yuz9yuz/NLPImpact huggingface dataset:
Title: Using Content-level Structures for Summarizing Microblog Repost Trees
Venue: EMNLP (2015)
Topic: summarization
Title: Intra-sentential Zero Anaphora Resolution using Subject Sharing Recognition
Venue: EMNLP (2015)
Topic: nlp applications
Title: Estimation of Discourse Segmentation Labels from Crowd Data
Venue: EMNLP (2015)
Topic: discourse and pragmatics
Title: Comparing Word Representations for Implicit Discourse Relation Classification
Venue: EMNLP (2015)
Topic: discourse and pragmatics
Title: Better Document-level Sentiment Analysis from RST Discourse Parsing
Venue: EMNLP (2015)
Topic: sentiment analysis, stylistic analysis, and argument mining
Title: Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations
Venue: EMNLP (2015)
Topic: discourse and pragmatics
Title: Wikification of Concept Mentions within Spoken Dialogues Using Domain Constraints from Wikipedia
Venue: EMNLP (2015)
Topic: information extraction
Title: Shallow Convolutional Neural Network for Implicit Discourse Relation Recognition
Venue: EMNLP (2015)
Topic: discourse and pragmatics
Title: On the Role of Discourse Markers for Discriminating Claims and Premises in Argumentative Discourse
Venue: EMNLP (2015)
Topic: discourse and pragmatics
Title: Fatal or not? Finding errors that lead to dialogue breakdowns in chat-oriented dialogue systems
Venue: EMNLP (2015)
Topic: dialogue and interactive systems
Title: Learning Word Meanings and Grammar for Describing Everyday Activities in Smart Environments
Venue: EMNLP (2015)
Topic: semantics: lexical, sentence-level semantics, textual inference and other areas
Title: Discourse Element Identification in Student Essays based on Global and Local Cohesion
Venue: EMNLP (2015)
Topic: discourse and pragmatics
Title: Adapting Coreference Resolution for Narrative Processing
Venue: EMNLP (2015)
Topic: discourse and pragmatics
Title: Joint Lemmatization and Morphological Tagging with Lemming
Venue: EMNLP (2015)
Topic: phonology, morphology, and word segmentation
Title: Transducer Disambiguation with Sparse Topological Features
Venue: EMNLP (2015)
Topic: semantics: lexical, sentence-level semantics, textual inference and other areas
Title: Arabic Diacritization with Recurrent Neural Networks
Venue: EMNLP (2015)
Topic: phonology, morphology, and word segmentation
Title: Automatic Diacritics Restoration for Hungarian
Venue: EMNLP (2015)
Topic: multilinguality and language diversity
Title: Morphological Analysis for Unsegmented Languages using Recurrent Neural Network Language Model
Venue: EMNLP (2015)
Topic: phonology, morphology, and word segmentation
Title: Can Symbol Grounding Improve Low-Level NLP? Word Segmentation as a Case Study
Venue: EMNLP (2015)
Topic: syntax: tagging, chunking and parsing
Title: When Are Tree Structures Necessary for Deep Learning of Representations?
