emnlp 2018 论文列表
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018.
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Phrase-Based & Neural Unsupervised Machine Translation.
Linguistically-Informed Self-Attention for Semantic Role Labeling.
MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling.
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks.
Data Augmentation via Dependency Tree Morphing for Low-Resource Languages.
Grammar Induction with Neural Language Models: An Unusual Replication.
Parameter sharing between dependency parsers for related languages.
Modeling Input Uncertainty in Neural Network Dependency Parsing.
Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection.
Mapping natural language commands to web elements.
Identifying Domain Adjacent Instances for Semantic Parsers.
Towards Semi-Supervised Learning for Deep Semantic Role Labeling.
Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference.
The BQ Corpus: A Large-scale Domain-specific Chinese Corpus For Sentence Semantic Equivalence Identification.
Bridging Knowledge Gaps in Neural Entailment via Symbolic Models.
When data permutations are pathological: the case of neural natural language inference.
Recovering Missing Characters in Old Hawaiian Writing.
LemmaTag: Jointly Tagging and Lemmatizing for Morphologically Rich Languages with BRNNs.
Unsupervised Neural Word Segmentation for Chinese via Segmental Language Modeling.
Sanskrit Sandhi Splitting using seq2(seq)2.
State-of-the-art Chinese Word Segmentation with Bi-LSTMs.
Classifying Referential and Non-referential It Using Gaze.
Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop.
What can we learn from Semantic Tagging?
Similarity-Based Reconstruction Loss for Meaning Representation.
InferLite: Simple Universal Sentence Representations from Natural Language Inference Data.
Word Sense Induction with Neural biLM and Symmetric Patterns.
Learning Concept Abstractness Using Weak Supervision.
Learning Gender-Neutral Word Embeddings.
Refining Pretrained Word Embeddings Using Layer-wise Relevance Propagation.
Word Relation Autoencoder for Unseen Hypernym Extraction Using Word Embeddings.
Learning Word Representations with Cross-Sentence Dependencyfor End-to-End Co-reference Resolution.
Similar but not the Same - Word Sense Disambiguation Improves Event Detection via Neural Representation Matching.
Learning Sequence Encoders for Temporal Knowledge Graph Completion.
A strong baseline for question relevancy ranking.
FewRel: A Large-Scale Supervised Few-shot Relation Classification Dataset with State-of-the-Art Evaluation.
Automatic Reference-Based Evaluation of Pronoun Translation Misses the Point.
Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation.
Exploring Recombination for Efficient Decoding of Neural Machine Translation.
Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation.
A Tree-based Decoder for Neural Machine Translation.
Interpretable Emoji Prediction via Label-Wise Attention LSTMs.
Modeling Empathy and Distress in Reaction to News Stories.
A Co-attention Neural Network Model for Emotion Cause Analysis with Emotional Context Awareness.
Revisiting the Importance of Encoding Logic Rules in Sentiment Classification.
Joint Learning for Targeted Sentiment Analysis.
The importance of Being Recurrent for Modeling Hierarchical Structure.
Dual Fixed-Size Ordinally Forgetting Encoding (FOFE) for Competitive Neural Language Models.
Lexicosyntactic inference in neural models.
Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study.
A Neural Model of Adaptation in Reading.
Multi-Source Domain Adaptation with Mixture of Experts.
Learning Disentangled Representations of Texts with Application to Biomedical Abstracts.
Modeling Online Discourse with Coupled Distributed Topics.
GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model.
Siamese Network-Based Supervised Topic Modeling.
Language Modeling with Sparse Product of Sememe Experts.
On Tree-Based Neural Sentence Modeling.
Pyramidal Recurrent Unit for Language Modeling.
Disfluency Detection using Auto-Correlational Neural Networks.
Direct Output Connection for a High-Rank Language Model.
Challenges of Using Text Classifiers for Causal Inference.
Uncertainty-aware generative models for inferring document class prevalence.
MCapsNet: Capsule Network for Text with Multi-Task Learning.
Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification.
Multi-Task Label Embedding for Text Classification.
Multilingual Clustering of Streaming News.
Word Mover's Embedding: From Word2Vec to Document Embedding.
Learning Universal Sentence Representations with Mean-Max Attention Autoencoder.
Spherical Latent Spaces for Stable Variational Autoencoders.
Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences.
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval.
Simple Recurrent Units for Highly Parallelizable Recurrence.
Chargrid: Towards Understanding 2D Documents.
Modeling Localness for Self-Attention Networks.
Speed Reading: Learning to Read ForBackward via Shuttle.
Hard Non-Monotonic Attention for Character-Level Transduction.
Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks.
Why Swear? Analyzing and Inferring the Intentions of Vulgar Expressions.
Characterizing Interactions and Relationships between People.
Capturing Regional Variation with Distributed Place Representations and Geographic Retrofitting.
Analyzing Correlated Evolution of Multiple Features Using Latent Representations.
Making "fetch" happen: The influence of social and linguistic context on nonstandard word growth and decline.
Getting to "Hearer-old": Charting Referring Expressions Across Time.
Deep Attentive Sentence Ordering Network.
A Neural Local Coherence Model for Text Quality Assessment.
Nexus Network: Connecting the Preceding and the Following in Dialogue Generation.
A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation.
Revisiting Character-Based Neural Machine Translation with Capacity and Compression.
Speeding Up Neural Machine Translation Decoding by Cube Pruning.
Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks.
Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures.
Exploiting Deep Representations for Neural Machine Translation.
A Nil-Aware Answer Extraction Framework for Question Answering.
Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text.
Commonsense for Generative Multi-Hop Question Answering Tasks.
What Makes Reading Comprehension Questions Easier?
Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings.
Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks.
Automatic Pyramid Evaluation Exploiting EDU-based Extractive Reference Summaries.
Frustratingly Easy Model Ensemble for Abstractive Summarization.
MSMO: Multimodal Summarization with Multimodal Output.
Semi-Supervised Learning for Neural Keyphrase Generation.
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization.
APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning.
Controlling Length in Abstractive Summarization Using a Convolutional Neural Network.
Bottom-Up Abstractive Summarization.
Iterative Document Representation Learning Towards Summarization with Polishing.
Improving Neural Abstractive Document Summarization with Structural Regularization.
Closed-Book Training to Improve Summarization Encoder Memory.
Keyphrase Generation with Correlation Constraints.
Abstractive Text-Image Summarization Using Multi-Modal Attentional Hierarchical RNN.
Object Hallucination in Image Captioning.
Learning to Describe Differences Between Pairs of Similar Images.
Entity-aware Image Caption Generation.
Multimodal Differential Network for Visual Question Generation.
Incorporating Background Knowledge into Video Description Generation.
Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity.
Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints.
Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement.
Towards a Better Metric for Evaluating Question Generation Systems.
Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation.
Answer-focused and Position-aware Neural Question Generation.
Unsupervised Natural Language Generation with Denoising Autoencoders.
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task.
Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks.
Generating Classical Chinese Poems via Conditional Variational Autoencoder and Adversarial Training.
Operation-guided Neural Networks for High Fidelity Data-To-Text Generation.
Paraphrase Generation with Deep Reinforcement Learning.
QuaSE: Sequence Editing under Quantifiable Guidance.
AirDialogue: An Environment for Goal-Oriented Dialogue Research.
Learning End-to-End Goal-Oriented Dialog with Multiple Answers.
A Self-Attentive Model with Gate Mechanism for Spoken Language Understanding.
Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning.
A Teacher-Student Framework for Maintainable Dialog Manager.
Semantic Role Labeling for Learner Chinese: the Importance of Syntactic Parsing and L2-L1 Parallel Data.
Hierarchical Quantized Representations for Script Generation.
Syntactic Scaffolds for Semantic Structures.
Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data.
A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification.
BanditSum: Extractive Summarization as a Contextual Bandit.
Phrase-level Self-Attention Networks for Universal Sentence Encoding.
Pathologies of Neural Models Make Interpretation Difficult.
CaLcs: Continuously Approximating Longest Common Subsequence for Sequence Level Optimization.
Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency.
CARER: Contextualized Affect Representations for Emotion Recognition.
Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised.
Cross-topic Argument Mining from Heterogeneous Sources.
Sentiment Classification towards Question-Answering with Hierarchical Matching Network.
A Visual Attention Grounding Neural Model for Multimodal Machine Translation.
Unsupervised Statistical Machine Translation.
Meta-Learning for Low-Resource Neural Machine Translation.
