in Asynchronous Conversation.
Star-Transformer.
Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models - Is Single-Corpus Evaluation Enough?
PAWS: Paraphrase Adversaries from Word Scrambling.
Casting Light on Invisible Cities: Computationally Engaging with Literary Criticism.
Does My Rebuttal Matter? Insights from a Major NLP Conference.
WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations.
Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together.
Disentangling Language and Knowledge in Task-Oriented Dialogs.
Jointly Optimizing Diversity and Relevance in Neural Response Generation.
Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory.
Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models.
Modeling Recurrence for Transformer.
Consistency by Agreement in Zero-Shot Neural Machine Translation.
Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation.
Competence-based Curriculum Learning for Neural Machine Translation.
Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations.
Knowledge-Augmented Language Model and Its Application to Unsupervised Named-Entity Recognition.
Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders.
Cooperative Learning of Disjoint Syntax and Semantics.
Unsupervised Recurrent Neural Network Grammars.
Mutual Information Maximization for Simple and Accurate Part-Of-Speech Induction.
Linguistic Knowledge and Transferability of Contextual Representations.
What just happened? Evaluating retrofitted distributional word vectors.
Cross-Topic Distributional Semantic Representations Via Unsupervised Mappings.
Word-Node2Vec: Improving Word Embedding with Document-Level Non-Local Word Co-occurrences.
Integrating Semantic Knowledge to Tackle Zero-shot Text Classification.
Relation Extraction with Temporal Reasoning Based on Memory Augmented Distant Supervision.
A Submodular Feature-Aware Framework for Label Subset Selection in Extreme Classification Problems.
Adversarial Training for Weakly Supervised Event Detection.
Graph Pattern Entity Ranking Model for Knowledge Graph Completion.
Adaptive Convolution for Multi-Relational Learning.
Strong Baselines for Complex Word Identification across Multiple Languages.
Generating Token-Level Explanations for Natural Language Inference.
Correlation Coefficients and Semantic Textual Similarity.
Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process.
Better Word Embeddings by Disentangling Contextual n-Gram Information.
A Systematic Study of Leveraging Subword Information for Learning Word Representations.
The problem with probabilistic DAG automata for semantic graphs.
Recovering dropped pronouns in Chinese conversations via modeling their referents.
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning.
Incorporating Context and External Knowledge for Pronoun Coreference Resolution.
How to Avoid Sentences Spelling Boring? Towards a Neural Approach to Unsupervised Metaphor Generation.
Courteously Yours: Inducing courteous behavior in Customer Care responses using Reinforced Pointer Generator Network.
Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting.
PoMo: Generating Entity-Specific Post-Modifiers in Context.
Adversarial Decomposition of Text Representation.
Description-Based Zero-shot Fine-Grained Entity Typing.
Sentence Embedding Alignment for Lifelong Relation Extraction.
Improving Event Coreference Resolution by Learning Argument Compatibility from Unlabeled Data.
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing.
OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference.
GraphIE: A Graph-Based Framework for Information Extraction.
Sub-event detection from twitter streams as a sequence labeling problem.
Event Detection without Triggers.
Better Modeling of Incomplete Annotations for Named Entity Recognition.
Pooled Contextualized Embeddings for Named Entity Recognition.
Viable Dependency Parsing as Sequence Labeling.
Left-to-Right Dependency Parsing with Pointer Networks.
Syntax-aware Neural Semantic Role Labeling with Supertags.
Fast Concept Mention Grouping for Concept Map-based Multi-Document Summarization.
Serial Recall Effects in Neural Language Modeling.
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation.
SEQˆ3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression.
Keyphrase Generation: A Text Summarization Struggle.
Adversarial Training for Satire Detection: Controlling for Confounding Variables.
Generalizing Unmasking for Short Texts.
Frowning Frodo, Wincing Leia, and a Seriously Great Friendship: Learning to Classify Emotional Relationships of Fictional Characters.
Enhancing Opinion Role Labeling with Semantic-Aware Word Representations from Semantic Role Labeling.
Combining Sentiment Lexica with a Multi-View Variational Autoencoder.
Gender Bias in Contextualized Word Embeddings.
On Measuring Social Biases in Sentence Encoders.
Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings.
Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them.
Detection of Abusive Language: the Problem of Biased Datasets.
Learning Outside the Box: Discourse-level Features Improve Metaphor Identification.
CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog.
Improving Dialogue State Tracking by Discerning the Relevant Context.
CITE: A Corpus of Image-Text Discourse Relations.
Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog.
IMHO Fine-Tuning Improves Claim Detection.
Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims.
Asking the Right Question: Inferring Advice-Seeking Intentions from Personal Narratives.
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems.
Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition.
Evaluating Style Transfer for Text.
Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts.
Content Differences in Syntactic and Semantic Representation.
Understanding and Improving Hidden Representations for Neural Machine Translation.
Aligning Vector-spaces with Noisy Supervised Lexicon.
Code-Switching for Enhancing NMT with Pre-Specified Translation.
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation.
Lost in Machine Translation: A Method to Reduce Meaning Loss.
ReWE: Regressing Word Embeddings for Regularization of Neural Machine Translation Systems.
Learning Bilingual Sentiment-Specific Word Embeddings without Cross-lingual Supervision.
Simplified Neural Unsupervised Domain Adaptation.
Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach.
HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition.
A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification.
Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence.
Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis.
Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation.
BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering.
UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering.
Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering.
Simple Question Answering with Subgraph Ranking and Joint-Scoring.
FreebaseQA: A New Factoid QA Data Set Matching Trivia-Style Question-Answer Pairs with Freebase.
ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters.
A Study of Incorrect Paraphrases in Crowdsourced User Utterances.
Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling.
Neural Finite-State Transducers: Beyond Rational Relations.
Evaluating Composition Models for Verb Phrase Elliptical Sentence Embeddings.
Recurrent models and lower bounds for projective syntactic decoding.
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing.
CCG Parsing Algorithm with Incremental Tree Rotation.
How Bad are PoS Tagger in Cross-Corpora Settings? Evaluating Annotation Divergence in the UD Project.
Discontinuous Constituency Parsing with a Stack-Free Transition System and a Dynamic Oracle.
Phylogenic Multi-Lingual Dependency Parsing.
Implementation of a Chomsky-Schützenberger n-best parser for weighted multiple context-free grammars.
Topic-Guided Variational Auto-Encoder for Text Generation.
Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data.
Answer-based Adversarial Training for Generating Clarification Questions.
"President Vows to Cut Hair": Dataset and Analysis of Creative Text Editing for Humorous Headlines.
AudioCaps: Generating Captions for Audios in The Wild.
Lost in Interpretation: Predicting Untranslated Terminology in Simultaneous Interpretation.
Massively Multilingual Adversarial Speech Recognition.
Giving Attention to the Unexpected: Using Prosody Innovations in Disfluency Detection.
Measuring the perceptual availability of phonological features during language acquisition using unsupervised binary stochastic autoencoders.
Pre-training on high-resource speech recognition improves low-resource speech-to-text translation.
Understanding language-elicited EEG data by predicting it from a fine-tuned language model.
Neural language models as psycholinguistic subjects: Representations of syntactic state.
Neural Self-Training through Spaced Repetition.
The emergence of number and syntax units in LSTM language models.
Entity Recognition at First Sight: Improving NER with Eye Movement Information.