Venue: EMNLP (2015)
Topic: machine learning for nlp
Title: Discriminative Neural Sentence Modeling by Tree-Based Convolution
Venue: EMNLP (2015)
Topic: machine learning for nlp
Title: Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents
Venue: EMNLP (2015)
Topic: language modeling
Title: Verbal and Nonverbal Clues for Real-life Deception Detection
Venue: EMNLP (2015)
Topic: computational social science and cultural analytics
Title: Social Media Text Classification under Negative Covariate Shift
Venue: EMNLP (2015)
Topic: multimodality and language grounding to vision, robotics and beyond
Title: Co-Training for Topic Classification of Scholarly Data
Venue: EMNLP (2015)
Topic: low-resource methods for nlp
Title: Humor Recognition and Humor Anchor Extraction
Venue: EMNLP (2015)
Topic: sentiment analysis, stylistic analysis, and argument mining
Title: Topic Identification and Discovery on Text and Speech
Venue: EMNLP (2015)
Topic: speech processing and spoken language understanding
Title: A Dynamic Programming Algorithm for Computing N-gram Posteriors from Lattices
Venue: EMNLP (2015)
Topic: machine learning for nlp
Title: Bilingual Structured Language Models for Statistical Machine Translation
Venue: EMNLP (2015)
Topic: machine translation
Title: Compact, Efficient and Unlimited Capacity: Language Modeling with Compressed Suffix Trees
Venue: EMNLP (2015)
Topic: generation
Title: ERSOM: A Structural Ontology Matching Approach Using Automatically Learned Entity Representation
Venue: EMNLP (2015)
Topic: information extraction
Title: A Single Word is not Enough: Ranking Multiword Expressions Using Distributional Semantics
Venue: EMNLP (2015)
Topic: semantics: lexical, sentence-level semantics, textual inference and other areas
Title: Syntactic Dependencies and Distributed Word Representations for Analogy Detection and Mining
Venue: EMNLP (2015)
Topic: semantics: lexical, sentence-level semantics, textual inference and other areas
Title: Navigating the Semantic Horizon using Relative Neighborhood Graphs
Venue: EMNLP (2015)
Topic: machine learning for nlp
Title: Multi- and Cross-Modal Semantics Beyond Vision: Grounding in Auditory Perception
Venue: EMNLP (2015)
Topic: multimodality and language grounding to vision, robotics and beyond
Title: Automatic recognition of habituals: a three-way classification of clausal aspect
Venue: EMNLP (2015)
Topic: interpretability and analysis of models for nlp
Title: Distributed Representations for Unsupervised Semantic Role Labeling
Venue: EMNLP (2015)
Topic: semantics: lexical, sentence-level semantics, textual inference and other areas
Title: A Tableau Prover for Natural Logic and Language
Venue: EMNLP (2015)
Topic: semantics: lexical, sentence-level semantics, textual inference and other areas
Title: JEAM: A Novel Model for Cross-Domain Sentiment Classification Based on Emotion Analysis
Venue: EMNLP (2015)
Topic: sentiment analysis, stylistic analysis, and argument mining
Title: PhraseRNN: Phrase Recursive Neural Network for Aspect-based Sentiment Analysis
Venue: EMNLP (2015)
Topic: sentiment analysis, stylistic analysis, and argument mining
Title: ASTD: Arabic Sentiment Tweets Dataset
Venue: EMNLP (2015)
Topic: summarization
Title: Adjective Intensity and Sentiment Analysis
Venue: EMNLP (2015)
Topic: sentiment analysis, stylistic analysis, and argument mining
Title: The Rating Game: Sentiment Rating Reproducibility from Text
Venue: EMNLP (2015)
Topic: resources and evaluation
Title: A Multi-lingual Annotated Dataset for Aspect-Oriented Opinion Mining
Venue: EMNLP (2015)
Topic: sentiment analysis, stylistic analysis, and argument mining
Title: Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis
Venue: EMNLP (2015)
Topic: sentiment analysis, stylistic analysis, and argument mining
Title: SLSA: A Sentiment Lexicon for Standard Arabic
Venue: EMNLP (2015)
Topic: sentiment analysis, stylistic analysis, and argument mining
Title: Reinforcing the Topic of Embeddings with Theta Pure Dependence for Text Classification
Venue: EMNLP (2015)
Topic: interpretability and analysis of models for nlp
Title: That’s So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets
Venue: EMNLP (2015)
Topic: computational social science and cultural analytics
Title: Detection of Steganographic Techniques on Twitter
Venue: EMNLP (2015)
Topic: computational social science and cultural analytics
Title: #SupportTheCause: Identifying Motivations to Participate in Online Health Campaigns
Venue: EMNLP (2015)
Topic: computational social science and cultural analytics
Title: An Analysis of Domestic Abuse Discourse on Reddit
Venue: EMNLP (2015)
Topic: computational social science and cultural analytics
Title: Twitter-scale New Event Detection via K-term Hashing
Venue: EMNLP (2015)
Topic: information extraction
Title: Classifying Tweet Level Judgements of Rumours in Social Media
Venue: EMNLP (2015)
Topic: computational social science and cultural analytics
Title: Identification and Verification of Simple Claims about Statistical Properties
Venue: EMNLP (2015)
Topic: interpretability and analysis of models for nlp
Title: Learning Semantic Relations from Text
Venue: EMNLP (2015)
Topic: semantics: lexical, sentence-level semantics, textual inference and other areas
Abstract: Every non-trivial text describes interactions and relations between people, institutions, activities, events and so on. What we know about the world consists in large part of such relations, and that knowledge contributes to the understanding of what texts refer to. Newly found relations can in turn become part of this knowledge that is stored for future use.