A Study of Reinforcement Learning for Neural Machine Translation.
Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter.
Native Language Identification with User Generated Content.
Identifying the narrative styles of YouTube's vloggers.
Framing and Agenda-Setting in Russian News: a Computational Analysis of Intricate Political Strategies.
Residualized Factor Adaptation for Community Social Media Prediction Tasks.
Hierarchical CVAE for Fine-Grained Hate Speech Classification.
Legal Judgment Prediction via Topological Learning.
Predicting Factuality of Reporting and Bias of News Media Sources.
Multi-view Models for Political Ideology Detection of News Articles.
Automatic Detection of Vague Words and Sentences in Privacy Policies.
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts.
Cross-Lingual Cross-Platform Rumor Verification Pivoting on Multimedia Content.
ExtRA: Extracting Prominent Review Aspects from Customer Feedback.
Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification.
Contextual Inter-modal Attention for Multi-modal Sentiment Analysis.
Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification.
Multi-grained Attention Network for Aspect-Level Sentiment Classification.
An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking.
Limbic: Author-Based Sentiment Aspect Modeling Regularized with Word Embeddings and Discourse Relations.
IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis.
Thread Popularity Prediction and Tracking with a Permutation-invariant Model.
A Genre-Aware Attention Model to Improve the Likability Prediction of Books.
Content Explorer: Recommending Novel Entities for a Document Writer.
LRMM: Learning to Recommend with Missing Modalities.
Causal Explanation Analysis on Social Media.
Neural Ranking Models for Temporal Dependency Structure Parsing.
Investigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning Models.
Hierarchical Dirichlet Gaussian Marked Hawkes Process for Narrative Reconstruction in Continuous Time Domain.
Building Context-aware Clause Representations for Situation Entity Type Classification.
A Computational Exploration of Exaggeration.
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations.
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?
Implicational Universals in Stochastic Constraint-Based Phonology.
Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting.
Multi-Hop Knowledge Graph Reasoning with Reward Shaping.
Playing 20 Question Game with Policy-Based Reinforcement Learning.
Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction.
Embedding Multimodal Relational Data for Knowledge Base Completion.
Knowledge Graph Embedding with Hierarchical Relation Structure.
Multi-Reference Training with Pseudo-References for Neural Translation and Text Generation.
Learning Neural Templates for Text Generation.
Integrating Transformer and Paraphrase Rules for Sentence Simplification.
Variational Autoregressive Decoder for Neural Response Generation.
Automatic Poetry Generation with Mutual Reinforcement Learning.
Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces.
Topic Memory Networks for Short Text Classification.
Investigating Capsule Networks with Dynamic Routing for Text Classification.
Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts.
Zero-shot User Intent Detection via Capsule Neural Networks.
Part-of-Speech Tagging for Code-Switched, Transliterated Texts without Explicit Language Identification.
Code-switched Language Models Using Dual RNNs and Same-Source Pretraining.
On the Strength of Character Language Models for Multilingual Named Entity Recognition.
Word Embeddings for Code-Mixed Language Processing.
Multi-View Learning: Multilingual and Multi-Representation Entity Typing.
Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation.
Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach.
Encoding Gated Translation Memory into Neural Machine Translation.
Context and Copying in Neural Machine Translation.
Training Deeper Neural Machine Translation Models with Transparent Attention.
Prediction Improves Simultaneous Neural Machine Translation.
End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification.
Towards Two-Dimensional Sequence to Sequence Model in Neural Machine Translation.
Getting Gender Right in Neural MT.
Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism.
Accelerating Asynchronous Stochastic Gradient Descent for Neural Machine Translation.
Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine Translation.
Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion.
Adversarial Evaluation of Multimodal Machine Translation.
Fixing Translation Divergences in Parallel Corpora for Neural MT.
Multi-Source Syntactic Neural Machine Translation.
Three Strategies to Improve One-to-Many Multilingual Translation.
Document-Level Neural Machine Translation with Hierarchical Attention Networks.
The Importance of Generation Order in Language Modeling.
How to represent a word and predict it, too: improving tied architectures for language modelling.
Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models.
Chinese Pinyin Aided IME, Input What You Have Not Keystroked Yet.
Multimodal neural pronunciation modeling for spoken languages with logographic origin.
