Skip to content

Latest commit

 

History

History
752 lines (375 loc) · 35.4 KB

COLING2018.md

File metadata and controls

752 lines (375 loc) · 35.4 KB
Raw

A New Approach to Animacy Detection

Zero Pronoun Resolution with Attention-based Neural Network

They Exist! Introducing Plural Mentions to Coreference Resolution and Entity Linking

Triad-based Neural Network for Coreference Resolution

Unsupervised Morphology Learning with Statistical Paradigms

Neural Transition-based String Transduction for Limited-Resource Setting in Morphology

Two Local Models for Neural Constituent Parsing

Learning to Search in Long Documents Using Document Structure

Incorporating Image Matching Into Knowledge Acquisition for Event-Oriented Relation Recognition

Representation Learning of Entities and Documents from Knowledge Base Descriptions

From Text to Lexicon: Bridging the Gap between Word Embeddings and Lexical Resources

Identifying Emergent Research Trends by Key Authors and Phrases

Embedding WordNet Knowledge for Textual Entailment

Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge Bases

Topic or Style? Exploring the Most Useful Features for Authorship Attribution

A Deep Dive into Word Sense Disambiguation with LSTM

WikiRef: Wikilinks as a route to recommending appropriate references for scientific Wikipedia pages

Authorship Identification for Literary Book Recommendations

Adversarial Feature Adaptation for Cross-lingual Relation Classification

One-shot Learning for Question-Answering in Gaokao History Challenge

Dynamic Multi-Level Multi-Task Learning for Sentence Simplification

Few-Shot Charge Prediction with Discriminative Legal Attributes

Transition-based Neural RST Parsing with Implicit Syntax Features

Systematic Study of Long Tail Phenomena in Entity Linking

Neural Collective Entity Linking

A Practical Incremental Learning Framework For Sparse Entity Extraction

Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?

Ant Colony System for Multi-Document Summarization

Multi-task dialog act and sentiment recognition on Mastodon

Projecting Embeddings for Domain Adaption: Joint Modeling of Sentiment Analysis in Diverse Domains

Document-level Multi-aspect Sentiment Classification by Jointly Modeling Users, Aspects, and Overall Ratings

Multi-Task Neural Models for Translating Between Styles Within and Across Languages

Bringing replication and reproduction together with generalisability in NLP: Three reproduction studies for Target Dependent Sentiment Analysis

Adversarial Multi-lingual Neural Relation Extraction

Ask No More: Deciding when to guess in referential visual dialogue

Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding

JTAV: Jointly Learning Social Media Content Representation by Fusing Textual, Acoustic, and Visual Features

An Evaluation of Neural Machine Translation Models on Historical Spelling Normalization

Deep Neural Networks at the Service of Multilingual Parallel Sentence Extraction

Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization

Extracting Parallel Sentences with Bidirectional Recurrent Neural Networks to Improve Machine Translation

Assessing Quality Estimation Models for Sentence-Level Prediction

Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language Detection

Contextual String Embeddings for Sequence Labeling

Learning Word Meta-Embeddings by Autoencoding

GenSense: A Generalized Sense Retrofitting Model

Variational Attention for Sequence-to-Sequence Models

Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types

Structure-Infused Copy Mechanisms for Abstractive Summarization

A Multi-Attention based Neural Network with External Knowledge for Story Ending Predicting Task

Embedding Words as Distributions with a Bayesian Skip-gram Model

Assessing Composition in Sentence Vector Representations

Subword-augmented Embedding for Cloze Reading Comprehension

Enhancing Sentence Embedding with Generalized Pooling

Recognizing Humour using Word Associations and Humour Anchor Extraction

Robust Lexical Features for Improved Neural Network Named-Entity Recognition

A Pseudo Label based Dataless Naive Bayes Algorithm for Text Classification with Seed Words

Location Name Extraction from Targeted Text Streams using Gazetteer-based Statistical Language Models

Lyrics Segmentation: Textual Macrostructure Detection using Convolutions

Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags

Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning

Learning to Progressively Recognize New Named Entities with Sequence to Sequence Models