To grasp a text’s semantic content, an automatic system must be able to recognize relations in texts and reason about them. This may be done by applying and updating previously acquired knowledge. We focus here in particular on semantic relations which describe the interactions among nouns and compact noun phrases, and we present such relations from both a theoretical and a practical perspective. The theoretical exploration sketches the historical path which has brought us to the contemporary view and interpretation of semantic relations. We discuss a wide range of relation inventories proposed by linguists and by language processing people. Such inventories vary by domain, granularity and suitability for downstream applications.

On the practical side, we investigate the recognition and acquisition of relations from texts. In a look at supervised learning methods, we present available datasets, the variety of features which can describe relation instances, and learning algorithms found appropriate for the task. Next, we present weakly supervised and unsupervised learning methods of acquiring relations from large corpora with little or no previously annotated data. We show how enduring the bootstrapping algorithm based on seed examples or patterns has proved to be, and how it has been adapted to tackle Web-scale text collections. We also show a few machine learning techniques which can perform fast and reliable relation extraction by taking advantage of data redundancy and variability.
Title: Applications of Social Media Text Analysis
Venue: EMNLP (2015)
Topic: computational social science and cultural analytics
Abstract: Analyzing social media texts is a complex problem that becomes difficult to address using traditional Natural Language Processing (NLP) methods. Our tutorial focuses on presenting new methods for NLP tasks and applications that work on noisy and informal texts, such as the ones from social media.

Automatic processing of large collections of social media texts is important because they contain a lot of useful information, due to the in-creasing popularity of all types of social media. Use of social media and messaging apps grew 203 percent year-on-year in 2013, with overall app use rising 115 percent over the same period, as reported by Statista, citing data from Flurry Analytics. This growth means that 1.61 billion people are now active in social media around the world and this is expected to advance to 2 billion users in 2016, led by India. The research shows that consumers are now spending daily 5.6 hours on digital media including social media and mo-bile internet usage.

At the heart of this interest is the ability for users to create and share content via a variety of platforms such as blogs, micro-blogs, collaborative wikis, multimedia sharing sites, social net-working sites. The unprecedented volume and variety of user-generated content, as well as the user interaction network constitute new opportunities for understanding social behavior and building socially intelligent systems. Therefore it is important to investigate methods for knowledge extraction from social media data. Furthermore, we can use this information to detect and retrieve more related content about events, such as photos and video clips that have caption texts.