Bayesian Compression for Natural Language Processing.
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study.
Multi-Head Attention with Disagreement Regularization.
Generating Natural Language Adversarial Examples.
An Encoder-Decoder Approach to the Paradigm Cell Filling Problem.
Imitation Learning for Neural Morphological String Transduction.
The Lazy Encoder: A Fine-Grained Analysis of the Role of Morphology in Neural Machine Translation.
A Framework for Understanding the Role of Morphology in Universal Dependency Parsing.
Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data.
Evaluating the Utility of Hand-crafted Features in Sequence Labeling.
Deep Exhaustive Model for Nested Named Entity Recognition.
Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree Decoding.
Adversarial training for multi-context joint entity and relation extraction.
Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets.
WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community.
Learning multiview embeddings for assessing dementia.
SafeCity: Understanding Diverse Forms of Sexual Harassment Personal Stories.
Reducing Gender Bias in Abusive Language Detection.
The glass ceiling in NLP.
Semantic Parsing for Task Oriented Dialog using Hierarchical Representations.
Towards Universal Dialogue State Tracking.
Training Millions of Personalized Dialogue Agents.
Towards Less Generic Responses in Neural Conversation Models: A Statistical Re-weighting Method.
Session-level Language Modeling for Conversational Speech.
Sanskrit Word Segmentation Using Character-level Recurrent and Convolutional Neural Networks.
Syntax Encoding with Application in Authorship Attribution.
Incremental Computation of Infix Probabilities for Probabilistic Finite Automata.
Depth-bounding is effective: Improvements and Evaluation of Unsupervised PCFG Induction.
An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing.
Neural Transition Based Parsing of Web Queries: An Entity Based Approach.
Is this Sentence Difficult? Do you Agree?
Deconvolutional time series regression: A technique for modeling temporally diffuse effects.
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction.
Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation.
Grounding language acquisition by training semantic parsers using captioned videos.
Learning Personas from Dialogue with Attentive Memory Networks.
Commonsense Justification for Action Explanation.
Grounding Semantic Roles in Images.
Discriminative Learning of Open-Vocabulary Object Retrieval and Localization by Negative Phrase Augmentation.
ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection.
Learning Better Internal Structure of Words for Sequence Labeling.
What do character-level models learn about morphology? The case of dependency parsing.
A Challenge Set and Methods for Noun-Verb Ambiguity.
Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit.
Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging.
Neural Quality Estimation of Grammatical Error Correction.
A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling Check.
WECA：A WordNet-Encoded Collocation-Attention Network for Homographic Pun Recognition.
Fine-grained Coordinated Cross-lingual Text Stream Alignment for Endless Language Knowledge Acquisition.
Joint Multilingual Supervision for Cross-lingual Entity Linking.
XNLI: Evaluating Cross-lingual Sentence Representations.
Unsupervised Cross-lingual Transfer of Word Embedding Spaces.
Sentence Compression for Arbitrary Languages via Multilingual Pivoting.
Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations.
Dependency-based Hybrid Trees for Semantic Parsing.
An AMR Aligner Tuned by Transition-based Parser.
Semantics as a Foreign Language.
A Unified Syntax-aware Framework for Semantic Role Labeling.
Evaluating Theory of Mind in Question Answering.
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.
emrQA: A Large Corpus for Question Answering on Electronic Medical Records.
Large-scale Cloze Test Dataset Created by Teachers.
Decoupling Strategy and Generation in Negotiation Dialogues.
Towards Exploiting Background Knowledge for Building Conversation Systems.
Supervised Clustering of Questions into Intents for Dialog System Applications.
Subgoal Discovery for Hierarchical Dialogue Policy Learning.
Using lexical alignment and referring ability to address data sparsity in situated dialog reference resolution.
Possessors Change Over Time: A Case Study with Artworks.
Large-scale Exploration of Neural Relation Classification Architectures.
Extracting Entities and Relations with Joint Minimum Risk Training.
Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding.
Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention.
N-ary Relation Extraction using Graph-State LSTM.
Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction.
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction.
Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning.
Knowledge Base Question Answering via Encoding of Complex Query Graphs.
QuAC: Question Answering in Context.
Cross-Pair Text Representations for Answer Sentence Selection.
Neural Compositional Denotational Semantics for Question Answering.