Aspect-based summarization of pros and cons in unstructured product reviews

Representations and Architectures in Neural Sentiment Analysis for Morphologically Rich Languages: A Case Study from Modern Hebrew

Scoring and Classifying Implicit Positive Interpretations: A Challenge of Class Imbalance

Open Information Extraction from Conjunctive Sentences

Graphene: Semantically-Linked Propositions in Open Information Extraction

An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification

Multimodal Grounding for Language Processing

Stress Test Evaluation for Natural Language Inference

Grounded Textual Entailment

Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs

Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations

Convolutional Neural Network for Universal Sentence Embeddings

Rich Character-Level Information for Korean Morphological Analysis and Part-of-Speech Tagging

Real-time Change Point Detection using On-line Topic Models

Pluralizing Nouns across Agglutinating Bantu Languages

Automatically Extracting Qualia Relations for the Rich Event Ontology

Using Formulaic Expressions in Writing Assistance Systems

A Reassessment of Reference-Based Grammatical Error Correction Metrics

Information Aggregation via Dynamic Routing for Sequence Encoding

A Full End-to-End Semantic Role Labeler, Syntactic-agnostic Over Syntactic-aware?

Novelty Goes Deep. A Deep Neural Solution To Document Level Novelty Detection

Learning Target-Specific Representations of Financial News Documents For Cumulative Abnormal Return Prediction

Towards a unified framework for bilingual terminology extraction of single-word and multi-word terms

Neural Activation Semantic Models: Computational lexical semantic models of localized neural activations

Folksonomication: Predicting Tags for Movies from Plot Synopses using Emotion Flow Encoded Neural Network

Emotion Representation Mapping for Automatic Lexicon Construction (Mostly) Performs on Human Level

How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs

Expressively vulgar: The socio-dynamics of vulgarity and its effects on sentiment analysis in social media

Sliced Recurrent Neural Networks

Multi-Task Learning for Sequence Tagging: An Empirical Study

Using J-K-fold Cross Validation To Reduce Variance When Tuning NLP Models

Gold Standard Annotations for Preposition and Verb Sense with Semantic Role Labels in Adult-Child Interactions

Generic refinement of expressive grammar formalisms with an application to discontinuous constituent parsing

Combining Information-Weighted Sequence Alignment and Sound Correspondence Models for Improved Cognate Detection

deepQuest: A Framework for Neural-based Quality Estimation

Butterfly Effects in Frame Semantic Parsing: impact of data processing on model ranking

Sensitivity to Input Order: Evaluation of an Incremental and Memory-Limited Bayesian Cross-Situational Word Learning Model

Quantifying training challenges of dependency parsers

Seq2seq Dependency Parsing

Deconvolution-Based Global Decoding for Neural Machine Translation

Integrating Question Classification and Deep Learning for improved Answer Selection

Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering

All-in-one: Multi-task Learning for Rumour Verification

Word-Level Loss Extensions for Neural Temporal Relation Classification

iParaphrasing: Extracting Visually Grounded Paraphrases via an Image

Bridging resolution: Task definition, corpus resources and rule-based experiments

ISO-Standard Domain-Independent Dialogue Act Tagging for Conversational Agents

Arrows are the Verbs of Diagrams

Adaptive Multi-Task Transfer Learning for Chinese Word Segmentation in Medical Text

Addressee and Response Selection for Multilingual Conversation

DIDEC: The Dutch Image Description and Eye-tracking Corpus

Narrative Schema Stability in News Text

NIPS Conversational Intelligence Challenge 2017 Winner System: Skill-based Conversational Agent with Supervised Dialog Manager

AMR Beyond the Sentence: the Multi-sentence AMR corpus

Learning Visually-Grounded Semantics from Contrastive Adversarial Samples

Structured Representation Learning for Online Debate Stance Prediction

Modeling Multi-turn Conversation with Deep Utterance Aggregation

A Dataset for Building Code-Mixed Goal Oriented Conversation Systems

AnlamVer: Semantic Model Evaluation Dataset for Turkish - Word Similarity and Relatedness

Design Challenges and Misconceptions in Neural Sequence Labeling

Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering

Authorless Topic Models: Biasing Models Away from Known Structure

SGM: Sequence Generation Model for Multi-label Classification