Title: Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles
Venue: EMNLP (2016)
Topic: syntax: tagging, chunking and parsing
Title: Rule Extraction for Tree-to-Tree Transducers by Cost Minimization
Venue: EMNLP (2016)
Topic: information extraction
Title: A Neural Network for Coordination Boundary Prediction
Venue: EMNLP (2016)
Topic: nlp applications
Title: Using Left-corner Parsing to Encode Universal Structural Constraints in Grammar Induction
Venue: EMNLP (2016)
Topic: syntax: tagging, chunking and parsing
Title: Distinguishing Past, On-going, and Future Events: The EventStatus Corpus
Venue: EMNLP (2016)
Topic: resources and evaluation
Title: Nested Propositions in Open Information Extraction
Venue: EMNLP (2016)
Topic: information extraction
Title: A Position Encoding Convolutional Neural Network Based on Dependency Tree for Relation Classification
Venue: EMNLP (2016)
Topic: syntax: tagging, chunking and parsing
Title: Learning to Recognize Discontiguous Entities
Venue: EMNLP (2016)
Topic: interpretability and analysis of models for nlp
Title: Modeling Human Reading with Neural Attention
Venue: EMNLP (2016)
Topic: linguistic theories, cognitive modeling and psycholinguistics
Title: Comparing Computational Cognitive Models of Generalization in a Language Acquisition Task
Venue: EMNLP (2016)
Topic: linguistic theories, cognitive modeling and psycholinguistics
Title: Rationalizing Neural Predictions
Venue: EMNLP (2016)
Topic: interpretability and analysis of models for nlp
Title: Deep Multi-Task Learning with Shared Memory for Text Classification
Venue: EMNLP (2016)
Topic: machine learning for nlp
Title: Natural Language Comprehension with the EpiReader
Venue: EMNLP (2016)
Topic: linguistic theories, cognitive modeling and psycholinguistics
Title: Creating Causal Embeddings for Question Answering with Minimal Supervision
Venue: EMNLP (2016)
Topic: question answering
Title: Improving Semantic Parsing via Answer Type Inference
Venue: EMNLP (2016)
Topic: syntax: tagging, chunking and parsing
Title: Semantic Parsing to Probabilistic Programs for Situated Question Answering
Venue: EMNLP (2016)
Topic: semantics: lexical, sentence-level semantics, textual inference and other areas
Title: Event participant modelling with neural networks
Venue: EMNLP (2016)
Topic: linguistic theories, cognitive modeling and psycholinguistics
Title: Context-Dependent Sense Embedding
Venue: EMNLP (2016)
Topic: interpretability and analysis of models for nlp
Title: Jointly Embedding Knowledge Graphs and Logical Rules
Venue: EMNLP (2016)
Topic: interpretability and analysis of models for nlp
Title: Learning Connective-based Word Representations for Implicit Discourse Relation Identification
Venue: EMNLP (2016)
Topic: discourse and pragmatics
Title: Aspect Level Sentiment Classification with Deep Memory Network
Venue: EMNLP (2016)
Topic: sentiment analysis, stylistic analysis, and argument mining
Title: Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets
Venue: EMNLP (2016)
Topic: ethics, bias, and fairness
Title: Learning Sentence Embeddings with Auxiliary Tasks for Cross-Domain Sentiment Classification
Venue: EMNLP (2016)
Topic: sentiment analysis, stylistic analysis, and argument mining
Title: Attention-based LSTM Network for Cross-Lingual Sentiment Classification
Venue: EMNLP (2016)
Topic: sentiment analysis, stylistic analysis, and argument mining
Title: Neural versus Phrase-Based Machine Translation Quality: a Case Study
Venue: EMNLP (2016)
Topic: machine translation
Title: Zero-Resource Translation with Multi-Lingual Neural Machine Translation
Venue: EMNLP (2016)
Topic: machine translation
Title: Memory-enhanced Decoder for Neural Machine Translation
Venue: EMNLP (2016)
Topic: machine translation
Title: Semi-Supervised Learning of Sequence Models with Method of Moments
Venue: EMNLP (2016)
Topic: machine learning for nlp
Title: Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems
Venue: EMNLP (2016)
Topic: machine learning for nlp