Multi-Granular Sequence Encoding via Dilated Compositional Units for Reading Comprehension.
MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller.
Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain.
A Multi-answer Multi-task Framework for Real-world Machine Reading Comprehension.
A State-transition Framework to Answer Complex Questions over Knowledge Base.
Interpretation of Natural Language Rules in Conversational Machine Reading.
Attention-Guided Answer Distillation for Machine Reading Comprehension.
Zero-Shot Open Entity Typing as Type-Compatible Grounding.
Learning Named Entity Tagger using Domain-Specific Dictionary.
Visual Supervision in Bootstrapped Information Extraction.
Annotation of a Large Clinical Entity Corpus.
Entity Linking within a Social Media Platform: A Case Study on Yelp.
Neural Adaptation Layers for Cross-domain Named Entity Recognition.
HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding.
Regular Expression Guided Entity Mention Mining from Noisy Web Data.
One-Shot Relational Learning for Knowledge Graphs.
Differentiating Concepts and Instances for Knowledge Graph Embedding.
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs.
A Knowledge Hunting Framework for Common Sense Reasoning.
A Deterministic Algorithm for Bridging Anaphora Resolution.
A Probabilistic Annotation Model for Crowdsourcing Coreference.
Semi-Supervised Sequence Modeling with Cross-View Training.
Deriving Machine Attention from Human Rationales.
Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision.
Gromov-Wasserstein Alignment of Word Embedding Spaces.
AD3: Attentive Deep Document Dater.
Learning Neural Representation for CLIR with Adversarial Framework.
Deep Relevance Ranking using Enhanced Document-Query Interactions.
Learning Context-Aware Convolutional Filters for Text Processing.
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment.
Content Selection in Deep Learning Models of Summarization.
Improving Abstraction in Text Summarization.
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization.
Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling.
Neural Related Work Summarization with a Joint Context-driven Attention Mechanism.
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions.
Learning Scalar Adjective Intensity from Paraphrases.
Predicting Semantic Relations using Global Graph Properties.
Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research.
Heuristically Informed Unsupervised Idiom Usage Recognition.
Better Transition-Based AMR Parsing with Refined Search Space.
What It Takes to Achieve 100 Percent Condition Accuracy on WikiSQL.
DeepCx: A transition-based approach for shallow semantic parsing with complex constructional triggers.
Learning to Learn Semantic Parsers from Natural Language Supervision.
Cross-lingual Decompositional Semantic Parsing.
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-Domain Text-to-SQL Task.
Mapping Language to Code in Programmatic Context.
A Span Selection Model for Semantic Role Labeling.
Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing.
SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications.
Question Generation from SQL Queries Improves Neural Semantic Parsing.
Lessons from Natural Language Inference in the Clinical Domain.
Convolutional Interaction Network for Natural Language Inference.
Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference.
Structured Alignment Networks for Matching Sentences.
Neural Multitask Learning for Simile Recognition.
Spot the Odd Man Out: Exploring the Associative Power of Lexical Resources.
Auto-Encoding Dictionary Definitions into Consistent Word Embeddings.
Preposition Sense Disambiguation and Representation.
Dissecting Contextual Word Embeddings: Architecture and Representation.
Transfer and Multi-Task Learning for Noun-Noun Compound Interpretation.
A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images.
Dynamic Meta-Embeddings for Improved Sentence Representations.
Picking Apart Story Salads.
Disambiguated skip-gram model.
Memory, Show the Way: Memory Based Few Shot Word Representation Learning.
Streaming word similarity mining on the cheap.
Weeding out Conventionalized Metaphors: A Corpus of Novel Metaphor Annotations.
Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention.
Card-660: A Reliable Evaluation Framework for Rare Word Representation Models.
Localizing Moments in Video with Temporal Language.
TVQA: Localized, Compositional Video Question Answering.
RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes.
Learning a Policy for Opportunistic Active Learning.
Tell-and-Answer: Towards Explainable Visual Question Answering using Attributes and Captions.
Synthetic Data Made to Order: The Case of Parsing.
Constituent Parsing as Sequence Labeling.
Dynamic Oracles for Top-Down and In-Order Shift-Reduce Constituent Parsing.
Unsupervised Learning of Syntactic Structure with Invertible Neural Projections.
Valency-Augmented Dependency Parsing.
Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms.
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information.
Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation.
Temporal Information Extraction by Predicting Relative Time-lines.
Automatic Event Salience Identification.
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling.
Rational Recurrences.
Targeted Syntactic Evaluation of Language Models.
Large Margin Neural Language Model.
Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement.
The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions.
Fine-Grained Emotion Detection in Health-Related Online Posts.
Somm: Into the Model.
Identifying Locus of Control in Social Media Language.
Harnessing Popularity in Social Media for Extractive Summarization of Online Conversations.
Improving Large-Scale Fact-Checking using Decomposable Attention Models and Lexical Tagging.
Is Nike female? Exploring the role of sound symbolism in predicting brand name gender.
Syntactical Analysis of the Weaknesses of Sentiment Analyzers.
Representing Social Media Users for Sarcasm Detection.
Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks.
Learning Sentiment Memories for Sentiment Modification without Parallel Data.
Improving Multi-label Emotion Classification via Sentiment Classification with Dual Attention Transfer Network.
Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification.
Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set.
A dataset and baselines for sequential open-domain question answering.
Semantic Linking in Convolutional Neural Networks for Answer Sentence Selection.
Translating Math Word Problem to Expression Tree.
Adversarial Domain Adaptation for Duplicate Question Detection.
Entity Tracking Improves Cloze-style Reading Comprehension.
Facts That Matter.
Do explanations make VQA models more predictable to a human?
Exploiting Contextual Information via Dynamic Memory Network for Event Detection.
Effective Use of Context in Noisy Entity Linking.
Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction.
A Neural Transition-based Model for Nested Mention Recognition.
PubSE: A Hierarchical Model for Publication Extraction from Academic Homepages.
Event Detection with Neural Networks: A Rigorous Empirical Evaluation.
Put It Back: Entity Typing with Language Model Enhancement.
Attention-Based Capsule Network with Dynamic Routing for Relation Extraction.
How agents see things: On visual representations in an emergent language game.
Cascaded Mutual Modulation for Visual Reasoning.
A Dataset for Telling the Stories of Social Media Videos.
Toward Fast and Accurate Neural Discourse Segmentation.
Conversational Decision Making Model for Predicting King's Decision in the Annals of the Joseon Dynasty.
Neural-Davidsonian Semantic Proto-role Labeling.
Generating Syntactic Paraphrases.
SQL-to-Text Generation with Graph-to-Sequence Model.
Retrieval-Based Neural Code Generation.
Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model.
Convolutional Neural Networks with Recurrent Neural Filters.
Towards Dynamic Computation Graphs via Sparse Latent Structure.
A Deep Neural Network Sentence Level Classification Method with Context Information.
Supervised Domain Enablement Attention for Personalized Domain Classification.
Self-Governing Neural Networks for On-Device Short Text Classification.
Compact Personalized Models for Neural Machine Translation.
Rapid Adaptation of Neural Machine Translation to New Languages.
Decipherment of Substitution Ciphers with Neural Language Models.
Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder.
SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation.
Supervised and Unsupervised Methods for Robust Separation of Section Titles and Prose Text in Web Documents.
Topic Intrusion for Automatic Topic Model Evaluation.
Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models.
Coherence-Aware Neural Topic Modeling.
Labeled Anchors and a Scalable, Transparent, and Interactive Classifier.
A Hierarchical Neural Attention-based Text Classifier.
HFT-CNN: Learning Hierarchical Category Structure for Multi-label Short Text Categorization.
Self-Governing Neural Networks for On-Device Short Text Classification.
Identifying Well-formed Natural Language Questions.
Automatic Essay Scoring Incorporating Rating Schema via Reinforcement Learning.
On the Abstractiveness of Neural Document Summarization.
Neural Latent Extractive Document Summarization.
Evaluating Multiple System Summary Lengths: A Case Study.
Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning Representation.
A Graph-Theoretic Summary Evaluation for Rouge.
Training for Diversity in Image Paragraph Captioning.
Improving Reinforcement Learning Based Image Captioning with Natural Language Prior.
S2SPMN: A Simple and Effective Framework for Response Generation with Relevant Information.
BLEU is Not Suitable for the Evaluation of Text Simplification.
Learning To Split and Rephrase From Wikipedia Edit History.
Using Active Learning to Expand Training Data for Implicit Discourse Relation Recognition.
