NLPExplorer

Rep4NLP - 2017

Total Papers:- 33

Total Papers accross all years:- 64

Total Citations :- 98

Conference Topic Distribution

Conference Citation Distribution

Conference Reference Distribution

Topics

Linguistic Trends

Discourse Distributional Semantics Embeddings Formal Semantics Ontologies Syntax Psycholinguistics

Task

Language Understanding Tagging Syntactic Parsing Semantic Parsing Word Sense Disambiguation Named Entity Recognition Textual Entailment Semantic Similarity Information Retrieval Sentiment Analysis Event Detection Question Answering Coreference Resolution Language Generation Machine Translation Paraphrasing ASR

Approach

Deep Learning Structured Prediction Representation Learning Semi-supervised Learning Unsupervised Learning

Language

Multilingual Chinese English Korean Spanish French Arabic

Dataset

News Social Media Twitter Blogs Query Logs

Rep4NLP - 2017

Total Papers:- 33

Total Papers accross all years:- 64

Total Citations :- 98

Learning to Embed Words in Context for Syntactic Tasks

Towards Harnessing Memory Networks for Coreference Resolution

Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion

Sequential Attention: A Context-Aware Alignment Function for Machine Reading

Representing Compositionality based on Multiple Timescales Gated Recurrent Neural Networks with Adaptive Temporal Hierarchy for Character-Level Language Models

Prediction of Frame-to-Frame Relations in the FrameNet Hierarchy with Frame Embeddings

Intrinsic and Extrinsic Evaluation of Spatiotemporal Text Representations in Twitter Streams

Plan, Attend, Generate: Character-Level Neural Machine Translation with Planning

Learning when to skim and when to read

Proceedings of the 2nd Workshop on Representation Learning for NLP

Sense Contextualization in a Dependency-Based Compositional Distributional Model

Context encoders as a simple but powerful extension of word2vec

Semantic Vector Encoding and Similarity Search Using Fulltext Search Engines

Binary Paragraph Vectors

Gradual Learning of Matrix-Space Models of Language for Sentiment Analysis