Title: TweeTime : A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in Twitter
Venue: EMNLP (2016)
Topic: computational social science and cultural analytics
Title: Language as a Latent Variable: Discrete Generative Models for Sentence Compression
Venue: EMNLP (2016)
Topic: semantics: lexical, sentence-level semantics, textual inference and other areas
Title: Globally Coherent Text Generation with Neural Checklist Models
Venue: EMNLP (2016)
Topic: machine learning for nlp
Title: A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs
Venue: EMNLP (2016)
Topic: resources and evaluation
Title: PaCCSS-IT: A Parallel Corpus of Complex-Simple Sentences for Automatic Text Simplification
Venue: EMNLP (2016)
Topic: semantics: lexical, sentence-level semantics, textual inference and other areas
Title: Discourse Parsing with Attention-based Hierarchical Neural Networks
Venue: EMNLP (2016)
Topic: syntax: tagging, chunking and parsing
Title: Multi-view Response Selection for Human-Computer Conversation
Venue: EMNLP (2016)
Topic: dialogue and interactive systems
Title: Variational Neural Discourse Relation Recognizer
Venue: EMNLP (2016)
Topic: discourse and pragmatics
Title: Event Detection and Co-reference with Minimal Supervision
Venue: EMNLP (2016)
Topic: information extraction
Title: Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network
Venue: EMNLP (2016)
Topic: information extraction
Title: Relation Schema Induction using Tensor Factorization with Side Information
Venue: EMNLP (2016)
Topic: generation
Title: Supervised Distributional Hypernym Discovery via Domain Adaptation
Venue: EMNLP (2016)
Topic: information extraction
Title: Latent Tree Language Model
Venue: EMNLP (2016)
Topic: machine learning for nlp
Title: Comparing Data Sources and Architectures for Deep Visual Representation Learning in Semantics
Venue: EMNLP (2016)
Topic: multimodality and language grounding to vision, robotics and beyond
Title: Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
Venue: EMNLP (2016)
Topic: multimodality and language grounding to vision, robotics and beyond
Title: The Structured Weighted Violations Perceptron Algorithm
Venue: EMNLP (2016)
Topic: machine learning for nlp
Title: How Transferable are Neural Networks in NLP Applications?
Venue: EMNLP (2016)
Topic: interpretability and analysis of models for nlp
Title: Morphological Priors for Probabilistic Neural Word Embeddings
Venue: EMNLP (2016)
Topic: interpretability and analysis of models for nlp
Title: Automatic Cross-Lingual Similarization of Dependency Grammars for Tree-based Machine Translation
Venue: EMNLP (2016)
Topic: machine translation
Title: IRT-based Aggregation Model of Crowdsourced Pairwise Comparison for Evaluating Machine Translations
Venue: EMNLP (2016)
Topic: machine translation
Title: Variational Neural Machine Translation
Venue: EMNLP (2016)
Topic: machine translation
Title: Towards a Convex HMM Surrogate for Word Alignment
Venue: EMNLP (2016)
Topic: machine learning for nlp
Title: Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding
Venue: EMNLP (2016)
Topic: question answering
Title: Long Short-Term Memory-Networks for Machine Reading
Venue: EMNLP (2016)
Topic: language modeling
Title: On Generating Characteristic-rich Question Sets for QA Evaluation
Venue: EMNLP (2016)
Topic: question answering
Title: Learning to Translate for Multilingual Question Answering
Venue: EMNLP (2016)
Topic: question answering
Title: A Semiparametric Model for Bayesian Reader Identification
Venue: EMNLP (2016)
Topic: machine learning for nlp
Title: Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora
Venue: EMNLP (2016)
Topic: sentiment analysis, stylistic analysis, and argument mining
Title: Attention-based LSTM for Aspect-level Sentiment Classification
Venue: EMNLP (2016)
Topic: sentiment analysis, stylistic analysis, and argument mining
Title: Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis
Venue: EMNLP (2016)
Topic: sentiment analysis, stylistic analysis, and argument mining