Listening Comprehension over Argumentative Content.
Out-of-domain Detection based on Generative Adversarial Network.
A Dataset for Document Grounded Conversations.
An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation.
Modeling Temporality of Human Intentions by Domain Adaptation.
Extending Neural Generative Conversational Model using External Knowledge Sources.
Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning.
A Syntactically Constrained Bidirectional-Asynchronous Approach for Emotional Conversation Generation.
Improving Author Attribute Prediction by Retrofitting Linguistic Representations with Homophily.
Hybrid Neural Attention for Agreement/Disagreement Inference in Online Debates.
Predicting News Headline Popularity with Syntactic and Semantic Knowledge Using Multi-Task Learning.
Exploring Optimism and Pessimism in Twitter Using Deep Learning.
Joint Learning for Emotion Classification and Emotion Cause Detection.
Surprisingly Easy Hard-Attention for Sequence to Sequence Learning.
Adversarial Training for Multi-task and Multi-lingual Joint Modeling of Utterance Intent Classification.
Learning Unsupervised Word Translations Without Adversaries.
Unsupervised Bilingual Lexicon Induction via Latent Variable Models.
Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging.
Neural Metaphor Detection in Context.
Generalizing Word Embeddings using Bag of Subwords.
Neural Latent Relational Analysis to Capture Lexical Semantic Relations in a Vector Space.
Quantifying Context Overlap for Training Word Embeddings.
Why is unsupervised alignment of English embeddings from different algorithms so hard?
Adaptive Document Retrieval for Deep Question Answering.
Cut to the Chase: A Context Zoom-in Network for Reading Comprehension.
Ranking Paragraphs for Improving Answer Recall in Open-Domain Question Answering.
Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension.
SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach.
MTNT: A Testbed for Machine Translation of Noisy Text.
Improving the Transformer Translation Model with Document-Level Context.
Adaptive Multi-pass Decoder for Neural Machine Translation.
NORMA: Neighborhood Sensitive Maps for Multilingual Word Embeddings.
Bootstrapping Transliteration with Guided Discovery for Low-Resource Languages.
Understanding Back-Translation at Scale.
Semi-Autoregressive Neural Machine Translation.
Non-Adversarial Unsupervised Word Translation.
A Discriminative Latent-Variable Model for Bilingual Lexicon Induction.
Multi-Domain Neural Machine Translation with Word-Level Domain Context Discrimination.
Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation.
Contextual Parameter Generation for Universal Neural Machine Translation.
XL-NBT: A Cross-lingual Neural Belief Tracking Framework.
Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing.
Addressing Troublesome Words in Neural Machine Translation.
A Stable and Effective Learning Strategy for Trainable Greedy Decoding.
Neural Cross-lingual Named Entity Recognition with Minimal Resources.
Cross-lingual Lexical Sememe Prediction.
Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks.
Personalized Microblog Sentiment Classification via Adversarial Cross-lingual Multi-task Learning.
A Fast, Compact, Accurate Model for Language Identification of Codemixed Text.
On the Relation between Linguistic Typology and (Limitations of) Multilingual Language Modeling.
WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse.
Improving Cross-Lingual Word Embeddings by Meeting in the Middle.
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization.
CLUSE: Cross-Lingual Unsupervised Sense Embeddings.
Unsupervised Multilingual Word Embeddings.
Multi-lingual Common Semantic Space Construction via Cluster-Consistent Word Embedding.
Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal Guidance.
Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision.
Variational Sequential Labelers for Semi-Supervised Learning.
Neural Segmental Hypergraphs for Overlapping Mention Recognition.
Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers.
Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism.
PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution.
Temporally Grounding Natural Sentence in Video.
Multimodal Language Analysis with Recurrent Multistage Fusion.
simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions.
Game-Based Video-Context Dialogue.
Associative Multichannel Autoencoder for Multimodal Word Representation.
TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification.
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference.
Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts.
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation.
Reasoning about Actions and State Changes by Injecting Commonsense Knowledge.
Detecting Gang-Involved Escalation on Social Media Using Context.
It's going to be okay: Measuring Access to Support in Online Communities.
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning.
Adversarial Removal of Demographic Attributes from Text Data.
Privacy-preserving Neural Representations of Text.