Title: Extracting Aspect Specific Opinion Expressions
Venue: EMNLP (2016)
Topic: sentiment analysis, stylistic analysis, and argument mining
Title: Emotion Distribution Learning from Texts
Venue: EMNLP (2016)
Topic: computational social science and cultural analytics
Title: Building an Evaluation Scale using Item Response Theory
Venue: EMNLP (2016)
Topic: interpretability and analysis of models for nlp
Title: WordRank: Learning Word Embeddings via Robust Ranking
Venue: EMNLP (2016)
Topic: information retrieval and text mining
Title: Exploring Semantic Representation in Brain Activity Using Word Embeddings
Venue: EMNLP (2016)
Topic: linguistic theories, cognitive modeling and psycholinguistics
Title: AMR Parsing with an Incremental Joint Model
Venue: EMNLP (2016)
Topic: syntax: tagging, chunking and parsing
Title: Identifying Dogmatism in Social Media: Signals and Models
Venue: EMNLP (2016)
Topic: computational social science and cultural analytics
Title: Enhanced Personalized Search using Social Data
Venue: EMNLP (2016)
Topic: information retrieval and text mining
Title: Effective Greedy Inference for Graph-based Non-Projective Dependency Parsing
Venue: EMNLP (2016)
Topic: syntax: tagging, chunking and parsing
Title: Generating Abbreviations for Chinese Named Entities Using Recurrent Neural Network with Dynamic Dictionary
Venue: EMNLP (2016)
Topic: information extraction
Title: Neural Network for Heterogeneous Annotations
Venue: EMNLP (2016)
Topic: nlp applications
Title: LAMB: A Good Shepherd of Morphologically Rich Languages
Venue: EMNLP (2016)
Topic: phonology, morphology, and word segmentation
Title: Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning
Venue: EMNLP (2016)
Topic: nlp applications
Title: Unsupervised Neural Dependency Parsing
Venue: EMNLP (2016)
Topic: syntax: tagging, chunking and parsing
Title: Generating Coherent Summaries of Scientific Articles Using Coherence Patterns
Venue: EMNLP (2016)
Topic: resources and evaluation
Title: News Stream Summarization using Burst Information Networks
Venue: EMNLP (2016)
Topic: summarization
Title: Rationale-Augmented Convolutional Neural Networks for Text Classification
Venue: EMNLP (2016)
Topic: low-resource methods for nlp
Title: Transferring User Interests Across Websites with Unstructured Text for Cold-Start Recommendation
Venue: EMNLP (2016)
Topic: information retrieval and text mining
Title: Speculation and Negation Scope Detection via Convolutional Neural Networks
Venue: EMNLP (2016)
Topic: sentiment analysis, stylistic analysis, and argument mining
Title: Analyzing Linguistic Knowledge in Sequential Model of Sentence
Venue: EMNLP (2016)
Topic: linguistic theories, cognitive modeling and psycholinguistics
Title: Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter
Venue: EMNLP (2016)
Topic: information extraction
Title: Solving and Generating Chinese Character Riddles
Venue: EMNLP (2016)
Topic: nlp applications
Title: Structured prediction models for RNN based sequence labeling in clinical text
Venue: EMNLP (2016)
Topic: nlp applications
Title: Learning to Represent Review with Tensor Decomposition for Spam Detection
Venue: EMNLP (2016)
Topic: low-resource methods for nlp
Title: Stance Detection with Bidirectional Conditional Encoding
Venue: EMNLP (2016)
Topic: machine learning for nlp
Title: Modeling Skip-Grams for Event Detection with Convolutional Neural Networks
Venue: EMNLP (2016)
Topic: information extraction
Title: Porting an Open Information Extraction System from English to German
Venue: EMNLP (2016)
Topic: information extraction
Title: Named Entity Recognition for Novel Types by Transfer Learning
Venue: EMNLP (2016)
Topic: information extraction
Title: Extracting Subevents via an Effective Two-phase Approach
Venue: EMNLP (2016)
Topic: information extraction
Title: Gaussian Visual-Linguistic Embedding for Zero-Shot Recognition
Venue: EMNLP (2016)
Topic: multimodality and language grounding to vision, robotics and beyond